Advanced Digital Signal Processing and Noise Reduction (eBook, PDF)
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Signal processing plays an increasingly central role in thedevelopment of modern telecommunication and information processingsystems, with a wide range of applications in areas such asmultimedia technology, audio-visual signal processing, cellularmobile communication, radar systems and financial data forecasting.The theory and application of signal processing deals with theidentification, modelling and utilisation of patterns andstructures in a signal process. The observation signals are oftendistorted, incomplete and noisy and hence, noise reduction and theremoval of channel distortion is an ...
Signal processing plays an increasingly central role in thedevelopment of modern telecommunication and information processingsystems, with a wide range of applications in areas such asmultimedia technology, audio-visual signal processing, cellularmobile communication, radar systems and financial data forecasting.The theory and application of signal processing deals with theidentification, modelling and utilisation of patterns andstructures in a signal process. The observation signals are oftendistorted, incomplete and noisy and hence, noise reduction and theremoval of channel distortion is an important part of a signalprocessing system. Advanced Digital Signal Processing and Noise Reduction, ThirdEdition, provides a fully updated and structured presentation ofthe theory and applications of statistical signal processing andnoise reduction methods. Noise is the eternal bane ofcommunications engineers, who are always striving to find new waysto improve the signal-to-noise ratio in communications systems andthis resource will help them with this task. * Features two new chapters on Noise, Distortion and Diversity inMobile Environments and Noise Reduction Methods for SpeechEnhancement over Noisy Mobile Devices. * Topics discussed include: probability theory, Bayesian estimationand classification, hidden Markov models, adaptive filters,multi-band linear prediction, spectral estimation, and impulsiveand transient noise removal. * Explores practical solutions to interpolation of missing signals,echo cancellation, impulsive and transient noise removal, channelequalisation, HMM-based signal and noise decomposition. This is an invaluable text for senior undergraduates, postgraduatesand researchers in the fields of digital signal processing,telecommunications and statistical data analysis. It will alsoappeal to engineers in telecommunications and audio and signalprocessing industries.
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