Signal Processing And Machine Learning With Applications by Michael M. RichterSignal Processing And Machine Learning With Applications by Michael M. Richter

Signal Processing And Machine Learning With Applications

byMichael M. Richter, Sheuli Paul

Hardcover | May 14, 2019

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The authors offer a comprehensive guide to machine learning applied to signal processing and recognition problems, and then discuss real applications in domains such as speech processing and biomedical signal processing, with a focus on handling noise. This textbook is intended for advanced undergraduate and graduate students of computer science and engineering.

Prof. Michael M. Richter completed his PhD on mathematical logic at the University of Freiburg, and his Habilitation in mathematics at the University of Tübingen. He taught at the University of Texas at Austin and at RWTH Aachen, in addition to numerous visiting professorships. Most recently he held a chair in computer science at the U...
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Title:Signal Processing And Machine Learning With ApplicationsFormat:HardcoverPublished:May 14, 2019Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319453718

ISBN - 13:9783319453712

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Table of Contents

Introduction.- Signal Processing Background.- Digital Filters.- Adaptive Filters.- Spectral Analysis.- General Learning.- Stochastic Processes.- Feature Extractions.- Probability for Signal Processing.- Machine Learning for Signal Processing.- Unsupervised Learning.- Markov Model and Hidden Stochastic Model (HSM).- Fuzzy Logic and Rough Sets.- Neural Networks.- Reasoning Methods and Noise Removal.- Audio Signals and Speech Recognition.- Aspects of Human Hearing.- Speech Processing.- Biomedical Signal Processing.