Advanced Digital Signal Processing and Noise Reduction
Saeed V. Vaseghi
Synopsis "Advanced Digital Signal Processing and Noise Reduction "
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 analysisComprehensive coverage of advanced digital signal processing andnoise reduction methods for communication and informationprocessing systemsExamples and applications in signal and information extractionfrom noisy dataComprehensive but accessible coverage of signal processingtheory including probability models, Bayesian inference, hiddenMarkov models, adaptive filters and Linear prediction modelsAdvanced 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.
