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- {{Short description|Signal processing method}} ...arrival]] estimations.<ref>Volodymyr Vasylyshyn. The direction of arrival estimation using ESPRIT with sparse arrays.// Proc. 2009 European Radar Conference (Eu ...17 KB (2,613 words) - 15:38, 19 February 2025
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- '''Maximum likelihood sequence estimation''' ('''MLSE''') is a [[mathematical algorithm]] that extracts useful data f ...me response with the actual received signal and determines the most likely signal. ...5 KB (669 words) - 19:04, 19 July 2024
- {{Short description|A theoretical bound used in estimation theory}} ...stimation theory]] which provides a lower bound on the estimation error of estimation some random parameter <math> X </math> from a noisy observation <math> Y </ ...5 KB (723 words) - 09:07, 24 February 2025
- ...eneralizes the same idea beyond the domain of one-dimensional time-ordered signal processing, with two-dimensional [[image processing]] being the most common ...uted]] signal and noise, this estimator is also the [[Maximum a posteriori estimation|maximum a posteriori estimator]]. ...4 KB (605 words) - 19:42, 27 April 2020
- {{Short description|Map of radio signal strength in an area}} ...ps''. Signal strength maps provide a metric that quantifies the [[Received signal strength indicator|received power]] at each location. In turn, propagation ...8 KB (1,127 words) - 11:03, 9 February 2025
- ...ability″ because the probability exists with a pair of signal vectors in a signal constellation.<ref name=Book1>{{cite book|last=Stüber|first=Gordon L.|title ...e probability <math>P(e)</math> that the [[demodulator]] will make a wrong estimation <math>(\widehat{X})</math> of the transmitted symbol <math>(X)</math> based ...4 KB (559 words) - 09:29, 13 February 2024
- ...at the presence of these nuisance parameters does not affect efficiency of estimation. | title = Efficient and adaptive estimation for semiparametric models ...3 KB (416 words) - 04:01, 31 July 2024
- ...he computational complexity of TI-HBM for probability evaluation and state estimation is <math>O(NL)</math> (instead of <math>O(N^2L)</math> in the HMM case, whe ...tigation of state transition regime in switching-state acoustic models," ''Signal Processing'', vol. 89, no. 4, pp. 662–668, April 2009. ...2 KB (248 words) - 04:03, 1 February 2024
- ...e series analysis]] and [[signal processing]] for parameter estimation and signal detection. ...n; a tribute to Peter Whittle|chapter=The Whittle likelihood and frequency estimation|publisher=Wiley|place=Chichester|year=1994}}</ref><ref>{{Citation|last1=Paw ...10 KB (1,464 words) - 09:35, 25 November 2024
- {{Short description|Underwater acoustic signal processing}} {{about|underwater acoustic signal processing|other uses|Sonar}} ...9 KB (1,443 words) - 21:15, 28 May 2024
- ...tion of [[spectral estimation]], normally formulated for one-dimensional [[signal]]s, to multidimensional signals or [[multivariate data]], such as [[wave ve Multidimensional spectral estimation has gained popularity because of its application in fields like medicine, a ...14 KB (2,185 words) - 07:09, 12 July 2024
- ...translate the received [[radio frequency]] (RF, or [[Passband|pass-band]]) signal directly from the [[Carrier wave|carrier frequency]] <math>f_c</math> to [[ .../math> and a copy delayed by 90°. These are individually mixed with the RF signal, producing what are known respectively as the [[In-phase and quadrature com ...15 KB (2,318 words) - 01:45, 27 February 2024
- ...ct a [[sparse vector]] from a smaller number of measurements, provided the signal can be represented in sparse [[Domain (mathematical analysis)|domain]]. "Sp ...<math>{\it N}</math> (where <math>{M \ll N}</math>) are non-zero, then the signal is said to be sparse in that domain. ...8 KB (1,113 words) - 08:27, 13 August 2024
- ...ver does not synchronize with the carrier signal contained in the received signal. This phenomenon can be attributed to two important factors: frequency mis ...gnal that is synchronous with the carrier signal contained in the received signal. Otherwise, mismatch in [[carrier frequency]] can result in inter-carrier i ...15 KB (2,283 words) - 04:23, 26 July 2024
- ...]] (1959). ''Optimum nonlinear systems which bring about a separation of a signal with constant parameters from noise''. Radiofizika, 2:6, pp. 892&ndash The term <math>dz - E_t h(x,t) dt</math> is the [[innovation (signal processing)|innovation]], i.e. the difference between the measurement and i ...4 KB (705 words) - 23:17, 23 August 2024
- {{Short description|Signal processing method}} ...arrival]] estimations.<ref>Volodymyr Vasylyshyn. The direction of arrival estimation using ESPRIT with sparse arrays.// Proc. 2009 European Radar Conference (Eu ...17 KB (2,613 words) - 15:38, 19 February 2025
- ...EEE Consumer Communications and Networking Conference | chapter=Multi-User Signal Classification via Spectral Correlation |isbn = 978-1-4244-5175-3| s2cid=17 == Estimation methods == ...9 KB (1,330 words) - 05:49, 19 May 2024
- ...Conf. Acoustics, Speech and Signal Processing, pp.401-404, Apr.1979</ref> signal extrapolation<ref name="FIN_SIGN_EXTR">A. Papoulis, “A new algorithm in spe In general, the multidimensional signal restoration problem can be represented by an equation of the form,<ref name ...14 KB (2,215 words) - 02:39, 15 March 2024
- ...1=Gardner |first1=William A |title=Cyclostationarity In Communications and Signal Processing |date=1994 |publisher=IEEE Press |isbn=9780780310230}}</ref> Tre ...represent the periodic part as sinusoid functions. The [[spectral density estimation]] is one of the methods used for this purpose. The decomposed function of t ...7 KB (958 words) - 01:48, 23 December 2024
- ...ef>{{cite book |author=Don H. Johnson |author2=Dan E. Dudgeon |title=Array Signal Processing: Concepts and Techniques |date=1993 |publisher=Prentice Hall |is ...d by a subindex <math>m \in \{1,\dots,M\}</math>. The discrete-time output signal from a microphone is <math>s_m (n)</math>. The (unweighted) steered-respons ...9 KB (1,368 words) - 17:48, 20 October 2023
- In [[statistics]] and [[signal processing]], the '''orthogonality principle''' is a [[necessary and suffic The orthogonality principle is most commonly used in the setting of linear estimation.<ref>Kay, p.386</ref> In this context, let ''x'' be an unknown [[random vec ...9 KB (1,433 words) - 23:35, 27 May 2022