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...viation of the time variations. This indicates the time instability of the signal source. This is a scaled variant of frequency stability of [[Allan deviatio ...bility of a signal over a given period. Measurements of a reference timing signal will refer to its TDEV and [[maximum time interval error]] (MTIE) values, c ...

...y used in image processing, and fourier transform is usually used in audio processing. The set of basis functions is usually called a ''dictionary''. ...of Sparse Dictionary Learning. It aims to find a dictionary, such that the signal can be sparsely represented by the dictionary. The optimization problem can ...

...rement|thumb|Beat-to-beat measurement of QT interval using two-dimensional signal warping (2DSW).]] ...echniques<ref>{{Cite web|url=http://2dsw.com/|title=2DSW – Two-Dimensional Signal Warping (2DSW)|website=2dsw.com|access-date=2017-12-01}}</ref> perform comp ...

...ription|Interdisciplinary approach to scientific modelling and information processing}} ...ific modeling]], [[inference]] and efficient [[Data processing|information processing]]. It is the science of modeling, reasoning, and drawing inferences under c ...

...it is impractical to alter the hardware of the measurement system. By post-processing the sample-series and implementing a software bandwidth a modified Allan va [[Category:Signal processing metrics]] ...

...c.uk/cvssp/about/index.htm |title=THE CENTRE FOR VISION, SPEECH AND SIGNAL PROCESSING |website=surrey.ac.uk |publisher=University of Surrey |accessdate=27 Januar : "For contributions to pattern recognition, image processing and computer vision". ...

...d Reweighted |journal=IEEE/ACM Transactions on Audio, Speech, and Language Processing |date=2020 |volume=28 |pages=2906–2918 |doi=10.1109/TASLP.2020.3030486|arxi ...npainting is to fill in the gaps (i.e., the missing portions) in the audio signal seamlessly, making the reconstructed portions indistinguishable from the or ...

| genre = [[Image processing]] ===Metrics=== ...

...mum-Likelihood (NPML)''' is a class of [[Signal processing|digital signal-processing]] methods suitable for [[Magnetic data storage|magnetic data storage system ...f name="Eleftheriou">{{cite journal|last=Eleftheriou|first=E.|title=Signal Processing for Magnetic-Recording Channels|journal=Wiley Encyclopedia of Telecommunica ...

...wo-wave with diffuse power (TWDP) fading''' is a model that explains why a signal strengthens or weakens at certain locations or times. TWDP models fading du ...ncreased or decreased, but the effect is most noticeable when it makes the signal completely unreceivable, a ''deep fade''.<ref name=multi>{{cite web |url=ht ...

...hapter=Artificial evolution and the Parisian approach: applications in the processing of signals and images|last2=Louchet|first2=Jean|last1=Collet|first1=Pierre| ...e=Dynamic Flies: a new pattern recognition tool applied to stereo sequence processing|last1=Louchet|first1=Jean|last2=Guyon|first2=Maud|last3=Lesot|first3=Marie- ...

...on of distributions by mean values of statistics and certain probabilistic metrics A. A. Zinger, A. V. Kakosyan, L. B. Klebanov in Journal of Soviet Mathemati |journal= Signal Processing ...

...time <math>O(\varepsilon^{-2} n^{1+1/(1+\varepsilon)^2+o(1)}).</math> For metrics defined by [[shortest path problem|shortest paths]] on weighted undirected | journal = [[IEEE Signal Processing Society|IEEE Transactions on Image Processing]] ...

...SP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing | chapter=High-resolution image reconstruction from lower-resolution image .... | title=Superresolution with second generation wavelets | journal=Signal Processing: Image Communication | publisher=Elsevier BV | volume=19 | issue=5 | year=2 ...

...ation networks in order to predict and control various network performance metrics. The models require using techniques from stochastic geometry and related f ...ties are often based on concepts from [[information theory]] such as the [[signal-to-interference-plus-noise ratio]], which forms the mathematical basis for ...

...ear=2004 |title=The exploitation of distributional information in syllable processing |journal=J. Neurolinguistics |volume=17 |issue=2–3 |pages=97–119 |doi=10.10 ...tion coefficients for binary and multinary classification, Elsevier Signal Processing, 222, 109511, doi = https://doi.org/10.1016/j.sigpro.2024.109511</ref> ...

...metric synthetic-aperture radar|InSAR]] due to varying delays in the radar signal.<ref name=":0" /> Overall, atmospheric correction methods can be divided in ...dao |url=https://www.mdpi.com/books/book/2809 |title=InSAR Signal and Data Processing |last2=Lu |first2=Zhong |last3=Yu |first3=Hanwen |date=2020-09-04 |publishe ...

Unlike [[Metric (mathematics)|metrics]], divergences are not required to be symmetric, and the asymmetry is impor | journal=IEEE Signal Processing Letters ...

...connectivity are [[Cross-correlation|correlation]] and [[Coherence (signal processing)|coherence]]. The above measures provide information on the directionality ...V''_''i'',''n''(t) = var(''E''_''i'',''n''(''t'')) for signal ''x''_''i''. Next, a ''n''&minus;1 dimensional MVAR model is fitt ...

...tions in various domains in machine learning, including [[natural language processing]] tasks such as [[text summarization]] and [[conversational agents]], [[com ...from Trajectory Preference Queries |journal=Advances in Neural Information Processing Systems |date=2012 |volume=25 |url=https://papers.nips.cc/paper_files/paper ...