Автор: Thomas Holton Название: Digital Signal Processing: Principles and Applications ISBN: 1108418449 ISBN-13(EAN): 9781108418447 Издательство: Cambridge Academ Рейтинг: Цена: 16474.00 р. Наличие на складе: Ожидается поступление.
Описание: A comprehensive and mathematically accessible introduction to digital signal processing, with clear explanations of elementary principles, advanced topics, and applications. It features over 600 full-color figures, 200 worked examples, hundreds of end-of-chapter problems, and computational examples of DSP algorithms implemented in Matlab and C.
Автор: Dimitris G. Manolakis Название: Statisical and Adaptive Signal Processing ISBN: 1580536107 ISBN-13(EAN): 9781580536103 Издательство: Artech House Рейтинг: Цена: 29117.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Originally published by McGraw-Hill and now reissued by Artech House, this definitive volume offers a unified, comprehensive and practical treatment of statistical and adaptive signal processing. Written by leading experts in industry and academia, the book covers the most important aspects of the subject, such as spectral estimation, signal modeling, adaptive filtering, and array processing.
Автор: Charbit, Maurice, Название: Digital Signal Processing (DSP) with Python Progra mming ISBN: 1786301261 ISBN-13(EAN): 9781786301260 Издательство: Wiley Рейтинг: Цена: 22010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The parameter estimation and hypothesis testing are the basic tools in statistical inference. These techniques occur in many applications of data processing. , and methods of Monte Carlo have become an essential tool to assess performance. For pedagogical purposes the book includes several computational problems and exercices.
Автор: Hayes, Monson H. Название: Statistical digital signal processing and modeling ISBN: 0471594318 ISBN-13(EAN): 9780471594314 Издательство: Wiley Рейтинг: Цена: 45636.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book responds to the dramatic growth in digital signal processing (DSP) over the past decade. While its focal point is signal modeling, the book integrates and explores the relationships of signal modeling to the important problems of optimal filtering, spectral estimation, and adaptive filtering.
Описание: In addition to its thorough coverage of DSP design and programming techniques, Smith also covers the operation and usage of DSP chips. He uses Analog Devices' popular DSP chip family as design examples. Also included on the companion website is technical info on DSP processors from the four major manufacturers (Analog Devices, Texas Instruments, Motorola, and Lucent) and other DSP software. *Covers all major DSP topics *Full of insider information and shortcuts *Basic techniques and algorithms explained without complex numbers
Автор: Manolakis Название: Applied Digital Signal Processing ISBN: 0521110025 ISBN-13(EAN): 9780521110020 Издательство: Cambridge Academ Рейтинг: Цена: 16474.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The basic concepts and methodologies of DSP are introduced, leading students through the fundamental mathematical principles underlying signal processing. Blending theory with practical implementation, outlining the limitations of digital signal processing, and with a focus on MATLAB, students and practitioners are shown how to better connect theory and practice.
Описание: This updated edition gives readers hands-on experience in real-time DSP using a practical, step-by-step framework that also incorporates demonstrations, exercises, and problems, coupled with brief overviews of applicable theory and MATLAB applications. Organized in three sections that cover enduring fundamentals and present practical projects and invaluable appendices, this new edition provides support for the most recent and powerful of the inexpensive DSP development boards currently available from Texas Instruments: the OMAP-L138 LCDK. It includes two new real-time DSP projects, as well as three new appendices: an introduction to the Code Generation tools available with MATLAB, a guide on how to turn the LCDK into a portable battery-operated device, and a comparison of the three DSP boards directly supported by this edition.
Volume 3 of the second edition of the fully revised and updated Digital Signal and Image Processing using MATLAB(R), after first two volumes on the "Fundamentals" and "Advances and Applications: The Deterministic Case," focuses on the stochastic case. It will be of particular benefit to readers who already possess a good knowledge of MATLAB(R), a command of the fundamental elements of digital signal processing and who are familiar with both the fundamentals of continuous-spectrum spectral analysis and who have a certain mathematical knowledge concerning Hilbert spaces.
This volume is focused on applications, but it also provides a good presentation of the principles. A number of elements closer in nature to statistics than to signal processing itself are widely discussed. This choice comes from a current tendency of signal processing to use techniques from this field.
More than 200 programs and functions are provided in the MATLAB(R) language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject.
Автор: Rojo-?lvarez Название: Digital Signal Processing with Kernel Methods ISBN: 1118611799 ISBN-13(EAN): 9781118611791 Издательство: Wiley Рейтинг: Цена: 17733.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to communications, multimedia, and biomedical engineering systems
Digital Signal Processing with Kernel Methods reviews the milestones in the mixing of classical digital signal processing models and advanced kernel machines statistical learning tools. It explains the fundamental concepts from both fields of machine learning and signal processing so that readers can quickly get up to speed in order to begin developing the concepts and application software in their own research.
Digital Signal Processing with Kernel Methods provides a comprehensive overview of kernel methods in signal processing, without restriction to any application field. It also offers example applications and detailed benchmarking experiments with real and synthetic datasets throughout. Readers can find further worked examples with Matlab source code on a website developed by the authors: http: //github.com/DSPKM
- Presents the necessary basic ideas from both digital signal processing and machine learning concepts - Reviews the state-of-the-art in SVM algorithms for classification and detection problems in the context of signal processing - Surveys advances in kernel signal processing beyond SVM algorithms to present other highly relevant kernel methods for digital signal processing
An excellent book for signal processing researchers and practitioners, Digital Signal Processing with Kernel Methods will also appeal to those involved in machine learning and pattern recognition.
Название: Digital Signal Processing ISBN: 0333963563 ISBN-13(EAN): 9780333963562 Издательство: Springer Рейтинг: Цена: 9921.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This title provides an introduction to Digital Signal Processing (DSP) for undergraduate electrical engineers. This second edition has been updated to include a new, larger page design, the addition of learning objectives and summaries, and more questions and examples throughout.
Автор: Lapidoth, Amos (Swiss Federal University (ETH), Zurich) Название: A Foundation in Digital Communication. 2 ed ISBN: 1107177324 ISBN-13(EAN): 9781107177321 Издательство: Cambridge Academ Рейтинг: Цена: 13622.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Fully updated for the second edition, this intuitive yet mathematically rigorous text derives the key results of digital communication from first principles. It includes new chapters on the radar problem and intersymbol interference channels, a more geometric derivation of optimal detection in white Gaussian noise, and over 500 homework problems.
Автор: Alexander Winser Название: Digital Signal Processing ISBN: 0128045477 ISBN-13(EAN): 9780128045473 Издательство: Elsevier Science Рейтинг: Цена: 11789.00 р. Наличие на складе: Нет в наличии.
Описание: Digital signal processing (DSP) has been applied to a very wide range of applications. This includes voice processing, image processing, digital communications, the transfer of data over the internet, image and data compression, etc. Engineers who develop DSP applications today, and in the future, will need to address many implementation issues including mapping algorithms to computational structures, computational efficiency, power dissipation, the effects of finite precision arithmetic, throughput and hardware implementation. It is not practical to cover all of these in a single text. However, this text emphasizes the practical implementation of DSP algorithms as well as the fundamental theories and analytical procedures that form the basis for modern DSP applications. . Digital Signal Processing: Principles, Algorithms and System Design provides an introduction to the principals of digital signal processing along with a balanced analytical and practical treatment of algorithms and applications for digital signal processing. It is intended to serve as a suitable text for a one semester junior or senior level undergraduate course. It is also intended for use in a following one semester first-year graduate level course in digital signal processing. It may also be used as a reference by professionals involved in the design of embedded computer systems, application specific integrated circuits or special purpose computer systems for digital signal processing, multimedia, communications, or image processing.
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