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Study Of A Class Of Non Gaussian Signal Processing Problems
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Book Synopsis Study of a Class of Non-Gaussian Signal Processing Problems by : C. H. Chen
Download or read book Study of a Class of Non-Gaussian Signal Processing Problems written by C. H. Chen and published by . This book was released on 1980 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gaussian assumption has been a fundamental one in most statistical signal processing work. The assumption not only simplifies the analytical problems involved but also matches the data characteristics in many cases because of the law of large numbers. In a number of Navy sonar, radar and communications systems, signal processing algorithms must be developed without the Gaussian assumption. (Author).
Book Synopsis Topics in Non-Gaussian Signal Processing by : Edward J. Wegman
Download or read book Topics in Non-Gaussian Signal Processing written by Edward J. Wegman and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Non-Gaussian Signal Processing is a child of a technological push. It is evident that we are moving from an era of simple signal processing with relatively primitive electronic cir cuits to one in which digital processing systems, in a combined hardware-software configura. tion, are quite capable of implementing advanced mathematical and statistical procedures. Moreover, as these processing techniques become more sophisticated and powerful, the sharper resolution of the resulting system brings into question the classic distributional assumptions of Gaussianity for both noise and signal processes. This in turn opens the door to a fundamental reexamination of structure and inference methods for non-Gaussian sto chastic processes together with the application of such processes as models in the context of filtering, estimation, detection and signal extraction. Based on the premise that such a fun damental reexamination was timely, in 1981 the Office of Naval Research initiated a research effort in Non-Gaussian Signal Processing under the Selected Research Opportunities Program.
Book Synopsis A Bibliography on Non-Gaussian Signal Processing: 1971-1980 by : W. W. Chen
Download or read book A Bibliography on Non-Gaussian Signal Processing: 1971-1980 written by W. W. Chen and published by . This book was released on 1980 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: As described in a recent report, 'Study of a Class of Non-Gaussian Signal Processing Problems' by C.H. Chen, non-Gaussian signal processing is an area of both theoretical and practical importance. This Bibliography is prepared according to the above outline of problem areas. Only the last ten years' publications are selected. It is not possible to list all relevant publications even for a ten year period. However, at least some representative literatures are included in each topic. All publications listed are unclassified. Each reference is listed only once in the report. References are arranged in the first author's alphabetical order. (Author).
Book Synopsis Spectra and Covariances for "classical" Nonlinear Signal Processing Problems Involving Class A Non-Gaussian Noise by : Albert H. Nuttall
Download or read book Spectra and Covariances for "classical" Nonlinear Signal Processing Problems Involving Class A Non-Gaussian Noise written by Albert H. Nuttall and published by . This book was released on 1991 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Nonlinear Signal Processing by : Gonzalo R. Arce
Download or read book Nonlinear Signal Processing written by Gonzalo R. Arce and published by John Wiley & Sons. This book was released on 2005-01-03 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonlinear Signal Processing: A Statistical Approach focuses on unifying the study of a broad and important class of nonlinear signal processing algorithms which emerge from statistical estimation principles, and where the underlying signals are non-Gaussian, rather than Gaussian, processes. Notably, by concentrating on just two non-Gaussian models, a large set of tools is developed that encompass a large portion of the nonlinear signal processing tools proposed in the literature over the past several decades. Key features include: * Numerous problems at the end of each chapter to aid development and understanding * Examples and case studies provided throughout the book in a wide range of applications bring the text to life and place the theory into context * A set of 60+ MATLAB software m-files allowing the reader to quickly design and apply any of the nonlinear signal processing algorithms described in the book to an application of interest is available on the accompanying FTP site.
Book Synopsis Performance of Non-Gaussian Distribution Based Communication and Compressed Sensing Systems by : Hwan Joon Kwon
Download or read book Performance of Non-Gaussian Distribution Based Communication and Compressed Sensing Systems written by Hwan Joon Kwon and published by . This book was released on 2013 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gaussian distribution is often assumed for the signals in the analysis of and in the design of communication systems and signal processing systems, although Gaussian signals can never be realized in practice. Indeed, Gaussian distribution has proven optimal in many problems of communication and signal processing, e.g., the channel input with a Gaussian distribution achieves the channel capacity of a communication channel. Moreover, many problems of communication and signal processing are mathematically tractable when the Gaussian signal distribution is assumed. This dissertation is concerned with the performance of the systems (or algorithms) in which the actual signal distribution is not Gaussian. In particular, we study the performance loss of an optimal system with non-Gaussian signals in comparison with the system performance with the optimal Gaussian signals. In addition, when the actual signal distribution is non-Gaussian, we investigate the performance of the practical algorithm that has been derived under the assumption that the signal distribution is Gaussian. Two well-known problems in communication and signal processing are investigated. First, we study a communication problem, in particular, the power allocation problem that minimizes the outage probability over a slow Rayleigh fading channel or maximizes the mutual information over a fast Rayleigh fading channel, where the channel input is equiprobable QAM signal constellations. The mercury/water-filling (MWF) power allocation is optimal for this problem, while the water-filling (WF) power allocation is optimal if the channel input is Gaussian rather than QAM signals. We show that WF performs close to MWF as long as the constellation size is appropriately chosen, more specifically, the MWF performance itself is not limited by having too small a constellation size. In addition, we study a simple practical power allocation policy, uniform power allocation with thresholding (UPAT) that assigns nonzero constant power only to a subset of the fading blocks. The UPAT can significantly alleviate the feedback overhead and the complexity compared to MWF and WF. We show that the optimal UPAT, namely, the UPAT with the optimal threshold, performs close to MWF as long as the constellation size is large enough. Next, we study a signal processing problem, in particular, the asymptotic performance limits of reliably recovering the support of block-sparse signals (including scalar-sparse signals as a special class) through an arbitrarily distributed random measurement matrix (including Gaussian) in a noisy setting. Sharp sufficient and necessary conditions for asymptotically reliable support recovery are derived in terms of the signal dimension, the number of nonzero blocks, the block size, the number of measurements, the distribution of the random measurement matrix, and signal-to-noise ratio (SNR) of each nonzero block. The results reveal the effect of the distribution of the random measurement matrix on the number of measurements required for asymptotically reliable support recovery. They also unveil how much we can potentially reduce the number of measurements required for asymptotically reliable support recovery, when a signal is block-sparse and its structure is known, by making use of the block-sparsity structure compared to treating the signal as being scalar-sparse.
Book Synopsis Spectra and Covariances for "classical" Nonlinear Signal Processing Problems Involving Class A Non-Gaussian Noise by : Albert H. Nuttall
Download or read book Spectra and Covariances for "classical" Nonlinear Signal Processing Problems Involving Class A Non-Gaussian Noise written by Albert H. Nuttall and published by . This book was released on 1991 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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:
Book Synopsis Signal Detection in Non-Gaussian Noise by : Saleem A. Kassam
Download or read book Signal Detection in Non-Gaussian Noise written by Saleem A. Kassam and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a unified treatment of a class of problems of signal detection theory. This is the detection of signals in addi tive noise which is not required to have Gaussian probability den sity functions in its statistical description. For the most part the material developed here can be classified as belonging to the gen eral body of results of parametric theory. Thus the probability density functions of the observations are assumed to be known, at least to within a finite number of unknown parameters in a known functional form. Of course the focus is on noise which is not Gaussian; results for Gaussian noise in the problems treated here become special cases. The contents also form a bridge between the classical results of signal detection in Gaussian noise and those of nonparametric and robust signal detection, which are not con sidered in this book. Three canonical problems of signal detection in additive noise are covered here. These allow between them formulation of a range of specific detection problems arising in applications such as radar and sonar, binary signaling, and pattern recognition and classification. The simplest to state and perhaps the most widely studied of all is the problem of detecting a completely known deterministic signal in noise. Also considered here is the detection random non-deterministic signal in noise. Both of these situa of a tions may arise for observation processes of the low-pass type and also for processes of the band-pass type.
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:
Book Synopsis Applications of Random Process Excursion Analysis by : Irina S. Brainina
Download or read book Applications of Random Process Excursion Analysis written by Irina S. Brainina and published by Newnes. This book was released on 2013-07-11 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses one of the key problems in signal processing, the problem of identifying statistical properties of excursions in a random process in order to simplify the theoretical analysis and make it suitable for engineering applications. Precise and approximate formulas are explained, which are relatively simple and can be used for engineering applications such as the design of devices which can overcome the high initial uncertainty of the self-training period. The information presented in the monograph can be used to implement adaptive signal processing devices capable of detecting or recognizing the wanted signals (with a priori unknown statistical properties) against the background noise. The applications presented can be used in a wide range of fields including medicine, radiolocation, telecommunications, surface quality control (flaw detection), image recognition, thermal noise analysis for the design of semiconductors, and calculation of excessive load in mechanics. Introduces English-speaking students and researchers in to the results obtained in the former Soviet/ Russian academic institutions within last few decades. Supplies a range of applications suitable for all levels from undergraduate to professional Contains computer simulations
Book Synopsis Issues in Electronic Circuits, Devices, and Materials: 2011 Edition by :
Download or read book Issues in Electronic Circuits, Devices, and Materials: 2011 Edition written by and published by ScholarlyEditions. This book was released on 2012-01-09 with total page 2454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues in Electronic Circuits, Devices, and Materials: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Electronic Circuits, Devices, and Materials. The editors have built Issues in Electronic Circuits, Devices, and Materials: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Electronic Circuits, Devices, and Materials in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Electronic Circuits, Devices, and Materials: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Book Synopsis Scientific and Engineering Studies: Studies in acoustic signal processing by :
Download or read book Scientific and Engineering Studies: Studies in acoustic signal processing written by and published by . This book was released on 1987 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Government Reports Announcements & Index by :
Download or read book Government Reports Announcements & Index written by and published by . This book was released on 1991 with total page 1374 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Book Synopsis Non-Gaussian Random Vibration Fatigue Analysis and Accelerated Test by : Yu Jiang
Download or read book Non-Gaussian Random Vibration Fatigue Analysis and Accelerated Test written by Yu Jiang and published by Springer Nature. This book was released on 2021-09-15 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the theory, method and application of non-Gaussian random vibration fatigue analysis and test. The main contents include statistical analysis method of non-Gaussian random vibration, modeling and simulation of non-Gaussian/non-stationary random vibration, response analysis under non-Gaussian base excitation, non-Gaussian random vibration fatigue life analysis, fatigue reliability evaluation of structural components under Gaussian/non-Gaussian random loadings, non-Gaussian random vibration accelerated test method and application cases. From this book, the readers can not only learn how to reproduce the non-Gaussian vibration environment actually experienced by the product, but also know how to evaluate the fatigue life and reliability of the structure under non-Gaussian random excitation.
Download or read book Technical Abstract Bulletin written by and published by . This book was released on 1980 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt:
