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VDM Verlag Advanced component analysis techniques for signal decomposition: With applications to audio restoration and volcanic seismology

Name: Advanced component analysis techniques for signal decomposition: With applications to audio restoration and volcanic seismology
Brand: VDM Verlag
Price: 54.0 GBP
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Computing & Internet

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Description

This work investigates one of the most attractive research areas of blind signal decomposition, performed with very little a priori knowledge about the mixing model or sources characteristics, with the only knowledge of the observed mixed signal. Blind Source Separation (BSS) is a method to separate a target signal from mixtures by means of some modern statistical component analysis techniques, like Independent Component Analysis (ICA), Sparse Code (SC) and Non-negative Matrix Factorization (NMF) which differentiate each other for the imposed mathematical assumptions (or constraints). The goal of this work is to develop signal decomposition applications based on the BSS approach, in single-channel strategy, like the audio restoration of 78 rpm gramophone discs or in multi-channel strategy, like the estimation of the original source waveforms from a seismometer array near an active volcano. Although the BSS approach realizes the powerful task of signal decomposition and features extraction, considerable work is needed to model and implement the complete framework.

Product Specifications

Brand: VDM Verlag
Format: paperback
ASIN: 3639873149
Category: Books > Subjects > Computing & Internet
Domain: Amazon UK
Publication Date: 05 February 2014
Listed Since: 05 February 2014

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