Download or read book Theory of Multirate Statistical Signal Processing microform written by Omid S. (Omid Siuof) Jahromi and published by National Library of Canada = Bibliothèque nationale du Canada. This book was released on 2002 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Multirate Statistical Signal Processing written by Omid S. Jahromi and published by Springer Science & Business Media. This book was released on 2007-05-15 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multirate Statistical Signal Processing introduces a statistical theory for extracting information from related signals with different sampling rates. This new theory generalizes the conventional deterministic theory of multirate systems beyond many of its constraints. Further, it allows for the formulation and solution of new problems: spectrum estimation, time-delay estimation and sensor fusion in the realm of multirate signal processing. This self-contained book presents background material, potential applications and leading-edge research.
Download or read book Theory of Multirate Statistical Signal Processing and Applications written by and published by . This book was released on 2005 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation develops basic theory and applications of statistical multirate signal processing. Specific tools and terminology for describing multirate systems in the time and frequency domains are presented. An optimal multirate estimator is derived in both a direct form and recursive form. The Recursive form of the optimal estimator allows calculation of the relative change in performance when input signals are added or removed from the multirate system. The optimal multirate filtering problem also is specialized to the case of optimal multirate linear prediction. An efficient method for calculating the multirate linear prediction coefficients and error variances is developed through the use of the multichannel Levinson recursion and generalized triangular UL factorization. Finally, a multirate sequential classifier is derived and applied to the problem of target classification. It is shown that classifier parameters needed for implementing the multirate sequential classifier are the same as those for multirate linear prediction. The methods presented in this dissertation are useful for multisensor fusion particularly when the sensors are operating at different rates.
Download or read book An Introduction to Statistical Signal Processing written by Robert M. Gray and published by Cambridge University Press. This book was released on 2004-12-02 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to specific applications in communications and signal processing using a range of carefully chosen examples. The book begins with a development of basic probability, random objects, expectation, and second order moment theory followed by a wide variety of examples of the most popular random process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, and other processing of signals are interspersed throughout the book. Hundreds of homework problems are included and the book is ideal for graduate students of electrical engineering and applied mathematics. It is also a useful reference for researchers in signal processing and communications.
Download or read book Statistical Signal Processing of Complex valued Data written by Peter J. Schreier and published by . This book was released on 2010 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Optimal Combining and Detection written by Jinho Choi and published by Cambridge University Press. This book was released on 2010-01-28 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: With signal combining and detection methods now representing a key application of signal processing in communication systems, this book provides a range of key techniques for receiver design when multiple received signals are available. Various optimal and suboptimal signal combining and detection techniques are explained in the context of multiple-input multiple-output (MIMO) systems, including successive interference cancellation (SIC) based detection and lattice reduction (LR) aided detection. The techniques are then analyzed using performance analysis tools. The fundamentals of statistical signal processing are also covered, with two chapters dedicated to important background material. With a carefully balanced blend of theoretical elements and applications, this book is ideal for both graduate students and practising engineers in wireless communications.
Download or read book Fundamentals Of Statistical Signal Processing Estimation Theory written by S.M. Kay and published by . This book was released on 1993 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Theory of Multirate Signal Processing with Application to Signal and Image Reconstruction written by and published by . This book was released on 2005 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal processing methods for signals sampled at di.erent rates are investigated and applied to the problem of signal and image reconstruction or superresolution reconstruction. The problem is approached from the viewpoint of linear mean-square estimation theory and multirate signal processing for one-and twodimensional signals. A new look is taken at multirate system theory in one and two dimensions which provides the framework for these methodologies. A careful analysis of linear optimal .ltering for problems involving di.erent input and output sampling rates is conducted. This results in the development of index mapping techniques that simplify the formulation of Wiener-Hopf equations whose solution determine the optimal .lters. The required filters exhibit periodicity in both one and two dimensions, due to the difference in sampling rates. The reconstruction algorithms developed are applied to one-and two-dimensional reconstruction problems.
Download or read book Fundamentals of Statistical Signal Processing written by Steven M. Kay and published by Pearson Education. This book was released on 2013 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: "For those involved in the design and implementation of signal processing algorithms, this book strikes a balance between highly theoretical expositions and the more practical treatments, covering only those approaches necessary for obtaining an optimal estimator and analyzing its performance. Author Steven M. Kay discusses classical estimation followed by Bayesian estimation, and illustrates the theory with numerous pedagogical and real-world examples."--Cover, volume 1.
Download or read book Multirate and Wavelet Signal Processing written by Bruce W. Suter and published by Elsevier. This book was released on 1997-12-10 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This innovative and in-depth book integrates the well-developed theory and practical applications of one dimensional and multidimensional multirate signal processing. Using a rigorous mathematical framework, it carefully examines the fundamentals of this rapidly growing field. Areas covered include: basic building blocks of multirate signal processing; fundamentals of multidimensional multirate signal processing; multirate filter banks; lossless lattice structures; introduction to wavelet signal processing. Multirate and Wavelet Signal Processing forms the basis for a graduate course in multirate signal processing. It includes an introduction to wavelet signal processing and emphasizes topics of ever-increasing importance for a wide range of applications. Concise and easy-to-read, this book is also a useful primer for professional engineers. - Integrates the well-developed theory and practical applications of one-dimensional and multidimensional multirate signal processing - Emphasizes topics of ever-increasing importance for a wide range of applications - Written in a concise, easy-to-read style - Uses relevant examples - General mathematical formulation permits extensions of concepts to diverse applications, such as speech, imaging, video, and synthetic aperture radar - Emphasizes key topics of the field, allowing the reader to make the most efficient use of time in learning the fundamentals of multirate - Designed to be completely covered in a single semester or quarter
Download or read book Multiscale Signal Analysis and Modeling written by Xiaoping Shen and published by Springer Science & Business Media. This book was released on 2012-09-18 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiscale Signal Analysis and Modeling presents recent advances in multiscale analysis and modeling using wavelets and other systems. This book also presents applications in digital signal processing using sampling theory and techniques from various function spaces, filter design, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and statistical learning theory.
Download or read book Multirate Digital Signal Processing written by N. J. Fliege and published by . This book was released on 1994-09-06 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a thorough and accessible introduction to the fast-growing area of multirate digital signal processing covering both the fundamental theory and the practical applications. The key characteristic of multirate algorithms is their high computational efficiency, and hence their increasing implementation in a range of applications from digital audio broadcasting to multi-carrier data transmission and subband speech coding. This book gives a comprehensive analysis of the subject and features include: * A summary of the key properties of those filters which employ multirate techniques including cascaded multirate filters, multirate complementary filters, and interpolated FIR filters * An assessment of the properties of various digital filter banks, such as quadratur mirror, parunitary, biorthogonal, modulated, polyphase, and multicomplementary filter banks * Design methodologies for multirate filters and filter banks * An examination of the discrete wavelet transform using filter banks, the construction of wavelets and examples of wavelet systems * A complete overview of current applications and a look ahead towards the future developments in the field This book will be invaluable for advanced students in electronics and computer science. It will also be useful for practising electronics and communications engineers and physicists working in industry.
Download or read book Fundamentals of Statistical Signal Processing written by Steven M. Kay and published by . This book was released on 1998 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Fundamentals of Statistical Signal Processing Volume 1 Estimation Theory written by Kay and published by Pearson Education India. This book was released on with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistical Signal Processing written by Edward J. Wegman and published by . This book was released on 1984 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistical Signal Processing written by Swagata Nandi and published by Springer. This book was released on 2021-08-22 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to various signal processing models that have been used in analyzing periodic data, and discusses the statistical and computational methods involved. Signal processing can broadly be considered to be the recovery of information from physical observations. The received signals are usually disturbed by thermal, electrical, atmospheric or intentional interferences, and due to their random nature, statistical techniques play an important role in their analysis. Statistics is also used in the formulation of appropriate models to describe the behavior of systems, the development of appropriate techniques for estimation of model parameters and the assessment of the model performances. Analyzing different real-world data sets to illustrate how different models can be used in practice, and highlighting open problems for future research, the book is a valuable resource for senior undergraduate and graduate students specializing in mathematics or statistics.
Download or read book Multirate Systems and Filter Banks written by P. P. Vaidyanathan and published by Pearson. This book was released on 1993 with total page 936 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a treatment of the fundamentals as well as advancements in the field of multirate signal processing. This text describes both theoretical developments and design tools. It will be useful for graduate courses in multitrate signal processing.
