Advanced Digital Signal Processing and Noise Reduction
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Form:Einzelkauf Download
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Sprache:Englisch
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Verlag:John Wiley & Sons
- Wiley 84,99 €
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112,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
23.12.2008
Verlag
John Wiley & SonsSeitenzahl
544 (Printausgabe)
Dateigröße
19620 KB
Auflage
4. Auflage
Sprache
Englisch
EAN
9780470740163
Digital signal processing plays a central role in the development
of modern communication and information processing systems. The
theory and application of signal processing is concerned with the
identification, modelling and utilisation of patterns and
structures in a signal process. The observation signals are often
distorted, incomplete and noisy and therefore noise reduction, the
removal of channel distortion, and replacement of lost samples are
important parts of a signal processing system.
The fourth edition of Advanced Digital Signal Processing and
Noise Reduction updates and extends the chapters in the
previous edition and includes two new chapters on MIMO systems,
Correlation and Eigen analysis and independent component analysis.
The wide range of topics covered in this book include Wiener
filters, echo cancellation, channel equalisation, spectral
estimation, detection and removal of impulsive and transient noise,
interpolation of missing data segments, speech enhancement and
noise/interference in mobile communication environments. This book
provides a coherent and structured presentation of the theory and
applications of statistical signal processing and noise reduction
methods.
* Two new chapters on MIMO systems, correlation and Eigen analysis
and independent component analysis
* Comprehensive coverage of advanced digital signal processing and
noise reduction methods for communication and information
processing systems
* Examples and applications in signal and information extraction
from noisy data
* Comprehensive but accessible coverage of signal processing
theory including probability models, Bayesian inference, hidden
Markov models, adaptive filters and Linear prediction models
Advanced Digital Signal Processing and Noise Reduction is
an invaluable text for postgraduates, senior undergraduates and
researchers in the fields of digital signal processing,
telecommunications and statistical data analysis. It will also be
of interest to professional engineers in telecommunications and
audio and signal processing industries and network planners and
implementers in mobile and wireless communication communities.
of modern communication and information processing systems. The
theory and application of signal processing is concerned with the
identification, modelling and utilisation of patterns and
structures in a signal process. The observation signals are often
distorted, incomplete and noisy and therefore noise reduction, the
removal of channel distortion, and replacement of lost samples are
important parts of a signal processing system.
The fourth edition of Advanced Digital Signal Processing and
Noise Reduction updates and extends the chapters in the
previous edition and includes two new chapters on MIMO systems,
Correlation and Eigen analysis and independent component analysis.
The wide range of topics covered in this book include Wiener
filters, echo cancellation, channel equalisation, spectral
estimation, detection and removal of impulsive and transient noise,
interpolation of missing data segments, speech enhancement and
noise/interference in mobile communication environments. This book
provides a coherent and structured presentation of the theory and
applications of statistical signal processing and noise reduction
methods.
* Two new chapters on MIMO systems, correlation and Eigen analysis
and independent component analysis
* Comprehensive coverage of advanced digital signal processing and
noise reduction methods for communication and information
processing systems
* Examples and applications in signal and information extraction
from noisy data
* Comprehensive but accessible coverage of signal processing
theory including probability models, Bayesian inference, hidden
Markov models, adaptive filters and Linear prediction models
Advanced Digital Signal Processing and Noise Reduction is
an invaluable text for postgraduates, senior undergraduates and
researchers in the fields of digital signal processing,
telecommunications and statistical data analysis. It will also be
of interest to professional engineers in telecommunications and
audio and signal processing industries and network planners and
implementers in mobile and wireless communication communities.
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