A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to communications, multimedia, a

"This book presents an extensive introduction to the field of kernel methods and real world applications. The book is organized in four parts: the first is an i

Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard

As demand for applications working in extended frequency ranges increases, classical Digital signal processing (DSP) techniques, not protected against aliasing,