Advanced Digital Signal Processing and Noise Reduction.pdf

Advanced Digital Signal Processing and Noise Reduction PDF

Saeed V. Vaseghi

Digital signal processing plays a central role in the developmentof modern communication and information processing systems. Thetheory and application of signal processing is concerned with theidentification, modelling and utilisation of patterns andstructures in a signal process. The observation signals are oftendistorted, incomplete and noisy and therefore noise reduction, theremoval of channel distortion, and replacement of lost samples areimportant parts of a signal processing system.

The fourth edition of Advanced Digital Signal Processing andNoise Reduction updates and extends the chapters in theprevious 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 Wienerfilters, echo cancellation, channel equalisation, spectralestimation, detection and removal of impulsive and transient noise,interpolation of missing data segments, speech enhancement andnoise/interference in mobile communication environments. This bookprovides a coherent and structured presentation of the theory andapplications of statistical signal processing and noise reductionmethods.
* Two new chapters on MIMO systems, correlation and Eigen analysisand independent component analysis
* Comprehensive coverage of advanced digital signal processing andnoise reduction methods for communication and informationprocessing systems
* Examples and applications in signal and information extractionfrom noisy data
* Comprehensive but accessible coverage of signal processingtheory including probability models, Bayesian inference, hiddenMarkov models, adaptive filters and Linear prediction models

Advanced Digital Signal Processing and Noise Reduction isan invaluable text for postgraduates, senior undergraduates andresearchers in the fields of digital signal processing,telecommunications and statistical data analysis. It will also beof interest to professional engineers in telecommunications andaudio and signal processing industries and network planners andimplementers in mobile and wireless communication communities.

Advanced digital signal processing techniques for compensation of nonlinear distortion in ... or multichannel receivers using adaptive interference cancellation. Simply stated, digital noise reduction (DNR) schemes are intended to reduce ... By the mid-1990s, hearing aids with digital signal processing were marketed in the ... Levitt H, Bakke M, Kates J, Neuman A, Weiss M. Advanced signal processing ...

3.17 MB DATEIGRÖSSE
9780470740163 ISBN
Englisch SPRACHE
Advanced Digital Signal Processing and Noise Reduction.pdf

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Sofia Voigt

Dec 23, 2008 ... Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory ... Download Citation | Advanced Digital Signal Processing and Noise Reduction | Digital signal processing plays a central role in the development of modern ...

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Matteo Müller

1 Advanced Digital Signal Processing Abdellatif Zaidi† Department of Electrical Engineering University of Notre Dame [email protected] Outline: 1. Introduction Advanced Digital Signal Processing and Noise …

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Noel Schulze

Background noise is particularly damaging to speech intelligibility for people with ... from relatively simple forms of filtering to advanced signal processing methods. ... Key words: adaptive noise cancellation, digital signal processing, directional ...

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Jason Lehmann

Modification of the signal (filtering, interpolation, noise reduction, Advanced Digital Signal Processing | Introduction Slide I-10 Why has digital signal processing become so popular? Introduction Advantages and disadvantages of digital processing compared to analog processing: Property Digital processing Analog processing Dynamics Only limited by complexity Generally limited Precision Advanced Digital Signal Processing and Noise …

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Jessica Kohmann

Since the publication of the first edition of this book in 1996, digital signal processing (DSP) in general and noise reduction in particular, have become even more central to the research and development of efficient, adaptive and intelligent mobile communication and information processing systems. The third edition of this book has been Advanced Digital Signal Processing And Noise …