Description |
1 online resource |
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data file rda |
Bibliography |
Includes bibliographical references and index. |
Contents |
From signal processing to machine learning -- Introduction to digital signal processing -- Signal processing models -- Kernel functions and reproducing kernel hilbert spaces -- A SVM signal estimation framework -- Reproducing kernel hilbert space models for signal processing -- Dual signal models for signal processing -- Advances in kernel regression and function approximation -- Adaptive kernel learning for signal processing -- SVM and kernel classification algorithms -- Clustering and anomaly detection with kernels -- Kernel feature extraction in signal processing. |
Summary |
Offering example applications and detailed benchmarking experiments with real and synthetic datasets throughout, this book provides a comprehensive overview of kernel methods in signal processing, without restriction to any application field. -- Edited summary from book. |
Subject |
Signal processing -- Digital techniques.
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Traitement du signal -- Techniques numériques. |
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Signal processing -- Digital techniques |
Added Author |
Martínez-Ramón, Manel, 1968- author.
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Muñoz Marí, Jordi, author.
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Camps-Valls, Gustavo, 1972- author.
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Other Form: |
Print version: Rojo-Álvarez, José Luis, 1972- Digital signal processing with kernel methods. First edition. Hoboken, NJ : John Wiley & Sons, 2017 9781118611791 (DLC) 2017033418 |
ISBN |
9781118705834 (epub) |
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1118705831 |
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9781118705827 (pdf) |
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1118705823 |
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9781118705810 (electronic bk. ; oBook) |
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1118705815 (electronic bk. ; oBook) |
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9781118705841 (Mobipocket ebook) |
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111870584X (Mobipocket ebook) |
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(cloth) |
Standard No. |
10.1002/9781118705810 doi |
Music No. |
EB00720609 Recorded Books |
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