maximum likelihood sequence detection

maximum likelihood sequence detection
Техника: последовательное обнаружение по методу максимального правдоподобия

Универсальный англо-русский словарь. . 2011.

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  • Maximum likelihood sequence estimation — (MLSE) is a mathematical algorithm to extract useful data out of a noisy data stream. Contents 1 Theory 2 Background 3 References 4 Further reading …   Wikipedia

  • Maximum likelihood — In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of a statistical model. When applied to a data set and given a statistical model, maximum likelihood estimation provides estimates for the model s… …   Wikipedia

  • Sequence alignment — In bioinformatics, a sequence alignment is a way of arranging the sequences of DNA, RNA, or protein to identify regions of similarity that may be a consequence of functional, structural, or evolutionary relationships between the sequences.[1]… …   Wikipedia

  • Continuous phase modulation — Passband modulation v · d · e Analog modulation AM · …   Wikipedia

  • List of phylogenetics software — This list of phylogenetics software is a compilation of computational phylogenetics software used to produce phylogenetic trees. Such tools are commonly used in comparative genomics, cladistics, and bioinformatics. Methods for estimating… …   Wikipedia

  • List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… …   Wikipedia

  • Structural alignment — is a form of sequence alignment based on comparison of shape. These alignments attempt to establish equivalences between two or more polymer structures based on their shape and three dimensional conformation. This process is usually applied to… …   Wikipedia

  • Robust statistics — provides an alternative approach to classical statistical methods. The motivation is to produce estimators that are not unduly affected by small departures from model assumptions. Contents 1 Introduction 2 Examples of robust and non robust… …   Wikipedia

  • Convolutional code — In telecommunication, a convolutional code is a type of error correcting code in which each m bit information symbol (each m bit string) to be encoded is transformed into an n bit symbol, where m/n is the code rate (n ≥ m) and the transformation… …   Wikipedia

  • Bayesian network — A Bayesian network, Bayes network, belief network or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional dependencies via a directed acyclic graph (DAG). For example …   Wikipedia

  • Liste De Problèmes NP-Complets — Ceci est une liste des problèmes NP complets les plus connus en théorie de la complexité des algorithmes, exprimés sous la forme d un problèmes de la décision. Puisqu on connaît plus de 3000 problèmes NP complets, cette liste n est pas exhaustive …   Wikipédia en Français


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