In signalprocessing , the term pulse has the following meanings A rapid, transient change in the amplitude of a Signalling telecommunication signal from a baseline value to a higher or lower value, followed by a rapid return to the baseline value. A rapid change in some characteristic of a signal, e.g., phase waves phase or frequency , from a baseline value to a higher or lower value, followed by a rapid return to the baseline value. ref FS1037C MS188 ref Pulse shapes Pulse shapes can arise out of a process called Pulse shaping pulse shaping . Optimum pulse shape depends on the application. Rectangular pulse These can be found in pulse wave s, square wave s, boxcar function s, and rectangular function s. In digital signals the up and down transitions between high and low levels are called the rising edge and the falling edge . In digital systems the detection of these sides or action taken in response is termed edge triggered, rising or falling depending on which side of rectangular pulse. A digital timing diagram is an example of a well ordered collection of rectangular pulses. Nyquist pulse A Nyquist pulse is one which meets the Nyquist ISI criterion and is important in data transmission. An example of a pulse which meets this condition is the sinc function . The sinc pulse is of some significance in signalprocessing theory but cannot be produced by a real generator for reasons of causality. Gaussian pulse A Gaussian pulse is shaped as a Gaussian function and is produced by a Gaussian filter . It has the properties of maximum steepness of transition with no overshoot and minimum group delay . References references Category signalprocessingSignalprocessing stub lt Impulsas signalas nl Puls elektriciteit ja pt Pulso processamento de sinal uk ... more details
Signalprocessing is an area of electrical engineering and applied mathematics that deals with operations ... on those signals. Signals of interest can include audio signalprocessing sound , image processing images ... In communication systems, signalprocessing may occur at OSI model OSI layer 1, the Physical ... , the principles of signalprocessing can be found in the classical numerical analysis techniques ... SignalProcessing year 1975 publisher Prentice Hall isbn 0 13 2146355 author Oppenheim, Alan V. coauthors Schafer, Ronald W. page 5 ref Mathematical topics embraced by signalprocessing Linear signals ... Iterative methods Categories of signalprocessing Analog signalprocessing Analog signalprocessing ... controlled filter s, voltage controlled oscillator s and phase locked loop s. Discrete time signalprocessing Discrete time signalprocessing is for sampled signals that are considered as defined only ... time signalprocessing is a technology based on electronic devices such as sample and hold circuits ... was a predecessor of digital signalprocessing see below , and is still used in advanced processing of gigahertz signals. The concept of discrete time signalprocessing also refers to a theoretical discipline that establishes a mathematical basis for digital signalprocessing, without taking quantization error into consideration. Digital signalprocessing Digital signalprocessing is for signals ... filter s. Fields of signalprocessing Statistical signalprocessing &mdash analyzing and extracting information from signals and noise based on their stochastic properties Audio signalprocessing &mdash for electrical signals representing sound, such as speech or music Speech signalprocessing &mdash ... &mdash for processing signals from arrays of sensors Time frequency analysis Time frequency signal ... Signal Analysis and Processing A Comprehensive Reference , Elsevier Science, Oxford, 2003 ISBN 0080443354 ref Filter signalprocessing Filtering &mdash used in many fields to process signals Seismic ... more details
Summary Graphic created by Nanoatzin to describe pulse Doppler signalprocessing. User Nanoatzin Nanoatzin User talk Nanoatzin talk 16 27, 29 January 2011 UTC Licensing self cc by sa 3.0 GFDL migration redundant ... more details
The Pulse may refer to tocright Radio The Pulse Sirius XM , a hot AC channel on Sirius XM Radio The Pulse Sirius , The original Sirius incarnation on channel 9 until November 12, 2008 The Pulse of West Yorkshire , a UK radio station originally known as Pennine Radio 94.7 The Pulse , an Australian community radio station from Geelong, Victoria formerly known as 3YYR The Pulse program , an Australian radio program The Pulse ESPN Radio , a college basketball program airing on ESPN Radio Comics The Pulse comics , a Marvel comic book about a section of the Daily Bugle newspaper focusing on superheroes The Pulse comics news , a comic book news website at Comicon.com Novels The Pulse, the signal transmitted from cell phones that made people go crazy in Stephen King s Cell novel Cell Other Central Pulse , a New Zealand netball team based in Wellington that compete in the trans Tasman ANZ Championship The Pulse, a lifestyle and entertainment magazine in Worcester, MA The Pulse, a weekly local music and entertainment magazine in Minneapolis, MN The Pulse Journal , a weekly broadsheet newspaper founded in Mason, Ohio and owned by Cox Enterprises The Pulse, A Social Experiment, a voluntary experiment to do without electronics for a period of time See also Pulse disambiguation disambig ... more details
other uses Refimprove date December 2008 In medicine , one s pulse represents the tactile arterial palpation of the heartbeat by trained fingertips. The pulse may be palpated in any place that allows an artery ... joint posterior tibial artery . The pulse can also be measured by listening to the heart beat directly auscultation , traditionally using a stethoscope . Physiology The pulse is a decidedly low ... of cardiac performance. Claudius Galen was perhaps the first physiologist to describe the pulse. ref Temkin 165 BBC a ref The pulse is an expedient tactile method of determination of Systole medicine ... in Pulse diagnosis Pulse Diagnosis and seek six different pulses in each wrist, each corresponding ... and volume of the pulse and may characterize it as strong, thready, slippery or floating. ref The Pulse ... enough to create a palpable pressure wave. The Heart Rate may be greater or lesser than the Pulse ... or audible sounds at the heart apex, in which case it is not the pulse. The pulse deficit difference ... artery and auscultation at the heart apex. Pulse velocity, pulse deficits and much more physiologic ... care since the 1970s. The rate of the pulse is observed and measured by tactile or visual means on the outside of an artery and is recorded as beats per minute or BPM. The pulse may be further indirectly ... mathematical ratios. Applied capture of variances of light signal from the Blood component Hemoglobin under oxygenated vs. deoxygenated conditions allows the technology of Pulse Oximetry . Normal Pulse Rates Normal pulse rates in beats per minute BPM class wikitable newborn ... athletes 120 160 80 140 80 130 75 120 75 110 60 100 40 70 The pulse rate can be used ... cite web title Pulse Rate Measurement url http www.webmd.com heart disease pulse measurement work Healthwise publisher WebMD accessdate 14 March 2011 ref Evaluation A collapsing pulse is a sign of hyperdynamic circulation . Several pulse patterns can be of clinical significance. These include Pulsus ... more details
Orphan date April 2010 Cleanup date March 2011 citations date March 2011 http www.s pulse.eu S PULSE is the acronym of Shrink Path of Ultra Low Power Superconducting Electronics. S PULSE is a support action of the European Seventh Framework Programme FP7 that stimulates joint efforts of European academic and industrial groups in the field of superconducting technologies. The general goal is to prepare Superconductor Electronics SE technologies for the technology generation beyond the CMOS scaling limits called often beyond CMOS . S PULSE supports the Superconducting Electronics community to strengthen the vital link between research and development and industry. It also strengthens the exchange of knowledge and ideas and take charge of education. The challenge in SE is to achieve superconducting electronic circuit performance beyond the possibilities of semiconductor circuit technologies, and to make SE technologies ready to benefit to other technologies in the world markets. This support action, developed in the 2008 2010 period, is focused to prepare a Technology Roadmap and a Strategic Research Agenda SRA to enable the transition from the present scientific oriented network for SE towards an industrially guided European Technology Platform ETP . References See Wikipedia Footnotes on how to create references using ref ref tags which will then appear here automatically Reflist External links http www.s pulse.eu S PULSE http www.lahc.univ savoie.fr fluxonics FLUXONICS http www.fluxonics foundry.de FLUXONICS Foundry RSFQ DEFAULTSORT S Pulse Category Superconductivity ... more details
Pulse was a tabloid magazine published by Tower Records which contained record reviews, interviews and advertising. ref citation url http www.sfgate.com cgi bin article.cgi?f c a 2006 10 19 DDGPJLR16L32.DTL title For S.F. rockers, Tower Records was where it was all happening now the party s over author Joel Selvin authorlink Joel Selvin publisher San Francisco Chronicle date October 19, 2006 ref Initially, it was given away free in their stores to promote their record sales. ref citation url http www.statehornet.com home index.cfm?event displayArticlePrinterFriendly&uStory id 2a04805e abc4 4280 a6e5 ac16184d46d9 title Tower Records magazine full of information author Cindy Vincent date 24 April 2001 publisher The State Hornet format dead link date May 2010 ref After nine years, in 1992, the magazine began national distribution with a cover price of 2.95, ref citation url http nl.newsbank.com nl search we Archives?p product SB&p theme sb&p action search&p maxdocs 200&p topdoc 1&p text direct 0 0EB0D9B1676ACC86&p field direct 0 document id&p perpage 10&p sort YMD date D&s trackval GooglePM title Pulse gives rock lovers their money s worth publisher Sacramento Bee date January 28, 1992 ref but was cancelled when the company discontinued U.S. operations. References reflist Category American music magazines entertainment mag stub es Pulse ... more details
Analog signalprocessing is any signalprocessing conducted on analog signal s by analog means. Analog ... error in the signals represented by such physical quantities. Examples of analog signalprocessing include ... on TVs. Common analog processing elements include capacitors, resistors, inductors and transistors. Tools used in analog signalprocessing A system s behavior can be mathematically modeled and is represented ... signals are usually called y t or Y s . Convolution Convolution is the basic concept in signalprocessing that states an input signal can be combined with the system s function to find the output signal ... any signal can be used in analog signalprocessing, there are many types of signals that are used very frequently. Sinusoids Sine wave Sinusoids are the building block of analog signalprocessing. All ... types of systems that can be easily solved using conventional analog signalprocessing methods. Once ... processingSignal electrical engineering Analogue electronics Analog recording vs. digital recording .... SignalProcessing First. Upper Saddle River, NJ Pearson Education, Inc., 2003. Category Signal ... sygna w ru simple Analog signalprocessing zh ... from digital which uses a series of discrete quantities to represent signal. Analog values are typically ... and is used to find the convolution of a signal and a system typically a and b . Consider two ... a signal or system in the time domain into the frequency domain, but it only works for certain ... of a signal or system. The inverse Fourier transform is used to go from frequency domain to time domain math x t frac 1 2 pi int infty infty X j omega e j omega t , d omega math Each signal or system that can be transformed has a unique Fourier transform there is only one time signal and one frequency signal that goes together. Laplace transform details Laplace transform The Laplace transform is a generalized Fourier transform . It allows a transform of any system or signal because it is a transform ... more details
In the Abstract algebra algebraic theory of linear signalprocessing , a set of Filter signalprocessing filter s is treated as an Algebra ring theory algebra and a set of Signal electrical engineering signal s is treated as a Module mathematics module and the z transform is generalized to linear map s. References citation last1 P schel first1 Markus last2 Moura first2 Jose M. F. title Algebraic SignalProcessing Theory date 2006 id arxiv cs 0612077 . External links http www.ece.cmu.edu smart research.html Smart Project Algebraic Theory of SignalProcessing at the Department of Electrical and Computer Engineering at Carnegie Mellon University. Category Algebra Category Signalprocessing electronics stub ... more details
by an inability for an ADC output value to change sufficiently rapidly. Quantization signalprocessing ... noise and Headroom audio signalprocessing loudspeaker headroom being the real limiting factors ... Digital signalprocessing Downsampling Upsampling Oversampling References Matt Pharr and Greg Humphreys ... devoted to Sampling Theory Category Signalprocessing ar bg ca Mostratge ...Image Signal Sampling.png thumb 300px Signal sampling representation. The continuous signal is represented with a green color whereas the discrete samples are in blue. In signalprocessing , sampling is the reduction of a continuous signal to a discrete signal . A common example is the conversion of a sound wave a continuous signal to a sequence of samples a discrete time signal . A sample refers to a value ... samples from a continuous signal . A theoretical ideal sampler produces samples equivalent to the instantaneous value of the continuous signal at the desired points. Theory See also Nyquist ... are obtained in two or more dimensions. Let x t be a continuous signal which is to be sampled, and that sampling is performed by measuring the value of the continuous signal every T seconds, which is called the sampling interval . Thus, the sampled signal x n given by x n x nT , with n 0, 1, 2 ... per second. We can now ask under what circumstances is it possible to reconstruct the original signal ... signal. This frequency half the sampling rate is called the Nyquist frequency of the sampling system. Frequencies above the Nyquist frequency f sub N sub can be observed in the sampled signal, but their frequency .... Practical implications In practice, the continuous signal is sampled using an analog to digital ... is that the signal be bandlimited. However, in practice, no time limited signal can be bandlimited ... to the signal value at the sampling instant. The integration effect is readily noticeable in photography ..., result in the original signal before sampling but instead output a sequence of piecewise constant ... more details
Refimprove date March 2010 Image Sampled.signal.svg right thumb Sampled signal discrete signal discrete time, continuous values. Image Quantized.signal.svg right thumb Quantized signal continuous time, discrete values. Image Digital.signal.svg right thumb Digital signal sampled, quantized discrete time, discrete values. In digital signalprocessing , quantization is the process of approximating mapping ... set of values which can be encoded by binary techniques for example. In signalprocessing, quantization ... replacing the input by a discrete set is called discretization, and is done by sampling signalprocessing sampling the resulting sampled signal is called a discrete signal discrete time , and need not be quantized it can have continuous values . To produce a digital signal discrete time and discrete ... quantization . In digital signalprocessing the quantization process is the necessary and natural ... Principles publisher McGraw Hill isbn doi DEFAULTSORT Quantization SignalProcessing Category Signalprocessing ca Quantificaci processament de senyal cs Kvantov n sign l da Kvantisering ... interval math I a,b math of the range of a continuous valued signal, with a single number c, which ... signal is quantized the difference between the continuous signal and the quantized signal is an error. Strictly speaking this error is distortion since the same signal quantized repeatedly results in the same error. If a periodic signal like a sine wave is synchronously sampled and quantized then the quantized signal will exhibit harmonic distortion. However, even though it is actually distortion ... quantization operation, consists of three parts 1 Encoder Divides the input signal range into M intervals ... math and 0 elsewhere. The step size math Delta frac 2X max M math and SQNRdb small Signal to Quantization ... such that the MSQE is minimized for the signal under consideration. Remembering that the optimum ... SQNR, is achieved. The the design of a suboptimum uniform quantizer for a nonuniform signal is important ... more details
Time Reversal SignalProcessing is a technique for focusing wave s. A Time Reversal Mirror TRM is a device that can focus waves using the time reversal method. TRMs are also known as time reversal mirror arrays, as they are usually Array processing arrays of transducers, but they do not have to be arrays. TRM was invented by Mathias Fink at the cole sup rieure de physique et de chimie industrielles de la ville de Paris . This article needs a few more citations. Comments specify a few places that need more work Overview If the source is passive, i.e. some type of isolated reflector, an iterative technique can be used to focus energy on it. The TRM transmits a plane wave which travels toward the target and is reflected off it. The reflected wave returns to the TRM, where it looks as if the target has emitted a weak signal. The TRM reverses and retransmits the signal as usual, and a more focused wave travels toward the target. As the process is repeated, the waves become more and more focused on the target. Yet another variation is to use a single transducer and an ergodic theory ergodic cavity. Intuitively, an ergodic cavity is one that will allow a wave originating at any point to reach any other point. An example of an ergodic cavity is an irregularly shaped swimming pool if someone ... by Time Reversal Single Antenna ,IEEE Transactions on SignalProcessing, 55 1, pp. 187 201, January ... seem to provide the greatest benefit. Applications The beauty of time reversal signalprocessing ... media . An attractive aspect of time reversal signalprocessing is the fact that it makes use of multipath ... American November 1999. pp. 91 97. Category Signalprocessing fr Retournement temporel ... filter . If a delta function is the original signal, then the received signal at the TRM is the impulse ..., where the original source was. It is important to realize that the signal is concentrated in both ... TRM, and 2000 thin steel rods located between the source and the array. The source sent a 1 s pulse ... more details
The IEEE SignalProcessing Society is a society of the IEEE . It is also known by the acronym IEEE SPS . In the hierarchy of IEEE, the SignalProcessing Society is one of close to 40 technical societies ... web societies home index.html accessdate 2009 05 01 ref The IEEE SignalProcessing Society ... of the society is defined to be The IEEE SignalProcessing Society is an international ... educate the signalprocessing community and provide a venue for people to interact and exchange ideas. and the field of interest is defined to be The SignalProcessing Society s Field of Interest ..., task forces, and technical committees. Publications The SignalProcessing Society oversees ... web title SPS Periodicals publisher IEEE SignalProcessing Society url http www.signalprocessingsociety.org publications periodicals accessdate 2009 05 01 ref IEEE Journal of Selected Topics in SignalProcessing IEEE SignalProcessing Letters IEEE SignalProcessing Magazine Inside SignalProcessing e Newsletter IEEE Transactions on Audio, Speech, and Language Processing IEEE Transactions on Image Processing IEEE Transactions on Information Forensics and Security IEEE Transactions on SignalProcessing ... SignalProcessing electronic Library SPeL The IEEE SignalProcessing electronic Library SPeL is a comprehensive electronic collection of more than 50 years of the IEEE SignalProcessing Society s periodicals ... Conference on Acoustics, Speech, and SignalProcessing ICASSP International Conference on Image Processing ICIP International Symposium on Biomedical Imaging ISBI IInternational Symposium on SignalProcessing and Information Technology ISSPIT International Conference on Signal and Image Processing ... references External links http www.signalprocessingsociety.org The SignalProcessing Society s Website IEEE societies DEFAULTSORT Ieee SignalProcessing Society Category IEEE societies ... or techniques. The term signal includes audio, video, speech, image, communication, geophysical ... more details
Unreferenced stub auto yes date December 2009 This article is related to signalprocessing . For other meanings of the word Decimation , please see Decimation disambiguation . In digital signalprocessing , decimation is a technique for reducing the number of Sample signal samples in a Discrete signal discrete time signal . The element which implements this technique is referred to as a decimator . Decimation is a two step process Anti aliasing filter Low pass anti aliasing filter Downsampling An example of decimation the frequency of a recorded sound can be raised an octave in other words, doubled in frequency by eliminating every other sample without changing the sampling rate . This will result in aliasing if the sound contains overtones whose doubled frequency will exceed half the sampling rate. Decimation aliasing can be avoided by eliminating those overtones with a lowpass filter before downsampling. The same principle applies to eliminating samples at other intervals. See also Downsampling DEFAULTSORT Decimation SignalProcessing Category Digital signalprocessing Tech stub pl Decymacja cyfrowe przetwarzanie sygna w ru ... more details
Audio signalprocessing , sometimes referred to as audio processing , is the intentional alteration of sound auditory Signal information theory signals , or sound . As audio signals may be electronically represented in either digital or analog signal analog format, signalprocessing may occur in either domain. Analog processors operate directly on the electrical signal, while digital processors operate mathematically on the digital representation of that signal. History Audio processing was necessary for early radio broadcasting as there were many problems with studio to transmitter links. Analog signals An analog representation is usually a continuous, non discrete, electrical a voltage level represents the Pressure air pressure waveform of the sound. Digital signals Main Digital signalprocessing A digital representation expresses the pressure wave form as a sequence of symbols, usually Binary numeral system binary numbers. This permits signalprocessing using digital circuits such as microprocessors and computers . Although such a conversion can be prone to loss, most modern audio systems use this approach as the techniques of digital signalprocessing are much more powerful and efficient than analog domain signalprocessing. ref citebook title Digital Audio SignalProcessing first Udo last Z lzer publisher John Wiley and Sons year 1997 ISBN 0471972266 ref Application areas Processing methods and application areas include audio storage storage , audio level compression level ... unit Signalprocessing Sound card Sound effect References Reflist Further reading Cite book last Rocchesso first Davide authorlink coauthors title Introduction to Sound Processing publisher date March ... sp.pdf doi id isbn DEFAULTSORT Audio SignalProcessing Category Signalprocessing Category ... processing products globally. Citation needed date March 2009 Traditionally the most important audio processing in audio broadcasting takes place just before the transmitter. Studio audio processing ... more details
Unreferenced date December 2009 Speech signalprocessing refers to the acquisition, manipulation, storage, transfer and output of vocal utterances by a computer. The main applications are the recognition, synthesis and compression of human speech Speech recognition also called voice recognition focuses on capturing the human voice as a digital sound wave and converting it into a computer readable format. Speech synthesis is the reverse process of speech recognition. Advances in this area improve the computer s usability for the visually impaired. Speech compression is important in the telecommunications area for increasing the amount of information which can be transferred, stored, or heard, for a given set of time and space constraints. Speaker diarization is the process of determining who spoke when in a signal. . DEFAULTSORT Speech SignalProcessing Category Signalprocessing multimedia software stub ... more details
unreferenced date May 2007 Host SignalProcessing HSP is a term used in computing to describe hardware such as a modem or Computer printer printer which is emulated to various degrees in software. Intel uses the term Native SignalProcessing NSP . HSP replaces dedicated Digital signal processor DSP or ASIC hardware by using the general purpose CPU of the host computer. Modems using HSP are known as winmodem s a term trademarked by 3COM USRobotics, but genericized or softmodem s. Printers using HSP are known as GDI printer s after the MS Windows GDI software interface , winprinter s named after winmodems or softprinter s. The Apple II floppy drive used the host CPU to process drive control signals, instead of a microcontroller . This instance of HSP predates the usage of the terms HSP and NSP. Category Computing terminology compu stub pt Host SignalProcessing ... more details
Refimprove date May 2008 Digital signalprocessing DSP is concerned with the representation of signal electronics signal s by a sequence of numbers or symbols and the processing of these signals. Digital signalprocessing and analog signalprocessing are subfields of signalprocessing . DSP includes subfields like audio signalprocessing audio and speech signalprocessing , sonar and radar signalprocessing, sensor array processing, spectral estimation, statistical signalprocessing, digital image processing , signalprocessing for communications, control of systems, biomedical signalprocessing ... processing and has a discrete signal discrete value range , the application of computational power to digital signalprocessing allows for many advantages over analog processing in many applications ... . ref cite book title Digital SignalProcessing Instant access author James D. Broesch, Dag Stranneby ... technologies used for digital signalprocessing including more powerful general purpose microprocessor ... others. ref cite book title Digital SignalProcessing and Applications author Dag Stranneby and William ... signalprocessing With the increasing use of computer s the usage of and need for digital signalprocessing ... signalprocessing quantization . In the discretization stage, the space of signals is partitioned ... common processing approach in the time or space domain is enhancement of the input signal through ... guitar amplifiers . Implementation Digital signalprocessing is often implemented using ... div Related fields Analog signalprocessing Automatic control Computer Engineering Computer Science ... wikibooks Digital SignalProcessing div class references small Alan V Oppenheim Alan V. Oppenheim , Ronald W Schafer Ronald W. Schafer , John R. Buck Discrete Time SignalProcessing , Prentice Hall, ISBN 0 13 754920 2 Boaz Porat A Course in Digital SignalProcessing , Wiley, ISBN 0471149616 Richard G. Lyons Understanding Digital SignalProcessing , Prentice Hall, ISBN 0 13 108989 7 Jonathan Yaakov ... more details
Nofootnotes article date March 2009 Statistical signalprocessing is an area of Applied Mathematics and SignalProcessing that treats signals as stochastic process es, dealing with their statistical properties e.g., mean , covariance , etc. . Because of its very broad range of application Statistical signalprocessing is taught at the graduate level in either Electrical Engineering , Applied Mathematics , Pure Mathematics Statistics , or even Biomedical Engineering and Physics departments around the world, although important applications exist in almost all scientific fields. In many areas signals are modeled as functions consisting of both deterministic and stochastic components. A simple example and also a common model of many statistical systems is a signal math y t math that consists of a deterministic part math x t math added to noise which can be modeled in many situations as white Gaussian noise math w t math math y t x t w t , math where math w t sim mathcal N 0, sigma 2 math White noise simply means that the noise process is completely uncorrelated. As a result, its autocorrelation ... of Statistical SignalProcessing publisher Prentice Hall location Upper Saddle River, New Jersey ... Statistical SignalProcessing lecture notes http ece.uwaterloo.ca ece603 at the University of Waterloo ... 022464 4. DSP Signalprocessing stub stat stub Category Signalprocessing Category Time series analysis ... variable from which it is derived, we can increase our knowledge of the output signal conversely, given the statistical properties of the output signal, we can infer the properties of the underlying ... spectroscopy nuclear magnetic resonance to improve the signal noise ratio of nmr spectra. The signal ... the signal to noise ratio is increased by a factor of 100, enabling the measurement of carbon ... filter Particle filter Further reading cite book first Louis L. last Scharf title Statistical signalprocessing detection, estimation, and time series analysis publisher Addison Wesley location Boston ... more details
Unreferenced date December 2006 In signalprocessing , the energy math E s math of a continuous time signal x t is defined as math E s langle x t , x t rangle int infty infty x t 2 dt math Energy in this context is not, strictly speaking, the same as the conventional notion of energy in physics and the other sciences. The two concepts are, however, closely related, and it is possible to convert from one to the other math E E s over Z 1 over Z int infty infty x t 2 dt math where Z represents the magnitude, in appropriate units of measure, of the load driven by the signal. For example, if x t represents the electric potential potential in volt s of an electrical signal propagating across a transmission line, then Z would represent the characteristic Electrical impedance impedance in ohm s of the transmission line. The units of measure for the signal energy math E s math would appear as volt sup 2 sup seconds, which is not dimensionally correct for energy in the sense of the physical sciences. After dividing math E s math by Z , however, the dimensions of E would become volt sup 2 sup seconds per ohm, which is equivalent to joule s, the SI unit for energy as defined in the physical sciences. Spectral Energy Density Similarly, the Spectral density spectral energy density of signal x t is math E s f X f 2 math where X f is the Fourier transform of x t . For example, if x t represents the magnitude of the electric field component in volts per meter of an optical signal propagating through free space , then the dimensions of X f would become volt seconds per meter and math E s f math would represent the signal s spectral energy density in volts sup 2 sup second sup 2 sup per meter ... , one can prove that the signal energy is always equal to the summation across all frequency components of the signal s spectral energy density. See also Signalprocessing Parseval s theorem Inner product Category Signalprocessing cs Energie zpracov n sign lu de Energiesignal ... more details
In time series analysis or forecasting as conducted in statistics , signalprocessing , and many other fields the innovation is the difference between the observed value of a variable at time t and the optimal forecast of that value based on information available prior to time t . If the forecasting method is working correctly successive innovations are uncorrelated with each other, i.e., constitute a white noise time series. Thus it can be said that the innovation time series is obtained from the measurement time series by a process of whitening , or removing the predictable component. The use of the term innovation in the sense described here is due to Hendrik Bode and Claude Shannon 1950 ref C.E.Shannon and H.Bode A simplified derivation of linear least square smoothing and prediction theory, Proc. IRE, vol. 38, pp. 417 425, 1950, reprinted as Chapter 51 in The Collected Papers of Claude Shannon, IEEE Press, 1993 ISBN 0 7803 0434 9 ref in their discussion of the Wiener filter problem, although the notion was already implicit in the work of Kolmogorov . ref S.K.Mitter Nonlinear filtering of diffusion processes, Springer 1982 ref See also Kalman filter Filtering problem stochastic processes Errors and residuals in statistics Innovation butterfly References reflist DEFAULTSORT Innovation SignalProcessing Category Signalprocessing Category Stochastic processes ... more details
saturated. Digital processing see Saturation arithmetic In digital signalprocessing , clipping occurs when the signal is restricted by the range of a chosen representation. For example in a system ... that can be represented, and if during processing the amplitude of the signal is doubled, sample signal ... range compression Clipping audio References reflist Category Signalprocessing de Clipping Signalverarbeitung ... they are cut off flat, or clipped . Clipping is a form of distortion that limits a signal information theory signal once it exceeds a threshold. Clipping may occur when a signal is recorded by a sensor that has constraints on the range of data it can measure, it can occur when a signal is digitized , or it can occur any other time an analog signal analog or digital signal is transformed, particularly in the presence of gain or Overshoot signal overshoot and undershoot. Clipping may be described as hard, in cases where the signal is strictly limited at the threshold, producing a flat cutoff or it may be described as soft, in cases where the clipped signal continues to follow the original ... range as the clipped waveform comes closer to a squarewave . The extra high frequency weighting of the signal could make tweeter damage more likely than if the signal was not clipped. However most loudspeakers ... use a Clipper electronics clipper or clamper electronics clamper to keep a signal within a desired range. When an amplifier is pushed to create a signal with more power than it can support, it will amplify the signal only up to its maximum capacity, at which point the signal will be amplified no further ..., and sometimes even the sign of the sample value, resulting in gross distortion of the signal .... Avoiding clipping Clipping can be detected by viewing the signal on an oscilloscope, for example , and observing ... of white pixels and decide if too much clipping has occurred. To avoid clipping, the signal can be dynamically ..., but it prevents any data from being completely lost. Repairing a clipped signal When clipping occurs ... more details
In signalprocessing , a filter is a device or process that removes from a Signal electronics signal some unwanted component or feature. Filtering is a class of signalprocessing, the defining feature of filters being the complete or partial suppression of some aspect of the signal. Most often, this means removing some frequency frequencies and not others in order to suppress interfering signals and reduce background signal noise noise . However, filters do not exclusively act in the frequency domain especially in the field of image processing many other targets for filtering exist. There are many different bases of classifying filters and these overlap in many different ways there is no simple hierarchical classification. Filters may be analogue filter analog or digital filter digital discrete time sampled or continuous time linear filter linear or non linear filter non linear Time variant system time invariant or Time variant system time variant , also known as shift invariance. If the filter operates in a spatial domain then the characterization is space invariance. passive component ... continuous time circuit is perhaps the most common meaning for filter in the signalprocessing ... optics Optical filter s were originally developed for purposes other than signalprocessing such as lighting ... find signalprocessing applications and signalprocessing filter terminology, such as Filter ... Golay smoothing filter Electronic Filters DEFAULTSORT Filter SignalProcessing Category Signalprocessing ..., a linear filter . Any non linearity will result in the output signal containing components of frequency which were not present in the input signal. The modern design methodology for linear continuous ... of cases they are used to process an electronic signal and transducer s are provided to convert this to and from ... function The transfer function math H s math of a filter is the ratio of the output signal math Y s math to that of the input signal math X s math as a function of the complex frequency math s math ... more details
line or the entire electromagnetic spectrum spectral range . In many signalprocessing contexts, bandwidth ... to stay intact. In signalprocessing and control theory the bandwidth is the frequency at which the closed ... Reflist DEFAULTSORT Bandwidth SignalProcessing Category Signalprocessing Category Telecommunication ... frequency RF bandwidth , signal bandwidth , frequency bandwidth , spectral bandwidth or analog bandwidth ... or logarithm ically scaled. In some contexts, the signal bandwidth in hertz refers to the frequency range in which the signal s spectral density is nonzero or above a small threshold value. That definition ... relaxed so that the bandwidth is defined as the range of frequencies in which the signal s spectral ... baseband models of communication systems, the signal spectrum consists of both negative and positive ... B math is the total bandwidth i.e. the maximum passband bandwidth of the carrier modulated RF signal ... model of the signal would require a lowpass filter with cutoff frequency of at least math W math to stay ... domain where the signal is math frac 1 sqrt 2 math of the maximum signal amplitude half ... more details
dablink This article is about the audio signalprocessing term. For other uses, see Headroom disambiguation . In digital and analog sound reproduction audio , headroom is the amount by which the signal handling capabilities of an audio system exceed a designated level known as Permitted Maximum Level PML . Headroom can be thought of as a safety zone allowing transient audio peaks to exceed the PML without exceeding the signal capabilities of an audio system digital clipping, for example . Various standards bodies recommend various levels as Permitted Maximum Level. Headroom in digital audio In digital audio, headroom is defined as the amount by which digital full scale FS exceeds the permitted maximum level PML in Decibel dB decibels . The EBU European Broadcasting Union EBU specifies a PML of 9 dB below 0 dBFS 9 dBFS , thus giving 9 dB of headroom. An alternative EBU recommendation allows 24 dB of headroom, which might be used for 24 bit master recordings where it is useful to allow more room for unexpected peaks during live recording. Failure to provide adequate headroom can bring about clipping audio clipping of brief, higher level transients. Headroom in analog audio In analog audio, headroom can mean low level signal capabilities as well as for the amount of extra power reserve available within the power amplifiers that drive the loudspeakers. Alignment level main Alignment level Alignment level is an anchor point, 9 db below the nominal level, Fact date June 2009 a reference level which exists throughout the system or broadcast chain, though it may have different actual voltage levels at different points in the analog chain. Typically, nominal not alignment level is 0 dB, corresponding to an analog sine wave voltage of RMS voltage of 1.23 volts 4 dBu or 3.47 volts peak to peak . In the digital realm, alignment level is 18 dBFS. Image Lindos10.png centre AL analog level SPL sound pressure level See also Audio quality measurement Noise measurement Programme levels ... more details
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