Dual Signal Models for Signal Processing

This chapter provides discuss on a third set of signal processing algorithms with kernels is introduced: the so‐called dual signal model. In addition, it provides empirical evidence of the performance of these dual‐form signal processing models via dedicated tutorials and real&...

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Bibliographic Details
Published in:Digital Signal Processing with Kernel Methods pp. 281 - 332
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:
dual signal models
electrophysiology studies
indoor location
Mercer kernels
received signal strength
signal processing algorithms
wireless mobile devices
Support vector machines
Interpolation
Correlation
Deconvolution
Signal processing algorithms
Mathematical model
Kernel
ISBN:9781118611791, 1118611799
Online Access:Get full text
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Summary:This chapter provides discuss on a third set of signal processing algorithms with kernels is introduced: the so‐called dual signal model. In addition, it provides empirical evidence of the performance of these dual‐form signal processing models via dedicated tutorials and real‐life examples. Several Mercer kernels that are spectrally adapted to the signal to be interpolated. In recent years, a great number of location‐dependent computer services have been proposed using wireless mobile devices. For cost‐effective systems, one of the most common approaches to provide indoor location is to use the received signal strength (RSS) measured by 802.11 devices to estimate the user location. In the cardiac arrhythmia treatment, the knowledge of the arrhythmia mechanisms is decisive for the application of a successful therapy. Among the current treatments, the cardiac ablation in electrophysiology (EP) studies is one of the most effective for some kind of arrhythmia, such as ventricular or supraventricular tachycardia.
ISBN:9781118611791
1118611799
DOI:10.1002/9781118705810.ch7