Vaseghi saeed (32 Ergebnisse)

Hardcover. Zustand: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Zustand: Good. Original boards, illustrated with numerous equations, graphs and diagrams, 8vo.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,900grams, ISBN:9780471958758. …

Hardcover. Zustand: Très bon. Ancien livre de bibliothèque avec équipements. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Ammareal gives back up to 15% of this item's net price to charity organizations.…

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Zustand: Good. Small signs of wear but no tears, scratches or major flaws. John Wiley, 2000, hardback no jacketGood conditionSignal processing and noise reduction are at the core of telecommunications and information processing systems. With the increasing use of digital cellular mobile systems in a variety of adverse environments, noise reduction is becoming a particularly important aspect of communication system design. This second edition provides a thoroughly revised and expanded introduction to the fundamentals of random processes, Bayesian modelling, and noise reduction. The subject is covered in a graphical and mathematically accessible manner with the emphasis on Bayesian inference and its application to noise reduction. Offers a comprehensive insight into a broad range of theory and applications of advanced signal processing Presents new chapters and sections on definition and modelling of different types of noise and distortions, multiband linear prediction models, statedependent Wiener filters and HMMbased noise reduction Explores practical solutions to echo cancellation, impulsive and transient noise removal, broadband noise removal, channel equalisation, HMMbased signal and noise decomposition. Discusses topics such as probability theory, Bayesian estimation and classification, hidden Markov models, adaptive filters, multiband linear prediction, spectral estimation and impulsive and transient noise removal For professional engineers in telecommunications and audio and signal processing industries this updated second edition will be a valuable resource. Researchers and postgraduates in the fields of digital signal processing, statistical data analysis and telecommunications will also benefit from this extensive reference.…

Zustand: new.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: new.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 397 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: As New. Unread book in perfect condition.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1350grams, ISBN:9780470062012. …

Zustand: New. The aim of this book is to provide a coherent and structured presentation of the theory and applications of statistical signal processing in three sections: Part 1: Basic Digital Signal Processing gives an introduction to the topic, discussing sampling and quantization, Fourier analysis and synthesis, Z-transform, and digital filters. Num Pages: 680 pages, black & white tables, diagrams, figures, graphs. BIC Classification: TJK; UYS. Category: (P) Professional & Vocational. Dimension: 251 x 175 x 42. Weight in Grams: 1290. . 2007. Hardback. . . . .…

Zustand: New. 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. Num Pages: 544 pages, Illustrations. BIC Classification: TJK. Category: (P) Professional & Vocational. Dimension: 177 x 254 x 36. Weight in Grams: 1044. . 2009. 4th Edition. Hardcover. . . . . …

Zustand: New. pp. xxx + 514 Illus.

Zustand: New. In English.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 1st edition. 680 pages. 9.75x7.00x1.50 inches. In Stock.

Hardcover. Zustand: Brand New. 4th edition. 514 pages. 9.75x6.75x1.25 inches. In Stock.

Zustand: New. The aim of this book is to provide a coherent and structured presentation of the theory and applications of statistical signal processing in three sections: Part 1: Basic Digital Signal Processing gives an introduction to the topic, discussing sampling and quantization, Fourier analysis and synthesis, Z-transform, and digital filters. Num Pages: 680 pages, black & white tables, diagrams, figures, graphs. BIC Classification: TJK; UYS. Category: (P) Professional & Vocational. Dimension: 251 x 175 x 42. Weight in Grams: 1290. . 2007. Hardback. . . . . Books ship from the US and Ireland.…

Zustand: New. 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. Num Pages: 544 pages, Illustrations. BIC Classification: TJK. Category: (P) Professional & Vocational. Dimension: 177 x 254 x 36. Weight in Grams: 1044. . 2009. 4th Edition. Hardcover. . . . . Books ship from the US and Ireland. …

Buch. Zustand: Neu. Neuware - Multimedia Signal Processing is a comprehensive and accessible text to the theory and applications of digital signal processing (DSP). The applications of DSP are pervasive and include multimedia systems, cellular communication, adaptive network management, radar, pattern recognition, medical signal processing, financial data forecasting, artificial intelligence, decision making, control systems and search engines.This book is organised in to three major parts making it a coherent and structured presentation of the theory and applications of digital signal processing. A range of important topics are covered in basic signal processing, model-based statistical signal processing and their applications.Part 1: Basic Digital Signal Processing gives an introduction to the topic, discussing sampling and quantization, Fourier analysis and synthesis, Z-transform, and digital filters.Part 2: Model-based Signal Processing covers probability and information models, Bayesian inference, Wiener filter, adaptive filters, linear prediction hidden Markov models and independent component analysis.Part 3: Applications of Signal Processing in Speech, Music and Telecommunications explains the topics of speech and music processing, echo cancellation, deconvolution and channel equalization, and mobile communication signal processing.\* Covers music signal processing, explains the anatomy and psychoacoustics of hearing and the design of MP3 music coder\* Examines speech processing technology including speech models, speech coding for mobile phones and speech recognition\* Covers single-input and multiple-inputs denoising methods, bandwidth extension and the recovery of lost speech packets in applications such as voice over IP (VoIP)\* Illustrated throughout, including numerous solved problems, Matlab experiments and demonstrations\* Companion website features Matlab and C++ programs with electronic copies of all figures.This book is ideal for researchers, postgraduates and senior undergraduates in the fields of digital signal processing, telecommunications and statistical data analysis. It will also be a valuable text to professional engineers in telecommunications and audio and signal processing industries. …

Hardcover. Zustand: gut. 1996. Advanced Signal Processing and Digital Noise Reduction In englischer Sprache. pages.

Buch. Zustand: Neu. Neuware - 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 modelsAdvanced 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.…

Zustand: New. Num Pages: black & white illustrations, bibliography. BIC Classification: TBC. Category: (G) General (US: Trade). Dimension: 244 x 170 x 22. Weight in Grams: 658. . . Paperback / so. . . . .

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Stochastic signal processing plays a central role in telecommunication and information processing systems, and has a wide range of applications in speech technology, audio signal processing, channel equalisation, radar signal processing, pattern analysis, data forecasting, decision making systems etc. 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. Hence, noise reduction and the removal of channel distortions is an important part of a signal processing system. The aim of this book is to provide a coherent and structured presentation of the theory and applications of stochastic signal processing and noise reduction methods. This book is organised in fourteen chapters. Chapter 1 begins with an introduction to signal processing, and provides a brief review of the signal processing methodologies and applications. The basic operations of sampling and quantisation are reviewed in this chapter. Chapter 2 provides an introduction to the theory and applications of stochastic signal processing. The chapter begins with an introduction to random signals, stochastic processes, probabilistic models and statistical measures. The concepts of stationary, non-stationary and ergodic processes are introduced in this chapter, and some important classes of random processes such as Gaussian, mixture Gaussian, Markov chains, and Poisson processes are considered. The effects of transformation of a signal on its distribution are considered.…