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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Vydané v:	Digital Signal Processing with Kernel Methods s. 97 - 164
Hlavní autori:	Rojo-Álvarez, José Luis, Martínez-Ramón, Manel, Muñoz-Mar&iacute, Jordi, Camps-Valls, Gustau
Médium:	Kapitola
Jazyk:	English
Vydavateľské údaje:	Chichester, UK Wiley 2018 John Wiley & Sons, Ltd
Vydanie:	1
Edícia:	Wiley - IEEE
Predmet:	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
On-line prístup:	Získať plný text
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