𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Independent Component Analysis for Audio and Biosignal Applications

✍ Scribed by Naik G.R. (Ed.)


Tongue
English
Leaves
354
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


Rijeka: InTeOp, 2012. - 324p.

This book brings the state-of-the-art of some of the most important current research of Independent Component Analysis (ICA) related to Audio and Biomedical signal processing applications.

✦ Subjects


ΠŸΡ€ΠΈΠ±ΠΎΡ€ΠΎΡΡ‚Ρ€ΠΎΠ΅Π½ΠΈΠ΅;ΠžΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° сигналов


πŸ“œ SIMILAR VOLUMES


Independent Component Analysis: Theory a
✍ Te-Won Lee (auth.) πŸ“‚ Library πŸ“… 1998 πŸ› Springer US 🌐 English

<p><em>Independent Component Analysis</em> (ICA) is a signal-processing method to extract independent sources given only observed data that are mixtures of the unknown sources. Recently, blind source separation by ICA has received considerable attention because of its potential signal-processing app

Handbook of Blind Source Separation: Ind
✍ Pierre Comon, Christian Jutten πŸ“‚ Library πŸ“… 2010 πŸ› Academic Press 🌐 English

<p>Edited by the people who were forerunners in creating the field, together with contributions from 34 leading international experts, this handbook provides the definitive reference on Blind Source Separation, giving a broad and comprehensive description of all the core principles and methods, nume

Independent Component Analysis
✍ Aapo Hyvarinen, Juha Karhunen, Erkki Oja πŸ“‚ Library πŸ“… 2001 πŸ› Wiley-Interscience 🌐 English

A comprehensive introduction to ICA for students and practitionersIndependent Component Analysis (ICA) is one of the most exciting new topics in fields such as neural networks, advanced statistics, and signal processing. This is the first book to provide a comprehensive introduction to this new tech

Independent Component Analysis
✍ Aapo HyvΓ€rinen, Juha Karhunen, Erkki Oja πŸ“‚ Library πŸ“… 2001 πŸ› J. Wiley 🌐 English

Hyvarinen and fellow researchers Juhu Karhunen and Erkki Oja (all Helsinki U. of Technology) introduce independent component analysis as a statistical and computational technique for revealing hidden factors that underlie sets of random variables, measurements, or signals. Readers are intended to be

Independent Component Analysis of Edge I
✍ Kailash Jagannath Karande, Sanjay Talbar (auth.) πŸ“‚ Library πŸ“… 2014 πŸ› Springer India 🌐 English

<p>The book presents research work on face recognition using edge information as features for face recognition with ICA algorithms. The independent components are extracted from edge information. These independent components are used with classifiers to match the facial images for recognition purpos