Signal Processing Models

This chapter conveys the ideas from digital signal processing (DSP) to be clearly kept in mind when working on kernel‐based signal processing algorithms. It presents the basic concepts of signal Hilbert spaces, noise, and optimization. The chapter provides a brief overview of vector space...

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Bibliographic Details

Published in:	Digital Signal Processing with Kernel Methods pp. 97 - 164
Main Authors:	Rojo-Álvarez, José Luis, Martínez-Ramón, Manel, Muñoz-Mar&iacute, Jordi, Camps-Valls, Gustau
Format:	Book Chapter
Language:	English
Published:	Chichester, UK Wiley 2018 John Wiley & Sons, Ltd
Edition:	1
Series:	Wiley - IEEE
Subjects:	autoregressive exogenous signal model autoregressive moving average model digital signal processing Hilbert spaces kernel functions kernel‐based signal processing algorithms vector spaces Correlation Signal processing algorithms Estimation Signal processing Hilbert space Data models Kernel
ISBN:	9781118611791, 1118611799
Online Access:	Get full text
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