{"product_id":"advanced-digital-signal-processing-and-noise-reduction-hardback-9780470754061","title":"Advanced Digital Signal Processing and Noise Reduction (Hardback) 9780470754061","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eAdvanced Digital Signal Processing and Noise Reduction\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eSaeed V. Vaseghi (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780470754061, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 23 January 2009\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e544 pages\u003cbr\u003e25.2 x 17.6 x 3.4 cm, 1.106 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eDigital 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.  \u003cp\u003eThe fourth edition of \u003ci\u003eAdvanced Digital Signal Processing and Noise Reduction\u003c\/i\u003e 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.\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eTwo new chapters on MIMO systems, correlation and Eigen analysis and independent component analysis\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eComprehensive coverage of advanced digital signal processing and noise reduction methods for communication and information processing systems\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eExamples and applications in signal and information extraction from noisy data\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003eComprehensive but accessible coverage of signal processing theory including probability models, Bayesian inference, hidden Markov models, adaptive filters and Linear prediction models\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eAdvanced Digital Signal Processing and Noise Reduction\u003c\/i\u003e 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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xix\u003c\/p\u003e \u003cp\u003eAcknowledgements xxiii\u003c\/p\u003e \u003cp\u003eSymbols xxv\u003c\/p\u003e \u003cp\u003eAbbreviations xxix\u003c\/p\u003e \u003cp\u003e1 Introduction 1\u003c\/p\u003e \u003cp\u003e2 Noise and Distortion 35\u003c\/p\u003e \u003cp\u003e3 Information Theory and Probability Models 51\u003c\/p\u003e \u003cp\u003e4 Bayesian Inference 107\u003c\/p\u003e \u003cp\u003e5 Hidden Markov Models 147\u003c\/p\u003e \u003cp\u003e6 Least Square Error Wiener-Kolmogorov Filters 173\u003c\/p\u003e \u003cp\u003e7 Adaptive Filters: Kalman, RLS, LMS 193\u003c\/p\u003e \u003cp\u003e8 Linear Prediction Models 227\u003c\/p\u003e \u003cp\u003e9 Eigenvalue Analysis and Principal Component Analysis 257\u003c\/p\u003e \u003cp\u003e10 Power Spectrum Analysis 271\u003c\/p\u003e \u003cp\u003e11 Interpolation – Replacement of Lost Samples 295\u003c\/p\u003e \u003cp\u003e12 Signal Enhancement via Spectral Amplitude Estimation 321\u003c\/p\u003e \u003cp\u003e13 Impulsive Noise: Modelling, Detection and Removal 341\u003c\/p\u003e \u003cp\u003e14 Transient Noise Pulses 359\u003c\/p\u003e \u003cp\u003e15 Echo Cancellation 371\u003c\/p\u003e \u003cp\u003e16 Channel Equalisation and Blind Deconvolution 391\u003c\/p\u003e \u003cp\u003e17 Speech Enhancement: Noise Reduction, Bandwidth Extension and Packet Replacement 423\u003c\/p\u003e \u003cp\u003e18 Multiple-Input Multiple-Output Systems, Independent Component Analysis 467\u003c\/p\u003e \u003cp\u003e19 Signal Processing in Mobile Communication 491\u003c\/p\u003e \u003cp\u003eBibliography 508\u003c\/p\u003e \u003cp\u003eIndex 509\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52278027518232,"sku":"9780470754061","price":101.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780470754061.jpg?v=1781456419","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/advanced-digital-signal-processing-and-noise-reduction-hardback-9780470754061","provider":"Freshly Printed Books","version":"1.0","type":"link"}