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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.

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Genre: Science
Author: Saeed V. Vaseghi
Publisher: John Wiley & Sons
Release: 2008-12-23
File: 544 Pages
ISBN-13: 9780470740163

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Bayesian Estimation and classification. Hidden markov models. Wiener filters. Kalman and adaptive least squared error filters.

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Genre: Technology & Engineering
Author: Saeed V. Vaseghi
Publisher: Vieweg+Teubner Verlag
Release: 1996-05
File: 397 Pages
ISBN-13: UCSD:31822023423569

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Additive and multiplicative noise in the information signal can significantly limit the potential of complex signal processing systems, especially when those systems use signals with complex phase structure. During the last few years this problem has been the focus of much research, and its solution could lead to profound improvements in applications of complex signals and coherent signal processing. Signal Processing Noise sets forth a generalized approach to signal processing in multiplicative and additive noise that represents a remarkable advance in signal processing and detection theory. This approach extends the boundaries of the noise immunity set by classical and modern signal processing theories, and systems constructed on this basis achieve better detection performance than that of systems currently in use. Featuring the results of the author's own research, the book is filled with examples and applications, and each chapter contains an analysis of recent observations obtained by computer modelling and experiments. Tables and illustrations clearly show the superiority of the generalized approach over both classical and modern approaches to signal processing noise. Addressing a fundamental problem in complex signal processing systems, this book offers not only theoretical development, but practical recommendations for raising noise immunity in a wide range of applications.

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Genre: Technology & Engineering
Author: Vyacheslav Tuzlukov
Publisher: CRC Press
Release: 2018-10-08
File: 688 Pages
ISBN-13: 9781420041118

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This book is devoted to the emerging technology of noise waveform radar and its signal processing aspects. It is a new kind of radar, which use noise-like waveform to illuminate the target. The book includes an introduction to basic radar theory, starting from classical pulse radar, signal compression, and wave radar. The book then discusses the properties, difficulties and potential of noise radar systems, primarily for low-power and short-range civil applications. The contribution of modern signal processing techniques to making noise radar practical are emphasized, and application examples are given.

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Genre: Technology & Engineering
Author: Krzysztof Kulpa
Publisher: Artech House
Release: 2013-07-01
File: 272 Pages
ISBN-13: 9781608076611

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Noise and Vibration Analysis is a complete and practical guide that combines both signal processing and modal analysis theory with their practical application in noise and vibration analysis. It provides an invaluable, integrated guide for practicing engineers as well as a suitable introduction for students new to the topic of noise and vibration. Taking a practical learning approach, Brandt includes exercises that allow the content to be developed in an academic course framework or as supplementary material for private and further study. Addresses the theory and application of signal analysis procedures as they are applied in modern instruments and software for noise and vibration analysis Features numerous line diagrams and illustrations Accompanied by a web site at www.wiley.com/go/brandt with numerous MATLAB tools and examples. Noise and Vibration Analysis provides an excellent resource for researchers and engineers from automotive, aerospace, mechanical, or electronics industries who work with experimental or analytical vibration analysis and/or acoustics. It will also appeal to graduate students enrolled in vibration analysis, experimental structural dynamics, or applied signal analysis courses.

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Genre: Technology & Engineering
Author: Anders Brandt
Publisher: John Wiley & Sons
Release: 2011-03-29
File: 464 Pages
ISBN-13: 0470978112

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Genre:
Author: Jelmer J.T. Wagenaar
Publisher:
Release: 2015
File: 96 Pages
ISBN-13: OCLC:1140958096

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Advances in methods of gear design and the possibility ofpredicting the sound pressure level and life time of gearboxes andperfect instrumentation of test stands allows for the production ofa new generation of quiet transmission units. Current literature ongearbox noise and vibration is usually focused on a particularproblem such as gearbox design without a detailed description ofmeasurement methods for noise and vibration testing. Vehicle Gearbox Noise and Vibration: Measurement, SignalAnalysis, Signal Processing and Noise Reduction Measuresaddresses this need and comprehensively covers the sources of noiseand vibration in gearboxes and describes various methods of signalprocessing. It also covers gearing design, precision manufacturing,measuring the gear train transmission error, noise test on testingstands and also during vehicle pass-by tests. The analysis tools for gearbox inspection are based on thefrequency and time domain methods, including envelope and averagetoothmesh analysis. To keep the radiated noise under control, theeffect of load, the gear contact ratio and the tooth surfacemodification on noise and vibration are illustrated by measurementexamples giving an idea how to reduce transmission noise. Key features: Covers methods of processing noise and vibration signals Takes a practical approach to the subject and includes a casestudy covering how to successfully reduce transmission noise Describes the procedure for the measurement and calculation ofthe angular vibrations of gears during rotation Considers various signal processing methods including order analysis, synchronous averaging, Vold-Kalman order trackingfiltration and measuring the angular vibration Vehicle Gearbox Noise and Vibration: Measurement, SignalAnalysis, Signal Processing and Noise Reduction Measures is acomprehensive reference for designers of gearing systems and testengineers in the automotive industry and is also a useful source ofinformation for graduate students in automotive and noiseengineering.

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Genre: Technology & Engineering
Author: Jiri Tuma
Publisher: John Wiley & Sons
Release: 2014-02-20
File: 264 Pages
ISBN-13: 9781118797617

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Genre: Signal processing^xDigital techniques
Author: Jheng Duan
Publisher:
Release: 2018
File: 313 Pages
ISBN-13: 1682513297

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Additive and multiplicative noise in the information signal can significantly limit the potential of complex signal processing systems, especially when those systems use signals with complex phase structure. During the last few years this problem has been the focus of much research, and its solution could lead to profound improvements in applications of complex signals and coherent signal processing. Signal Processing Noise sets forth a generalized approach to signal processing in multiplicative and additive noise that represents a remarkable advance in signal processing and detection theory. This approach extends the boundaries of the noise immunity set by classical and modern signal processing theories, and systems constructed on this basis achieve better detection performance than that of systems currently in use. Featuring the results of the author's own research, the book is filled with examples and applications, and each chapter contains an analysis of recent observations obtained by computer modelling and experiments. Tables and illustrations clearly show the superiority of the generalized approach over both classical and modern approaches to signal processing noise. Addressing a fundamental problem in complex signal processing systems, this book offers not only theoretical development, but practical recommendations for raising noise immunity in a wide range of applications.

Product Details :

Genre: Technology & Engineering
Author: Vyacheslav Tuzlukov
Publisher: CRC Press
Release: 2018-10-08
File: 688 Pages
ISBN-13: 9781420041118

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Genre:
Author:
Publisher:
Release: 1991
File: 86 Pages
ISBN-13: NASA:31769000686694

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