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Author:
Publisher:
ISBN:
Category : Spectrum analysis
Languages : en
Pages :
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Book Description
Author:
Publisher:
ISBN:
Category : Spectrum analysis
Languages : en
Pages :
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Book Description
Author:
Publisher:
ISBN:
Category : Signal processing
Languages : en
Pages : 286
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Book Description
Author: Chrysostomos L. Nikias
Publisher: Prentice Hall
ISBN:
Category : Science
Languages : en
Pages : 570
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Book Description
This manual will be valuable to practicing engineers who need an introduction to polyspectra from a signal processing perspective. In response to the recent growth of interest in polyspectra, this timely text provides an introduction to signal processing methods that are based on polyspectra and cumulants concepts. The emphasis of the book is placed on the presentation of signal processing tools for use in situations where the more common power spectrum estimation techniques fall short.
Author: Simon S. Haykin
Publisher:
ISBN:
Category : Signal processing
Languages : en
Pages : 458
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Book Description
Author: Francis Castanié
Publisher: John Wiley & Sons
ISBN: 1118601831
Category : Mathematics
Languages : en
Pages : 297
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Book Description
Digital Spectral Analysis provides a single source that offers complete coverage of the spectral analysis domain. This self-contained work includes details on advanced topics that are usually presented in scattered sources throughout the literature. The theoretical principles necessary for the understanding of spectral analysis are discussed in the first four chapters: fundamentals, digital signal processing, estimation in spectral analysis, and time-series models. An entire chapter is devoted to the non-parametric methods most widely used in industry. High resolution methods are detailed in a further four chapters: spectral analysis by stationary time series modeling, minimum variance, and subspace-based estimators. Finally, advanced concepts are the core of the last four chapters: spectral analysis of non-stationary random signals, space time adaptive processing: irregularly sampled data processing, particle filtering and tracking of varying sinusoids. Suitable for students, engineers working in industry, and academics at any level, this book provides a rare complete overview of the spectral analysis domain.
Author: Francis Castanié
Publisher: John Wiley & Sons
ISBN: 1118614275
Category : Technology & Engineering
Languages : en
Pages : 186
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Book Description
This book deals with these parametric methods, first discussing those based on time series models, Capon’s method and its variants, and then estimators based on the notions of sub-spaces. However, the book also deals with the traditional “analog” methods, now called non-parametric methods, which are still the most widely used in practical spectral analysis.
Author: John William Dalle Molle
Publisher:
ISBN:
Category : Operator theory
Languages : en
Pages : 115
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Book Description
Author: David R. Brillinger
Publisher: SIAM
ISBN: 0898715016
Category : Mathematics
Languages : en
Pages : 556
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Book Description
This text employs basic techniques of univariate and multivariate statistics for the analysis of time series and signals.
Author: Boualem Boashash
Publisher: Academic Press
ISBN: 0123985250
Category : Technology & Engineering
Languages : en
Pages : 1070
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Book Description
Time-Frequency Signal Analysis and Processing (TFSAP) is a collection of theory, techniques and algorithms used for the analysis and processing of non-stationary signals, as found in a wide range of applications including telecommunications, radar, and biomedical engineering. This book gives the university researcher and R&D engineer insights into how to use TFSAP methods to develop and implement the engineering application systems they require. New to this edition: New sections on Efficient and Fast Algorithms; a "Getting Started" chapter enabling readers to start using the algorithms on simulated and real examples with the TFSAP toolbox, compare the results with the ones presented in the book and then insert the algorithms in their own applications and adapt them as needed. Two new chapters and twenty three new sections, including updated references. New topics including: efficient algorithms for optimal TFDs (with source code), the enhanced spectrogram, time-frequency modelling, more mathematical foundations, the relationships between QTFDs and Wavelet Transforms, new advanced applications such as cognitive radio, watermarking, noise reduction in the time-frequency domain, algorithms for Time-Frequency Image Processing, and Time-Frequency applications in neuroscience (new chapter). A comprehensive tutorial introduction to Time-Frequency Signal Analysis and Processing (TFSAP), accessible to anyone who has taken a first course in signals Key advances in theory, methodology and algorithms, are concisely presented by some of the leading authorities on the respective topics Applications written by leading researchers showing how to use TFSAP methods
Author:
Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 620
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Book Description
