Advanced component analysis techniques for signal decomposition

Name: Advanced component analysis techniques for signal decomposition
Brand: Edizioni Accademiche Italiane
SKU: 9783639873146
Price: 310.92 RON
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With applications to audio restoration and volcanic seismology

Autor: Giuseppe Cabras

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Editura: Edizioni Accademiche Italiane

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This work investigates one of the most attractive research areas of blind signal decomposition, perf...

Informații despre carte

Autor

Giuseppe Cabras

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2014

Pagini

176

EAN

9783639873146

Enbook ID

02463231

Editura

Edizioni Accademiche Italiane

Greutate

280

Dimensiuni

150 x 220 x 11

Descriere completă

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.

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Advanced component analysis techniques for signal decomposition

With applications to audio restoration and volcanic seismology

Informații despre carte

Descriere completă

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