Advances in intelligent signal processing and data mining : theory and applications
著者
書誌事項
Advances in intelligent signal processing and data mining : theory and applications
（Studies in computational intelligence, v. 410）
Springer, c2013
大学図書館所蔵 全1件
注記
Includes bibliographical references and index
内容説明・目次
内容説明
The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis.
The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms.
目次
From the content: Introduction to Intelligent Signal Processing and Data Mining.- Monte Carlo-Based Bayesian Group Object Tracking and Causal Reasoning.- A Sequential Monte Carlo Method for Multi-Target Tracking with the Intensity Filter.- Sequential Monte Carlo Methods for
Localisation inWireless Networks.- A Sequential Monte Carlo Approach for Brain Source Localization.
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