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Digital Signal Processing with Kernel Methods (Hardcover)
Loot Price: R3,436
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Digital Signal Processing with Kernel Methods (Hardcover)
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A realistic and comprehensive review of joint approaches to machine
learning and signal processing algorithms, with application to
communications, multimedia, and biomedical engineering systems
Digital Signal Processing with Kernel Methods reviews the
milestones in the mixing of classical digital signal processing
models and advanced kernel machines statistical learning tools. It
explains the fundamental concepts from both fields of machine
learning and signal processing so that readers can quickly get up
to speed in order to begin developing the concepts and application
software in their own research. Digital Signal Processing with
Kernel Methods provides a comprehensive overview of kernel methods
in signal processing, without restriction to any application field.
It also offers example applications and detailed benchmarking
experiments with real and synthetic datasets throughout. Readers
can find further worked examples with Matlab source code on a
website developed by the authors. * Presents the necessary basic
ideas from both digital signal processing and machine learning
concepts * Reviews the state-of-the-art in SVM algorithms for
classification and detection problems in the context of signal
processing * Surveys advances in kernel signal processing beyond
SVM algorithms to present other highly relevant kernel methods for
digital signal processing An excellent book for signal processing
researchers and practitioners, Digital Signal Processing with
Kernel Methods will also appeal to those involved in machine
learning and pattern recognition.
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