Statistical And Adaptive Signal Processing
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Statistical And Adaptive Signal Processing
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Author : Dimitris G. Manolakis
language : en
Publisher: Artech House Publishers
Release Date : 2005
Statistical And Adaptive Signal Processing written by Dimitris G. Manolakis and has been published by Artech House Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with COMPUTERS categories.
This authoritative volume on statistical and adaptive signal processing offers you a unified, comprehensive and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. Packed with over 3,000 equations and more than 300 illustrations, this unique resource provides you with balanced coverage of implementation issues, applications, and theory, making it a smart choice for professional engineers and students alike.
Digital Signal Processing With Examples In Matlab Second Edition
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Author : Samuel D. Stearns
language : en
Publisher: CRC Press
Release Date : 2002-08-28
Digital Signal Processing With Examples In Matlab Second Edition written by Samuel D. Stearns and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-08-28 with Technology & Engineering categories.
In a field as rapidly expanding as digital signal processing, even the topics relevant to the basics change over time both in their nature and their relative importance. It is important, therefore, to have an up-to-date text that not only covers the fundamentals, but that also follows a logical development that leaves no gaps readers must somehow bridge by themselves. Digital Signal Processing with Examples in MATLAB® is just such a text. The presentation does not focus on DSP in isolation, but relates it to continuous signal processing and treats digital signals as samples of physical phenomena. The author also takes care to introduce important topics not usually addressed in signal processing texts, including the discrete cosine and wavelet transforms, multirate signal processing, signal coding and compression, least squares systems design, and adaptive signal processing. He also uses the industry-standard software MATLAB to provide examples of signal processing, system design, spectral analysis, filtering, coding and compression, and exercise solutions. All of the examples and functions used in the text are available online at www.crcpress.com. Designed for a one-semester upper-level course but also ideal for self-study and reference, Digital Signal Processing with Examples in MATLAB is complete, self-contained, and rigorous. For basic DSP, it is quite simply the only book you need.
Partial Update Adaptive Signal Processing
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Author : Kutluyil Doğançay
language : en
Publisher: Academic Press
Release Date : 2008-09-17
Partial Update Adaptive Signal Processing written by Kutluyil Doğançay and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-17 with Technology & Engineering categories.
Partial-update adaptive signal processing algorithms not only permit significant complexity reduction in adaptive filter implementations, but can also improve adaptive filter performance in telecommunications applications. This book gives state-of-the-art methods for the design and development of partial-update adaptive signal processing algorithms for use in systems development.Partial-Update Adaptive Signal Processing provides a comprehensive coverage of key partial updating schemes, giving detailed information on the theory and applications of acoustic and network echo cancellation, channel equalization and multiuser detection. It also examines convergence and stability issues for partial update algorithms, providing detailed complexity analysis and a unifying treatment of partial-update techniques.Features:• Advanced analysis and design tools• Application examples illustrating the use of partial-update adaptive signal processing• MATLAB codes for developed algorithms This unique reference will be of interest to signal processing and communications engineers, researchers, R&D engineers and graduate students."This is a very systematic and methodical treatment of an adaptive signal processing topic, of particular significance in power limited applications such as in wireless communication systems and smart ad hoc sensor networks. I am very happy to have this book on my shelf, not to gather dust, but to be consulted and used in my own research and teaching activities" – Professor A. G. Constantinides, Imperial College, LondonAbout the author:Kutluyil Dogançay is an associate professor of Electrical Engineering at the University of South Australia. His research interests span statistical and adaptive signal processing and he serves as a consultant to defence and private industry. He was the Signal Processing and Communications Program Chair of IDC Conference 2007, and is currently chair of the IEEE South Australia Communications and Signal Processing Chapter. - Advanced analysis and design tools - Algorithm summaries in tabular format - Case studies illustrate the application of partial update adaptive signal processing
Special Issue On Adaptive Signal Processing And Higher Order Statistics
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Author : Georgios B. Giannakis
language : en
Publisher:
Release Date : 1996
Special Issue On Adaptive Signal Processing And Higher Order Statistics written by Georgios B. Giannakis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.
Adaptive Signal Processing And Higher Order Statistics
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Author : Georgios B. Giannakis
language : en
Publisher:
Release Date : 1996
Adaptive Signal Processing And Higher Order Statistics written by Georgios B. Giannakis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.
Statistical And Adaptive Signal Processing For Uxo Discrimination For Next Generation Sensor Data
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Author :
language : en
Publisher:
Release Date : 2009
Statistical And Adaptive Signal Processing For Uxo Discrimination For Next Generation Sensor Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
To address the limitations associated with current sensors, SERDP and ESTCP have been supporting efforts to develop a new generation of UXO sensors that produce data streams of multi-axis vector or gradiometric measurements, for which optimal processing has not yet been carefully considered or developed. Here, we outline a research program where our goal was to address this processing gap, employing a synergistic use of advanced phenomenological-modeling and signal-processing algorithms. The focus of the research was: (i) exploitation and refinement of Duke?s existing phenomenological models to accurately predict the underlying target signatures for the new sensor modalities, with the goal of pinpointing physical parameters that can be utilized within the signal processing architecture; (ii) development of physics-based statistical signal processing approaches applicable to the problem in which vector data is available from such sensors; (iii) development of the theory of optimal experiments to guide the optimal deployment of sensor modalities; and (iv) development of active learning and kernel-based algorithms that yield target classification based upon all available data (not based on individual feature vectors from isolated targets), as well as allowing data collected across multiple sites to be integrated within the classifier.
Adaptive Filtering
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Author : Paulo S. R. Diniz
language : en
Publisher: Springer
Release Date : 1997-05-31
Adaptive Filtering written by Paulo S. R. Diniz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-05-31 with Technology & Engineering categories.
The field of Digital Signal Processing has developed so fast in the last two decades that it can be found in the graduate and undergraduate programs of most universities. This development is related to the growing available techno logies for implementing digital signal processing algorithms. The tremendous growth of development in the digital signal processing area has turned some of its specialized areas into fields themselves. If accurate information of the signals to be processed is available, the designer can easily choose the most appropriate algorithm to process the signal. When dealing with signals whose statistical properties are unknown, fixed algorithms do not process these signals efficiently. The solution is to use an adaptive filter that automatically changes its characteristics by optimizing the internal parameters. The adaptive filtering algorithms are essential in many statistical signal processing applications. Although the field of adaptive signal processing has been subject of research for over three decades, it was in the eighties that a major growth occurred in research and applications. Two main reasons can be credited to this growth, the availability of implementation tools and the appearance of early textbooks exposing the subject in an organized form. Presently, there is still a lot of activities going on in the area of adaptive filtering. In spite of that, the theor etical development in the linear-adaptive-filtering area reached a maturity that justifies a text treating the various methods in a unified way, emphasizing the algorithms that work well in practical implementation.
Special Issue
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Author :
language : en
Publisher:
Release Date : 1996
Special Issue written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Adaptive control systems categories.
Digital And Statistical Signal Processing
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Author : Anastasia Veloni
language : en
Publisher: CRC Press
Release Date : 2018-10-03
Digital And Statistical Signal Processing written by Anastasia Veloni and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Technology & Engineering categories.
Nowadays, many aspects of electrical and electronic engineering are essentially applications of DSP. This is due to the focus on processing information in the form of digital signals, using certain DSP hardware designed to execute software. Fundamental topics in digital signal processing are introduced with theory, analytical tables, and applications with simulation tools. The book provides a collection of solved problems on digital signal processing and statistical signal processing. The solutions are based directly on the math-formulas given in extensive tables throughout the book, so the reader can solve practical problems on signal processing quickly and efficiently. FEATURES Explains how applications of DSP can be implemented in certain programming environments designed for real time systems, ex. biomedical signal analysis and medical image processing. Pairs theory with basic concepts and supporting analytical tables. Includes an extensive collection of solved problems throughout the text. Fosters the ability to solve practical problems on signal processing without focusing on extended theory. Covers the modeling process and addresses broader fundamental issues.
Adaptive Filtering
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Author : Paulo Sergio Ramirez Diniz
language : en
Publisher:
Release Date : 1997
Adaptive Filtering written by Paulo Sergio Ramirez Diniz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Adaptive signal processing categories.
The field of Digital Signal Processing has developed so fast in the last two decades that it can be found in the graduate and undergraduate programs of most universities. This development is related to the growing available techno logies for implementing digital signal processing algorithms. The tremendous growth of development in the digital signal processing area has turned some of its specialized areas into fields themselves. If accurate information of the signals to be processed is available, the designer can easily choose the most appropriate algorithm to process the signal. When dealing with signals whose statistical properties are unknown, fixed algorithms do not process these signals efficiently. The solution is to use an adaptive filter that automatically changes its characteristics by optimizing the internal parameters. The adaptive filtering algorithms are essential in many statistical signal processing applications. Although the field of adaptive signal processing has been subject of research for over three decades, it was in the eighties that a major growth occurred in research and applications. Two main reasons can be credited to this growth, the availability of implementation tools and the appearance of early textbooks exposing the subject in an organized form. Presently, there is still a lot of activities going on in the area of adaptive filtering. In spite of that, the theor etical development in the linear-adaptive-filtering area reached a maturity that justifies a text treating the various methods in a unified way, emphasizing the algorithms that work well in practical implementation.