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eBay-Artikelnr.:395157028193
Artikelmerkmale
- Artikelzustand
- ISBN-13
- 9780792371090
- Book Title
- Real-Time Adaptive Concepts in Acoustics
- ISBN
- 9780792371090
- Subject Area
- Technology & Engineering, Science
- Publication Name
- Real-Time Adaptive Concepts in Acoustics : Blind Signal Separation and Multichannel Echo Cancellation
- Publisher
- Springer Netherlands
- Item Length
- 9.3 in
- Subject
- Signals & Signal Processing, Telecommunications, Acoustics & Sound
- Publication Year
- 2001
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Weight
- 16 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xii, 160 Pages
Über dieses Produkt
Product Identifiers
Publisher
Springer Netherlands
ISBN-10
0792371097
ISBN-13
9780792371090
eBay Product ID (ePID)
1980289
Product Key Features
Number of Pages
Xii, 160 Pages
Publication Name
Real-Time Adaptive Concepts in Acoustics : Blind Signal Separation and Multichannel Echo Cancellation
Language
English
Subject
Signals & Signal Processing, Telecommunications, Acoustics & Sound
Publication Year
2001
Type
Textbook
Subject Area
Technology & Engineering, Science
Format
Hardcover
Dimensions
Item Weight
16 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2001-038288
Dewey Edition
21
Reviews
'This book is clearly written and well organized. The author has spent considerable effort to present material in a clear and concise manner. This can be recommended for readers who are interested in a quick overview of basic concepts and acoustic application of blind signal separation and echo cancellation, and for the readers who are familiar with these applications, but who want to understand and use new algorithms that have been presented in the book.' The Journal of the Acoustical Society of America, August (2002)
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
621.382/2
Table Of Content
Background and Introduction.- 1. Introduction.- 2. Array Processing Techniques.- 3. Efficient Filtering Using FFTS.- Acoustic Echo Cancellation.- 4. An Efficient Adaptive Filter Implementation.- 5. Efficient Multichannel RLS.- Blind Signal Separation.- 6. Blind Signal Separation, An Overview.- 7. A Blind Signal Separation Algorithm.- 8. Joint Blind Signal Separation And Echo Cancellation.- 9. Blind Signal Separation Algorithm Evaluation.- 10. Conclusions.- Appendices.- A. Efficient Beamforming.- A.1 Introduction.- A.2 Linear Sensor Array Beamforming.- A.3 Interpolation Beamforming.- A.4 Polyphase Decomposition.- A.5 Comparison of Computational Complexity.- A.6 Example of Computational Complexity.- A.7 Conclusions.- B. Indeterminacies of Convolutive BSS based on Decorrelation.- B.1 Convolutive BSS Indeterminacies.- B.2 Rank of the Source Correlation Matrix.- B.3 Real World Data Considerations.- C. Computational Complexity of CoBliSS.- C.1 Fast Fourier Transforms.- C.2 Correlation Update.- C.3 Weight Update.- C.4 Filtering.- C.5 Normalization.- D. Efficient computation of windowed FFTs.- D.1 Efficient Computation of Windowed (I) FFTs.- D.2 Efficient Recursive FFTS of Overlapping Data.- of the Compact Disc.- References.
Synopsis
Blind Signal Separation (BSS) deals with recovering (filtered versions of) source signals from an observed mixture thereof. The term 'blind' relates to the fact that there are no reference signals for the source signals and also that the mixing system is unknown. This book presents a new method for blind signal separation, which is developed to work on microphone signals. Acoustic Echo Cancellation (AEC) is a well-known technique to suppress the echo that a microphone picks up from a loudspeaker in the same room. Such acoustic feedback occurs for example in hands-free telephony and can lead to a perceived loud tone. For an application such as a voice-controlled television, a stereo AEC is required to suppress the contribution of the stereo loudspeaker setup. A generalized AEC is presented that is suited for multi-channel operation. New algorithms for Blind Signal Separation and multi-channel Acoustic Echo Cancellation are presented. A background is given in array signal processing methods, adaptive filter theory, and fast filtering in the frequency domain. The included CD-ROM can be played using any compact disc player to play the simulation results that are described in the text. When inserted into a computer, it furthermore gives Matlab implementations of the new algorithms along with audio data with which to experiment. This makes the book suited to researchers, engineers, and university students, who want to get acquainted with these emerging fields., Blind Signal Separation (BSS) deals with recovering (filtered versions of) source signals from an observed mixture thereof. The term blind' relates to the fact that there are no reference signals for the source signals and also that the mixing system is unknown. This book presents a new method for blind signal separation, which is developed to work on microphone signals. Acoustic Echo Cancellation (AEC) is a well-known technique to suppress the echo that a microphone picks up from a loudspeaker in the same room. Such acoustic feedback occurs for example in hands-free telephony and can lead to a perceived loud tone. For an application such as a voice-controlled television, a stereo AEC is required to suppress the contribution of the stereo loudspeaker setup. A generalized AEC is presented that is suited for multi-channel operation. New algorithms for Blind Signal Separation and multi-channel Acoustic Echo Cancellation are presented. A background is given in array signal processing methods, adaptive filter theory, and fast filtering in the frequency domain. The included CD-ROM can be played using any compact disc player to play the simulation results that are described in the text. When inserted into a computer, it furthermore gives Matlab implementations of the new algorithms along with audio data with which to experiment. This makes the book suited to researchers, engineers, and university students, who want to get acquainted with these emerging fields.
LC Classification Number
QC221-246
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