Handbook of Blind Source Separation: Independent Component Analysis and Applications - Image 1

£98.49

Academic Press Handbook of Blind Source Separation: Independent Component Analysis and Applications

Name: Handbook of Blind Source Separation: Independent Component Analysis and Applications
Brand: Academic Press
Price: 98.49 GBP
Availability: InStock

Illustrations

Information Systems

About as cheap as it gets. The only time it was cheaper was 7 months ago.

£98 today · all-time low £95 (Oct 2025) · usually the usual

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 617 days • 617 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 617 days • 5 price levels

Days at Price

Current Price

Price Analysis

Most common price: £96 (278 days, 45.1%)

Price range: £95 - £100

Price levels: 5 different prices over 617 days

Description

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, numerical algorithms and major applications in the fields of telecommunications, biomedical engineering and audio, acoustic and speech processing. Going beyond a machine learning perspective, the book reflects recent results in signal processing and numerical analysis, and includes topics such as optimization criteria, mathematical tools, the design of numerical algorithms, convolutive mixtures, and time frequency approaches. This Handbook is an ideal reference for university researchers, R&D engineers and graduates wishing to learn the core principles, methods, algorithms, and applications of Blind Source Separation. Covers the principles and major techniques and methods in one book Edited by the pioneers in the field with contributions from 34 of the world’s experts Describes the main existing numerical algorithms and gives practical advice on their design Covers the latest cutting edge topics: second order methods; algebraic identification of under-determined mixtures, time-frequency methods, Bayesian approaches, blind identification under non negativity approaches, semi-blind methods for communications Shows the applications of the methods to key application areas such as telecommunications, biomedical engineering, speech, acoustic, audio and music processing, while also giving a general method for developing applications

Key Features

New

Mint Condition

Dispatch same day for order received before 12 noon

Guaranteed packaging

No quibbles returns

Product Specifications

Brand: Academic Press
Model: Illustrations
Format: hardcover
ASIN: 0123747260
Category: Books > Subjects > Computing & Internet > Computer Science > Information Systems
Domain: Amazon UK
Release Date: 12 July 2009
Listed Since: 14 July 2009

Barcode

No barcode data available

Academic Press Handbook of Blind Source Separation: Independent Component Analysis and Applications

About as cheap as it gets. The only time it was cheaper was 7 months ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Multimedia Signal Processing: Theory and Applications in Speech, Music and Communications

Blind Source Separation: Advances in Theory, Algorithms and Applications (Signals and Communication Technology)

Source Separation and Machine Learning

Advances in Signal Processing and Intelligent Recognition Systems: 264 (Advances in Intelligent Systems and Computing, 264)

Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)

Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)

Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing

Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics

Academic Press' Library in Signal Processing: Signal Processing Theory and Machine Learning, Communications and Radar Signal Processing, Array and ... Audio, Acoustic and Speech Processing

Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing

Audio Source Separation and Speech Enhancement

Signal Processing: Signals, Filtering, and Detection

Wiley-IEEE Press Model-Based Signal Processing Book

Handbook on Array Processing and Sensor Networks: 60 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)

Adaptive Signal Processing: Next Generation Solutions: 55 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)

Proceedings of the 8th Conference on Sound and Music Technology: Selected Papers from CSMT: 761 (Lecture Notes in Electrical Engineering, 761)

Signal Processing for Intelligent Sensor Systems with MATLAB (Signal Processing and Communications)

Handbook of Formulas and Tables for Signal Processing (Electrical Engineering Handbook)

Real-Time Digital Signal Processing: Fundamentals, Implementations and Applications

Algorithm Collections for Digital Signal Processing Applications Using Matlab

SIGNAL PROCESSING NEW RESEARCH (Engineering Tools, Techniques and Tables)

Audio Source Separation (Signals and Communication Technology)

Signal Processing for Intelligent Sensor Systems with MATLAB®

Machine Learning Methods for Signal, Image and Speech Processing (River Publishers Series in Signal, Image and Speech Processing)