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Author : Mischa Schwartz,Leonard Shaw
Publisher : McGraw-Hill Companies
Page : 414 pages
File Size : 42,5 Mb
Release : 1975
Category : Science
ISBN : UOM:39015028286238
Author : Mischa Schwartz
Publisher : Unknown
Page : 128 pages
File Size : 42,8 Mb
Release : 1979
Category : Signal theory (Telecommunication)
ISBN : OCLC:10680715
Author : Mischa Schwartz,Alvin Grau,Leonard Shaw
Publisher : Unknown
Page : 70 pages
File Size : 50,8 Mb
Release : 1975-01-01
Category : Signal processing
ISBN : 0070241236
Author : S. Lawrence Marple, Jr.
Publisher : Courier Dover Publications
Page : 435 pages
File Size : 48,6 Mb
Release : 2019-03-20
Category : Technology & Engineering
ISBN : 9780486780528
Digital Spectral Analysis offers a broad perspective of spectral estimation techniques and their implementation. Coverage includes spectral estimation of discrete-time or discrete-space sequences derived by sampling continuous-time or continuous-space signals. The treatment emphasizes the behavior of each spectral estimator for short data records and provides over 40 techniques described and available as implemented MATLAB functions. In addition to summarizing classical spectral estimation, this text provides theoretical background and review material in linear systems, Fourier transforms, matrix algebra, random processes, and statistics. Topics include Prony's method, parametric methods, the minimum variance method, eigenanalysis-based estimators, multichannel methods, and two-dimensional methods. Suitable for advanced undergraduates and graduate students of electrical engineering — and for scientific use in the signal processing application community outside of universities — the treatment's prerequisites include some knowledge of discrete-time linear system and transform theory, introductory probability and statistics, and linear algebra. 1987 edition.
Author : Yanwei Wang,Jian Li,Petre Stoica
Publisher : Morgan & Claypool Publishers
Page : 103 pages
File Size : 40,6 Mb
Release : 2006-01-01
Category : Technology & Engineering
ISBN : 9781598290011
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.
Author : Ronald Louis Fante
Publisher : Wiley-Interscience
Page : 472 pages
File Size : 55,7 Mb
Release : 1988
Category : Science
ISBN : UOM:39015012755818
This work introduces the analysis (using Fourier techniques) of continuous and discrete deterministic signals along with both estimation and spectral analysis of random signals. It is divided into two sections. Chapters 1-5 are devoted to the analysis of continuous and discrete deterministic signals, while Chapters 6-9 cover the properties, spectral analysis, and estimation of random signals. In addition, in order to assist readers, examples are liberally included throughout every chapter.
Author : Ralph D. Hippenstiel
Publisher : CRC Press
Page : 215 pages
File Size : 45,5 Mb
Release : 2017-12-19
Category : Technology & Engineering
ISBN : 9781351835947
Using simplified notation and a practical approach, Detection Theory: Applications and Digital Signal Processing introduces the principles of detection theory, the necessary mathematics, and basic signal processing methods along with some recently developed statistical techniques. Throughout the book, the author keeps the needs of practicing engineers firmly in mind. His presentation and choice of topics allows students to quickly become familiar with the detection and signal processing fields and move on to more advanced study and practice. The author also presents many applications and wide-ranging examples that demonstrate how to apply the concepts to real-world problems.
Author : Nirode Mohanty
Publisher : Springer Science & Business Media
Page : 636 pages
File Size : 53,6 Mb
Release : 2012-12-06
Category : Science
ISBN : 9789401170413
The techniques used for the extraction of information from received or ob served signals are applicable in many diverse areas such as radar, sonar, communications, geophysics, remote sensing, acoustics, meteorology, med ical imaging systems, and electronics warfare. The received signal is usually disturbed by thermal, electrical, atmospheric, channel, or intentional inter ferences. The received signal cannot be predicted deterministically, so that statistical methods are needed to describe the signal. In general, therefore, any received signal is analyzed as a random signal or process. The purpose of this book is to provide an elementary introduction to random signal analysis, estimation, filtering, and identification. The emphasis of the book is on the computational aspects as well as presentation of com mon analytical tools for systems involving random signals. The book covers random processes, stationary signals, spectral analysis, estimation, optimiz ation, detection, spectrum estimation, prediction, filtering, and identification. The book is addressed to practicing engineers and scientists. It can be used as a text for courses in the areas of random processes, estimation theory, and system identification by undergraduates and graduate students in engineer ing and science with some background in probability and linear algebra. Part of the book has been used by the author while teaching at State University of New York at Buffalo and California State University at Long Beach. Some of the algorithms presented in this book have been successfully applied to industrial projects.
Author : Simon S. Haykin
Publisher : Unknown
Page : 568 pages
File Size : 54,6 Mb
Release : 1991
Category : Mathematics
ISBN : 0130615404
In this, the third and final volume in the series, ten experts investigate a broad range of topics covering fundamental issues and applications in popular and new algorithms for Spectral Analysis and Array Processing. It covers optimal model-based processing techniques for the detection of multiple narrowband sources; two-dimensional angle estimation; direction-finding algorithms for closely-spaced source scenarios; and the use of neural networks in solving source location problems.
Author : S.Unnikrishna Pillai,Theodore I. Shim
Publisher : Springer Science & Business Media
Page : 337 pages
File Size : 47,9 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461383185
Spectrum estimation refers to analyzing the distribution of power or en ergy with frequency of the given signal, and system identification refers to ways of characterizing the mechanism or system behind the observed sig nal/data. Such an identification allows one to predict the system outputs, and as a result this has considerable impact in several areas such as speech processing, pattern recognition, target identification, seismology, and signal processing. A new outlook to spectrum estimation and system identification is pre sented here by making use of the powerful concepts of positive functions and bounded functions. An indispensable tool in classical network analysis and synthesis problems, positive functions and bounded functions are well and their intimate one-to-one connection with power spectra understood, makes it possible to study many of the signal processing problems from a new viewpoint. Positive functions have been used to study interpolation problems in the past, and although the spectrum extension problem falls within this scope, surprisingly the system identification problem can also be analyzed in this context in an interesting manner. One useful result in this connection is regarding rational and stable approximation of nonrational transfer functions both in the single-channel case and the multichannel case. Such an approximation has important applications in distributed system theory, simulation of systems governed by partial differential equations, and analysis of differential equations with delays. This book is intended as an introductory graduate level textbook and as a reference book for engineers and researchers.
Author : Richard O. Nielsen
Publisher : Artech House Acoustics Library
Page : 392 pages
File Size : 47,5 Mb
Release : 1991
Category : Technology & Engineering
ISBN : UOM:39015021868974
This discussion of sonar signal processing bridges a number of related fields, including acoustic propagation in the medium, detection and estimation theory, filter theory, digital filtering, sensor array processing, spectral analysis, fast transforms and digital signal processing. The book begins with a discussion of the topics of analogue signalling conditioning, digital filtering, and the calculation of the discrete Fourier transform. Other topics discussed include analogue filters and analogue-to-digital conversion, finite impulse and infinite impulse response digital filters, and multirate processing techniques.
Author : Steven M. Kay
Publisher : Unknown
Page : 574 pages
File Size : 55,7 Mb
Release : 1988
Category : Mathematics
ISBN : UOM:39015012442268
Author : Francis Castanié
Publisher : John Wiley & Sons
Page : 297 pages
File Size : 44,9 Mb
Release : 2013-02-04
Category : Mathematics
ISBN : 9781118601839
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 : Nirode Mohanty
Publisher : Springer
Page : 664 pages
File Size : 52,9 Mb
Release : 2013-10-03
Category : Technology & Engineering
ISBN : 9401170460
Signal processing arises in the design of such diverse systems as communications, sonar, radar, electrooptical, navigation, electronic warfare and medical imaging systems. It is also used in many physical sciences, such as geophysics, acoustics, and meteorology, among many others. The common theme is to extract and estimate the desired signals, which are mixed with a variety of noise sources and disturbances. Signal processing involves system analysis, random processes, statistical inferences, and software and hardware implementation. The purpose of this book is to provide an elementary, informal introduction, as well as a comprehensive account of principles of random signal processing, with emphasis on the computational aspects. This book covers linear system analysis, probability theory, random signals, spectral analysis, estimation, filtering, and detection theory. It can be used as a text for a course in signal processing by under graduates and beginning graduate students in engineering and science and also by engineers and scientists engaged in signal analysis, filtering, and detection. Part of the book has been used by the author while teaching at the State University of New York at Buffalo and California State University at Long Beach. An attempt has been made to make the book self-contained and straight forward, with the hope that readers with varied backgrounds can appreciate and apply principles of signal processing. Chapter 1 provides a brief review of linear analysis of deterministic signals.
Author : Chrysostomos L. Nikias,Athina P. Petropulu
Publisher : Prentice Hall
Page : 570 pages
File Size : 43,5 Mb
Release : 1993
Category : Science
ISBN : UOM:39015064349890
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.
