Adaptive High Resolution Spectral Analysis With Noisy Data

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Adaptive High Resolution Spectral Analysis with Noisy Data

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Author : M. Kaveh
Publisher :
ISBN 13 :
Total Pages : 91 pages
Book Rating : 4.:/5 (227 download)

Book Synopsis Adaptive High Resolution Spectral Analysis with Noisy Data by : M. Kaveh

Download or read book Adaptive High Resolution Spectral Analysis with Noisy Data written by M. Kaveh and published by . This book was released on 1980 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report summarizes the results of research during the past two years, in understanding the resolution of the autoregressive (AR) spectral estimators and developing and evaluating computationally efficient autoregressive-moving average (ARMA) spectral estimators. The loss in the resolution of the AR spectral estimator in the presence of noise is related to the appearance of zeros in the z-plane. A parallel resonator model is developed to relate the loss in resolution (bandwidth expansion) to the signal-to-noise ratio and parameters of the noiseless signal model. A new technique for the identification of the order of an AR model was derived that shows substantial stability compared to the popular Akaike Information Criterion method. Order determination was emphasized, since increase in the order of the AR spectral estimator, to account for the presence of noise, is naturally accompanied by larger variance of the estimates and appearance of spurious peaks. Several sub-optimum (non-maximum-likelihood) ARMA spectral estimators were also developed. These methods are computationally efficient, but statistically not very stable for small data records. An evaluation of the statistical properties of the different sub-optimum ARMA techniques led to the evaluation of asymptotic bounds on the variances of the estimates of the parameters or the poles and zeros of the model through the evaluation of Fisher's information matrix.

High-Resolution and Robust Signal Processing

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Author : Yingbo Hua
Publisher : CRC Press
ISBN 13 : 1482276402
Total Pages : 550 pages
Book Rating : 4.4/5 (822 download)

Book Synopsis High-Resolution and Robust Signal Processing by : Yingbo Hua

Download or read book High-Resolution and Robust Signal Processing written by Yingbo Hua and published by CRC Press. This book was released on 2017-12-19 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: High-Resolution and Robust Signal Processing describes key methodological and theoretical advances achieved in this domain over the last twenty years, placing emphasis on modern developments and recent research pursuits. Applications-grounded, this sophisticated resource links theoretical background with high-resolution methods used in wireless communications, brain signal analysis, and space-time radar signal processing. Chapter extras include theorem proofs, derivations, and computational shortcuts, as well as open problems, numerical measurement, and performance examples, and simulation results Sixteen illustrious field leaders invest High-Resolution and Robust Signal Processing with: in-depth reviews of parametric high-resolution estimation and detection techniques; robust array processing solutions for adaptive beam forming and high-resolution direction finding; Parafac techniques for high-resolution array processing and specific areas of application; high-resolution nonparametric methods and implementation tactics for spectral analysis; multidimensional high-resolution data models and discussion of R-D unitary ESPRIT with colored noise; multidimensional high-resolution parameter estimation techniques applicable to channel sounding; estimation procedures for high-resolution space-time radar signal processing using 2-D or 1-D/1-D models; and models and methods for EEG/MEG space-time dipole source estimation and sensory array design.

Spectral Analysis of Signals

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Author : Yanwei Wang
Publisher : Springer Nature
ISBN 13 : 3031025253
Total Pages : 99 pages
Book Rating : 4.0/5 (31 download)

Book Synopsis Spectral Analysis of Signals by : Yanwei Wang

Download or read book Spectral Analysis of Signals written by Yanwei Wang and published by Springer Nature. This book was released on 2022-05-31 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spectral estimation is important in many fields including astronomy, meteorology, seismology, communications, economics, speech analysis, medical imaging, radar, sonar, and underwater acoustics. Most existing spectral estimation algorithms are devised for uniformly sampled complete-data sequences. However, the spectral estimation for data sequences with missing samples is also important in many applications ranging from astronomical time series analysis to synthetic aperture radar imaging with angular diversity. For spectral estimation in the missing-data case, the challenge is how to extend the existing spectral estimation techniques to deal with these missing-data samples. Recently, nonparametric adaptive filtering based techniques have been developed successfully for various missing-data problems. Collectively, these algorithms provide a comprehensive toolset for the missing-data problem based exclusively on the nonparametric adaptive filter-bank approaches, which are robust and accurate, and can provide high resolution and low sidelobes. In this book, we present these algorithms for both one-dimensional and two-dimensional spectral estimation problems.

High-Resolution Noisy Signal and Image Processing

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Author : Edward Valachovic
Publisher : Cambridge Scholars Publishing
ISBN 13 : 1527564169
Total Pages : 375 pages
Book Rating : 4.5/5 (275 download)

Book Synopsis High-Resolution Noisy Signal and Image Processing by : Edward Valachovic

Download or read book High-Resolution Noisy Signal and Image Processing written by Edward Valachovic and published by Cambridge Scholars Publishing. This book was released on 2020-12-24 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book introduces valuable new data analysis methods in time and space, and provides many examples and recommendations for new developments. It will teach the reader how to use powerful, but very flexible, tools, frequently referred to as Kolmogorov-Zurbenko Filters. The main construction of these tools is derived from spectral concepts where natural laws occur. Rather than forcing models on data, they allow us to discover the nature of phenomena hidden within the data. The methods outlined here are capable of obtaining accurate results within very noisy environments. Their extremely accurate spectral diagnostics permits the separation of different sources of influences within the data. Treating each source separately can achieve highly accurate explanations of the total picture. For example, this approach is able to identify the most dangerous moments and locations for hurricanes and tornados.

Digital Spectral Analysis

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Author : Francis Castanié
Publisher : John Wiley & Sons
ISBN 13 : 1118601831
Total Pages : 297 pages
Book Rating : 4.1/5 (186 download)

Book Synopsis Digital Spectral Analysis by : Francis Castanié

Download or read book Digital Spectral Analysis written by Francis Castanié and published by John Wiley & Sons. This book was released on 2013-02-04 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Spectral analysis methods for noisy sampled-data systems

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Author : Steve F. Russell
Publisher : Steve F. Russell
ISBN 13 :
Total Pages : 500 pages
Book Rating : 4./5 ( download)

Book Synopsis Spectral analysis methods for noisy sampled-data systems by : Steve F. Russell

Download or read book Spectral analysis methods for noisy sampled-data systems written by Steve F. Russell and published by Steve F. Russell. This book was released on 1978-08-15 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation covers both the theory and practice of estimating the spectrum of signals in noise using digital data. The theory of describing some of the signal processing concepts for digital data are given and various spectral estimation methods are given. The theory of MEM is described in detail using approaches from estimation theory, communication theory, and statistics. The work was intended to give researchers the theory and practice of practical means of spectral estimation using communications or scientific data. The Maximum Entropy Method by John Parker Burg is explained from what was known in 1974-75. KEY WORDS: Calculus-of-Variations, Data Systems, Noise , Spectrum Analysis, Time Series Analysis, Autocorrelation, Computer Programs, Data Windowing, Ergodic Process, Maximum Entropy Method (MEM, Fourier Transformation, Optimum Order of Estimation, Sampling, Spectral Resolution, Statistical Significance Test, Systems Analysis, Wiener-Khinchine Theorem. From The Smithsonian/NASA Astrophysics Data System -- The practical aspects of spectral analysis are contrasted with the mathematical theory. Treatment is limited to ergodic processes and emphasizes data window and noise effects. The Discrete Fourier Transform (DFT) and Maximum Entropy Method (MEM) are covered extensively both in theory and application with FORTRAN programs and many examples being provided. Several of the chapters are tutorial and discuss the important topics of sampling theory and system analysis. Topics on MEM include a complete calculus-of-variations solution, relationship between MEM and the Wiener-Khinchine relations, spectral resolution, and choosing the optimum order of the estimation. DFT leakage effects are modeled. A statistical significance test was developed to determine the realness of a spectral component. Keywords: Data Systems, Noise (Sound), Spectrum Analysis, Time Series Analysis, Autocorrelation, Computer Programs, Ergodic Process, Fourier Transformation, Sampling, Systems Analysis [less]

Scientific and Technical Aerospace Reports

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Author :
Publisher :
ISBN 13 :
Total Pages : 704 pages
Book Rating : 4.:/5 (31 download)

Book Synopsis Scientific and Technical Aerospace Reports by :

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Technical Abstract Bulletin

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Author :
Publisher :
ISBN 13 :
Total Pages : 952 pages
Book Rating : 4.E/5 ( download)

Book Synopsis Technical Abstract Bulletin by :

Download or read book Technical Abstract Bulletin written by and published by . This book was released on 1968 with total page 952 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Modern Spectrum Analysis of Time Series

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Author : Prabhakar S. Naidu
Publisher : CRC Press
ISBN 13 : 9780849324642
Total Pages : 424 pages
Book Rating : 4.3/5 (246 download)

Book Synopsis Modern Spectrum Analysis of Time Series by : Prabhakar S. Naidu

Download or read book Modern Spectrum Analysis of Time Series written by Prabhakar S. Naidu and published by CRC Press. This book was released on 1995-10-25 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spectrum analysis can be considered as a topic in statistics as well as a topic in digital signal processing (DSP). This book takes a middle course by emphasizing the time series models and their impact on spectrum analysis. The text begins with elements of probability theory and goes on to introduce the theory of stationary stochastic processes. The depth of coverage is extensive. Many topics of concern to spectral characterization of Gaussian and non-Gaussian time series, scalar and vector time series are covered. A section is devoted to the emerging areas of non-stationary and cyclostationary time series. The book is organized more as a textbook than a reference book. Each chapter includes many examples to illustrate the concepts described. Several exercises are included at the end of each chapter. The level is appropriate for graduate and research students.

Positive Trigonometric Polynomials and Signal Processing Applications

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Author : Bogdan Dumitrescu
Publisher : Springer
ISBN 13 : 3319536885
Total Pages : 282 pages
Book Rating : 4.3/5 (195 download)

Book Synopsis Positive Trigonometric Polynomials and Signal Processing Applications by : Bogdan Dumitrescu

Download or read book Positive Trigonometric Polynomials and Signal Processing Applications written by Bogdan Dumitrescu and published by Springer. This book was released on 2017-03-20 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the main recent results on positive trigonometric polynomials within a unitary framework. The book has two parts: theory and applications. The theory of sum-of-squares trigonometric polynomials is presented unitarily based on the concept of Gram matrix (extended to Gram pair or Gram set). The applications part is organized as a collection of related problems that use systematically the theoretical results.

Data Adaptive Spectral Analysis Methods

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Author : Richard T. Lacoss
Publisher :
ISBN 13 :
Total Pages : 15 pages
Book Rating : 4.:/5 (656 download)

Book Synopsis Data Adaptive Spectral Analysis Methods by : Richard T. Lacoss

Download or read book Data Adaptive Spectral Analysis Methods written by Richard T. Lacoss and published by . This book was released on 1971 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advanced Signal Processing Handbook

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Author : Stergios Stergiopoulos
Publisher : CRC Press
ISBN 13 : 1351369458
Total Pages : 752 pages
Book Rating : 4.3/5 (513 download)

Book Synopsis Advanced Signal Processing Handbook by : Stergios Stergiopoulos

Download or read book Advanced Signal Processing Handbook written by Stergios Stergiopoulos and published by CRC Press. This book was released on 2017-09-08 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in digital signal processing algorithms and computer technology have combined to produce real-time systems with capabilities far beyond those of just few years ago. Nonlinear, adaptive methods for signal processing have emerged to provide better array gain performance, however, they lack the robustness of conventional algorithms. The challenge remains to develop a concept that exploits the advantages of both-a scheme that integrates these methods in practical, real-time systems. The Advanced Signal Processing Handbook helps you meet that challenge. Beyond offering an outstanding introduction to the principles and applications of advanced signal processing, it develops a generic processing structure that takes advantage of the similarities that exist among radar, sonar, and medical imaging systems and integrates conventional and nonlinear processing schemes.

Array Signal Processing

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Author : S. Unnikrishna Pillai
Publisher : Springer Science & Business Media
ISBN 13 : 1461236320
Total Pages : 230 pages
Book Rating : 4.4/5 (612 download)

Book Synopsis Array Signal Processing by : S. Unnikrishna Pillai

Download or read book Array Signal Processing written by S. Unnikrishna Pillai and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended as an introduction to array signal process ing, where the principal objectives are to make use of the available multiple sensor information in an efficient manner to detect and possi bly estimate the signals and their parameters present in the scene. The advantages of using an array in place of a single receiver have extended its applicability into many fields including radar, sonar, com munications, astronomy, seismology and ultrasonics. The primary emphasis here is to focus on the detection problem and the estimation problem from a signal processing viewpoint. Most of the contents are derived from readily available sources in the literature, although a cer tain amount of original material has been included. This book can be used both as a graduate textbook and as a reference book for engineers and researchers. The material presented here can be readily understood by readers having a back ground in basic probability theory and stochastic processes. A prelim inary course in detection and estimation theory, though not essential, may make the reading easy. In fact this book can be used in a one semester course following probability theory and stochastic processes.

Audio Engineer's Reference Book

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Author : Michael Talbot-Smith
Publisher : Taylor & Francis
ISBN 13 : 1136119736
Total Pages : 674 pages
Book Rating : 4.1/5 (361 download)

Book Synopsis Audio Engineer's Reference Book by : Michael Talbot-Smith

Download or read book Audio Engineer's Reference Book written by Michael Talbot-Smith and published by Taylor & Francis. This book was released on 2013-02-01 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative reference on all aspects of audio engineering and technology including basic mathematics and formulae, acoustics and psychoacoustics, microphones, loudspeakers and studio installations. Compiled by an international team of experts, the second edition was updated to keep abreast of fast-moving areas such as digital audio and transmission technology. Much of the material has been revised, updated and expanded to cover the very latest techniques. This is a new paperback version.

High Resolution Spectrum Analysis by Dominant Mode Enhancement

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Author : N. L. Owsley
Publisher :
ISBN 13 :
Total Pages : 5 pages
Book Rating : 4.:/5 (228 download)

Book Synopsis High Resolution Spectrum Analysis by Dominant Mode Enhancement by : N. L. Owsley

Download or read book High Resolution Spectrum Analysis by Dominant Mode Enhancement written by N. L. Owsley and published by . This book was released on 1983 with total page 5 pages. Available in PDF, EPUB and Kindle. Book excerpt: High-resolution, data adaptive spectrum analysis techniques can exploit prior knowledge of the signal dimensionality and noise coherence to obtain even higher resolution capabilities than previously envisioned. The classical minimum variance (maximum likelihood) and maximum entropy (ME) spectrum estimators form the basis for corresponding enhanced estimators which require only a prior knowledge of signal bandwidth to provide resolution which is limited only by observation time. The basic idea is to identify only that portion of the estimated data covariance matrix which corresponds to the coherent signal portion of the analysis data. This can be accomplished alternatively by eigensystem analysis, singular value decomposition and Cholesky factorization of the estimated signal only covariance matrix. In this paper, the dominant mode form of the analysis data covariance matrix is presented along with expression for the readily derived inverse of this matrix. Next, the minimum variance (MV) and ME spectrum estimators in modal decomposition form are developed along with 3 dB down resolution expressions. Finally, the modal MV and ME estimators are applied to passive sensor array processing for source range estimation.

High-resolution Spatial Processing in Underwater Acoustics

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Author : Ronald A. Wagstaff
Publisher :
ISBN 13 :
Total Pages : 448 pages
Book Rating : 4.3/5 (121 download)

Book Synopsis High-resolution Spatial Processing in Underwater Acoustics by : Ronald A. Wagstaff

Download or read book High-resolution Spatial Processing in Underwater Acoustics written by Ronald A. Wagstaff and published by . This book was released on 1985 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Workshop on Higher-Order Spectral Analysis

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Author :
Publisher :
ISBN 13 :
Total Pages : 286 pages
Book Rating : 4.:/5 (318 download)

Book Synopsis Workshop on Higher-Order Spectral Analysis by :

Download or read book Workshop on Higher-Order Spectral Analysis written by and published by . This book was released on 1989 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: