Price: $139.95 - $104.25
(as of Dec 11, 2024 16:21:47 UTC – Details)
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.
From the brand
IEEE, the world’s largest technical professional organization, partners with Wiley to bring to you high-quality books and reference works in electrical engineering and computer science.
Written by leading experts, the books are authoritative and cutting-edge and cover in-demand topics in these important areas of research.
Learn More
Learn More
ASIN : 1118611799
Publisher : Wiley-IEEE Press; 1st edition (February 5, 2018)
Language : English
Hardcover : 672 pages
ISBN-10 : 9781118611791
ISBN-13 : 978-1118611791
Item Weight : 2.18 pounds
Dimensions : 6.95 x 1.5 x 9.7 inches
