Kooperativer Bibliotheksverbund

UID:

Format: 1 Online-Ressource (XVIII, 495 p. 232 illus., 23 illus. in color)

Edition: Fifth edition

ISBN: 9783030290573

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-29056-6

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-29058-0

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-29059-7

Language: English

Keywords: Digitale Signalverarbeitung ; Adaptives Filter

DOI: 10.1007/978-3-030-29057-3

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 online resource (xii, 253 pages) : , digital, PDF file(s).

Edition: 1st ed.

ISBN: 1-108-90224-3 , 1-108-89613-8

Content: Learn to solve the unprecedented challenges facing Online Learning and Adaptive Signal Processing in this concise, intuitive text. The ever-increasing amount of data generated every day requires new strategies to tackle issues such as: combining data from a large number of sensors; improving spectral usage, utilizing multiple-antennas with adaptive capabilities; or learning from signals placed on graphs, generating unstructured data. Solutions to all of these and more are described in a condensed and unified way, enabling you to expose valuable information from data and signals in a fast and economical way. The up-to-date techniques explained here can be implemented in simple electronic hardware, or as part of multi-purpose systems. Also featuring alternative explanations for online learning, including newly developed methods and data selection, and several easily implemented algorithms, this one-of-a-kind book is an ideal resource for graduate students, researchers, and professionals in online learning and adaptive filtering.

Note: Title from publisher's bibliographic system (viewed on 24 Nov 2022).

Additional Edition: ISBN 9781108842129

Language: English

URL: lizenzpflichtig

URL: https://doi.org/10.1017/9781108896139

UID:

Format: 1 online resource (li, 1506 pages) : , illustrations (some color).

Edition: First edition.

ISBN: 0-12-397226-4

Series Statement: Academic Press library in signal processing ; volume 1

Content: This first volume of a four volume set, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory. With this reference source you will: Quickly grasp a new area of research Understand the underlying principles of a topic and its applicationAscertain how a topic relates to other areas and learn of the research issues yet to be resolvedQuick tutorial reviews of important

Note: Description based upon print version of record. , section 1. Signal processing theory -- section 2. Machine learning. , English

Additional Edition: ISBN 0-12-396502-0

Additional Edition: ISBN 1-299-92661-4

Language: English

UID:

Format: 1 Online-Ressource (xii, 253 Seiten)

ISBN: 9781108896139

Content: Learn to solve the unprecedented challenges facing Online Learning and Adaptive Signal Processing in this concise, intuitive text. The ever-increasing amount of data generated every day requires new strategies to tackle issues such as: combining data from a large number of sensors; improving spectral usage, utilizing multiple-antennas with adaptive capabilities; or learning from signals placed on graphs, generating unstructured data. Solutions to all of these and more are described in a condensed and unified way, enabling you to expose valuable information from data and signals in a fast and economical way. The up-to-date techniques explained here can be implemented in simple electronic hardware, or as part of multi-purpose systems. Also featuring alternative explanations for online learning, including newly developed methods and data selection, and several easily implemented algorithms, this one-of-a-kind book is an ideal resource for graduate students, researchers, and professionals in online learning and adaptive filtering

Note: Title from publisher's bibliographic system (viewed on 24 Nov 2022)

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-108-84212-9

Language: English

DOI: 10.1017/9781108896139

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 online resource (xix, 612 pages) : , digital, PDF file(s).

Edition: 1st ed.

ISBN: 0-511-32357-3 , 1-280-42984-4 , 9786610429844 , 1-139-16458-9 , 0-511-17671-6 , 0-511-07775-0 , 0-511-15760-6 , 0-511-07618-5

Content: Digital signal processing lies at the heart of the communications revolution and is an essential element of key technologies such as mobile phones and the Internet. This book covers all the major topics in digital signal processing (DSP) design and analysis, supported by MatLab examples and other modelling techniques. The authors explain clearly and concisely why and how to use digital signal processing systems; how to approximate a desired transfer function characteristic using polynomials and ratio of polynomials; why an appropriate mapping of a transfer function on to a suitable structure is important for practical applications; and how to analyse, represent and explore the trade-off between time and frequency representation of signals. An ideal textbook for students, it will also be a useful reference for engineers working on the development of signal processing systems.

Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Discrete-time systems -- , Discrete-time signals -- , Difference equations and time-domain response -- , Sampling of continuous-time signals -- , Discrete-time signals and systems with MATLAB -- , The z and Fourier transforms -- , Definition of the z transform -- , Inverse z transform -- , Properties of the z transform -- , Transfer functions -- , Stability in the z domain -- , Frequency response -- , Fourier transform -- , Properties of the Fourier transform -- , Transfer functions with MATLAB -- , Discrete transforms -- , Discrete Fourier transform -- , Properties of the DFT -- , Digital filtering using the DFT -- , Fast Fourier transform -- , Other discrete transforms -- , Signal representations -- , Discrete transforms with MATLAB -- , Digital filters -- , Basic structures of nonrecursive digital filters -- , Basic structures of recursive digital filters -- , Digital network analysis -- , State-space description -- , Basic properties of digital networks -- , Digital filter forms with MATLAB -- , FIR filter approximations -- , Ideal characteristics of standard filters -- , FIR filter approximation by frequency sampling -- , FIR filter approximation with window functions -- , Maximally flat FIR filter approximation -- , FIR filter approximation by optimization -- , FIR filter approximation with MATLAB -- , IIR filter approximations -- , Analog filter approximations -- , Continuous-time to discrete-time transformations -- , Frequency transformation in the discrete-time domain -- , Magnitude and phase approximation -- , Time-domain approximation -- , IIR filter approximation with MATLAB. , English

Additional Edition: ISBN 0-521-02513-3

Additional Edition: ISBN 0-521-78175-2

Language: English

URL: https://doi.org/10.1017/CBO9781139164580

UID:

Format: 1 Online-Ressource (1559 pages)

Edition: First edition

ISBN: 9780123972262 , 0123972264 , 9780123965028

Series Statement: Academic Press library in signal processing Volume 1

Note: Includes bibliographical references and index , This first volume of a four volume set, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory. With this reference source you will: Quickly grasp a new area of research. Understand the underlying principles of a topic and its applicationAscertain how a topic relates to other areas and learn of the research issues yet to be resolved Quick tutorial reviews of important and emerging topics of research in machine learningPresents core principles in signal processing theory and shows their applicationsReference content on core principles, technologies, algorithms and applications Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic

Additional Edition: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 0-12-396502-0

Language: English

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XXI, 652 p. 199 illus)

Edition: 4th ed.

ISBN: 9781461441069

Content: 〈p〉In the fourth edition of 〈i〉Adaptive Filtering: Algorithms and Practical Implementation〈/i〉, author Paulo S.R. Diniz presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner. The main classes of adaptive filtering algorithms are presented in a unified framework, using clear notations that facilitate actual implementation. 〈br〉〈br〉The main algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Many examples address problems drawn from actual applications. New material to this edition includes:〈/p〉〈ul〉〈li〉Analytical and simulation examples in Chapters 4, 5, 6 and 10〈br〉〈/li〉〈li〉Appendix E, which summarizes the analysis of set-membership algorithm〈br〉〈/li〉〈li〉Updated problems and references〈br〉〈/li〉〈/ul〉〈p〉Providing a concise background on adaptive filtering, this book covers the family of LMS, affine projection, RLS and data-selective set-membership algorithms as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more.〈/p〉〈p〉Several problems are included at the end of chapters, and some of these problems address applications. A user-friendly MATLAB package is provided where the reader can easily solve new problems and test algorithms in a quick manner. Additionally, the book provides easy access to working algorithms for practicing engineers. 〈/p〉〈p〉

Note: 〈p〉Introduction to Adaptive Filtering -- Fundamentals of Adaptive Filtering -- The Least-Mean-Square (LMS) Algorithm -- LMS-Based Algorithms -- Conventional RLS Adaptive Filter -- Data-Selective Adaptive Filtering -- Adaptive Lattice-Based RLS Algorithms -- Fast Transversal RLS Algorithms -- QR-Decomposition-Based RLS Filters -- Adaptive IIR Filters -- Nonlinear Adaptive Filtering -- Subband Adaptive Filters -- Blind Adaptive Filtering.〈/p〉

Additional Edition: Erscheint auch als Druckausgabe ISBN 978-1-4614-4105-2

Language: English

Keywords: Digitale Signalverarbeitung ; Adaptives Filter

DOI: 10.1007/978-1-4614-4106-9

URL: Volltext

URL: Inhaltsverzeichnis

URL: Abstract

UID:

Format: 1 online resource (li, 1506 pages) : , illustrations (some color).

Edition: First edition.

ISBN: 0-12-397226-4

Series Statement: Academic Press library in signal processing ; volume 1

Content: This first volume of a four volume set, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory. With this reference source you will: Quickly grasp a new area of research Understand the underlying principles of a topic and its applicationAscertain how a topic relates to other areas and learn of the research issues yet to be resolvedQuick tutorial reviews of important

Note: Description based upon print version of record. , section 1. Signal processing theory -- section 2. Machine learning. , English

Additional Edition: ISBN 0-12-396502-0

Additional Edition: ISBN 1-299-92661-4

Language: English

UID:

Format: 1 online resource (li, 1506 pages) : , illustrations (some color).

Edition: First edition.

ISBN: 0-12-397226-4

Series Statement: Academic Press library in signal processing ; volume 1

Content: This first volume of a four volume set, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory. With this reference source you will: Quickly grasp a new area of research Understand the underlying principles of a topic and its applicationAscertain how a topic relates to other areas and learn of the research issues yet to be resolvedQuick tutorial reviews of important

Note: Description based upon print version of record. , section 1. Signal processing theory -- section 2. Machine learning. , English

Additional Edition: ISBN 0-12-396502-0

Additional Edition: ISBN 1-299-92661-4

Language: English

UID:

Format: XIV, 443 S. , graph. Darst.

ISBN: 0792399129

Series Statement: Kluwer international series in engineering and computer science 399

Note: Includes bibliographical references and index

Language: English

Subjects: Engineering

Keywords: Adaptives Filter ; Adaptives Filter ; Algorithmus ; Signalverarbeitung ; Statistik

URL: Inhaltstext

URL: Inhaltstext

URL: Inhaltsverzeichnis