Signal Processing and Machine Learning with Applications
Authors: Richter, Michael M., Paul, Sheuli
- Signal processing results in data sets with relations of varying, probabilistic strength, and engineers use learning algorithms to determine these probabilities
- Valuable for advanced undergraduate and graduate students of computer science and engineering
- Real applications examined include speech processing and biomedical signal processing
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- About this Textbook
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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.
- About the authors
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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 University of Kaiserslautern, where he was also the founding scientific director of the DFKI (German Research Center for Artificial Intelligence). He is currently an adjunct professor at the University of Calgary. He has taught, researched, and published extensively in the areas of mathematical logic and artificial intelligence. Prof. Richter is one of the pioneers of case-based reasoning: he founded the leading European event on the subject, he led many of the key academic research projects, and he demonstrated the real-world viability of the approach with successful commercial products.
Dr. Sheuli Paul completed her PhD on a dynamic automatic noisy speech recognition system in Kaiserslautern. Her interests include speech recognition and signal processing.
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Signal Processing and Machine Learning with Applications
- Authors
-
- Michael M. Richter
- Sheuli Paul
- Copyright
- 2021
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-319-45372-9
- Hardcover ISBN
- 978-3-319-45371-2
- Edition Number
- 1
- Topics
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