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{{Short description|Metric used to measure signal quality}} {{Broader|Signal-to-noise ratio}} ...

...ccessdate= October 14, 2011 }}</ref> In '''coverage''' the strength of the signal is measured using test equipment and this can be used to estimate the size ...and the processing of the received signal at the receiver using [[Digital Signal Processor|DSP]]s.<ref name="chitamu">Chitamu. P.J., Telecommunications Acce ...

...in academic [[musicology]], [[psychoacoustics]], [[psychology]], [[signal processing]], [[informatics]], [[machine learning]], [[optical music recognition]], [[ ...rce separation is about separating original signals from a mixture [[audio signal]]. Instrument recognition is about identifying the instruments involved in ...

...support the intended application. This involves determining the minimum [[signal-to-noise ratio]] (SNR) needed to support performance requirements. ...s often presented along with a wireless [[heat map]] based on the recorded metrics.<ref name='heatmaps'/> ...

| credits = Author of "Digital Picture Processing", "Objects Trilogy Project" ...ty]] who has conducted pioneering research in several areas of information processing.{{citation needed|date=April 2020}} His most noteworthy contributions deal ...

A branch metric unit's function is to calculate ''branch metrics'', which are normed distances between every possible symbol in the code alp A path metric unit summarizes branch metrics to get metrics for <math>2^{K-1}</math> paths, where K is the constraint length of the cod ...

...and tree'''), is a [[wavelet]] transform where the discrete-time (sampled) signal is passed through more filters than the [[discrete wavelet transform]] (DWT ...rms/dp/0120471418/ref=sr_1_1?ie=UTF8&qid=1325021689&sr=8-1 Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets]. Boston, MA: Academic Pr ...

..., and is typically used in the [[machine learning]] and [[natural language processing]] domains. ==The ID3 metrics== ...

{{Short description|Effect in signal processing}} ...pectral component. For [[Fourier transform]] purposes, [[Sampling (signal processing)|sampling]] is modeled as a product between s(t) and a [[Dirac comb]] funct ...

...ames and Variational Image Deblurring |journal= IEEE Transactions on Image Processing|volume= 21|issue= 4|pages= 1715–28|date=30 June 2011 |doi= 10.1109/TIP.2011 == Evaluation Metrics == ...

...ishes from other techniques such as [[mean squared error]] (MSE) or [[peak signal-to-noise ratio]] (PSNR) that instead estimate absolute errors. Structural ...r visibility to structural similarity|journal = IEEE Transactions on Image Processing|date = 2004-04-01|issn = 1057-7149|pages = 600–612|volume = 13|issue = 4|do ...

...ently when compared to [[software]] running on a general-purpose [[central processing unit]] (CPU). Any [[function (mathematics)|transformation]] of [[data (comp ...re specialized processors such as programmable [[shader]]s in a [[Graphics processing unit|GPU]],<ref>{{Cite journal|last1=Lin|first1=Yibo|last2=Jiang|first2=Zix ...

...s, usually deployed in a certain geometry pattern, used for collecting and processing electromagnetic or acoustic signals. The advantage of using a sensor array ..., i.e., increasing [[signal-to-noise ratio]] ('''SNR''') by amplifying the signal coherently. Another example of sensor array application is to estimate the ...

...ven non-linear phase bringing flexibilities for optimal designs of various metrics, e.g. auto- and cross-correlations. ...crete-time" because the most prevalent application is to imaging and image processing where the input function arguments are equally spaced samples of spatial co ...

...systems may introduce some amount of distortion or artifacts in the video signal that negatively impact the user's perception of the system. For many stakeh ...ideo]] systems, it was possible to evaluate the quality aspects of a video processing system by calculating the system's [[frequency response]] using test signal ...

...a presumably [[periodic signal]], often in relation to a reference [[clock signal]]. In [[clock recovery]] applications it is called '''timing jitter'''.<ref ...the interval between two times of maximum effect (or minimum effect) of a signal characteristic that varies regularly with time. '''Jitter frequency''', th ...

...earned |class=eess.AS |eprint=1911.02388 }}</ref> It can facilitate speech processing, and can also be used to deactivate some processes during non-speech sectio ...1=Ravi Ramachandran|author2=Richard Mammone|title=Modern Methods of Speech Processing|url=https://books.google.com/books?id=JwD3BwAAQBAJ&pg=PA102|date=6 December ...

...mance is often limited by other bottlenecks: the [[hard disk]], [[Graphics processing unit|GPU]], [[disk controller]], [[Internet]], [[computer network|network]] ...ck rate]]s when performing everyday tasks (e.g. internet browsing and word processing), thus allowing the card to operate at lower temperature and thus lower, qu ...

...ther and more life-like motion. A non-interlaced (or [[progressive scan]]) signal that uses the same bandwidth only updates the display half as often and was Deinterlacing has been researched for decades and employs complex processing algorithms; however, consistent results have been very hard to achieve.<ref ...

| title = Conference on Neural Information Processing Systems | logo = [[File:Logo for Conference on Neural Information Processing Systems.svg|200px]] ...