Digital Signal Processing with Kernel Methods / (Record no. 6594)

MARC details
000 -LEADER
fixed length control field 02299 a2200241 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251014151241.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241202b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781118611791
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.3822
Item number RojD
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Rojo-Alvarez, Jose Luis
245 ## - TITLE STATEMENT
Title Digital Signal Processing with Kernel Methods /
Statement of responsibility, etc J Rojo-Alvarez
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher Wiley :
Place of publication Hoboken,
Year of publication ©2018.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xxvi, 639p.
520 ## - SUMMARY, ETC.
Summary, etc A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to communications, multimedia, and biomedical engineering systems<br/><br/>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.<br/><br/>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: http://github.com/DSPKM<br/><br/>• Presents the necessary basic ideas from both digital signal processing and machine learning concepts<br/>• Reviews the state-of-the-art in SVM algorithms for classification and detection problems in the context of signal processing<br/>• Surveys advances in kernel signal processing beyond SVM algorithms to present other highly relevant kernel methods for digital signal processing<br/><br/>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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Signal processing
General subdivision Digital techniques
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Anomaly detection
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Machine learning
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Martínez-Ramon, Manel
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Munnoz Marí, Jordi
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Camps-Valls, Gustavo
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Collection code Home library Current library Shelving location Date acquired Source of acquisition Purchase Price Bill number Full call number Accession Number Copy number Print Price Bill Date/Price effective from Koha item type
      Electrical Indian Institute of Technology Tirupati Indian Institute of Technology Tirupati General Stacks 14/10/2025 Creative Books 8590.55 CB/25128 621.3822 RojD (11687) 11687 Copy 01 12272.22 14/10/2025 Books