Fast Algorithms For Signal Processing

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Fast Algorithms for signal processing

Author : Anonim
Publisher : Unknown
Page : 441 pages
File Size : 47,7 Mb
Release : 1985
Category : Electronic
ISBN : OCLC:916162608

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Fast Algorithms for signal processing by Anonim Pdf

Fast Algorithms for Digital Signal Processing

Author : Richard E. Blahut
Publisher : Addison Wesley Publishing Company
Page : 464 pages
File Size : 53,9 Mb
Release : 1985
Category : Mathematics
ISBN : UOM:39015048118247

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Fast Algorithms for Digital Signal Processing by Richard E. Blahut Pdf

Introduction to abstract algebra. Fast algorithms for short convolutions. Fast algorithms for the discrete Fourier transform. Number theory and algebraic field theory. Computation in surrogate fields. Fast algorithms and multidimensional convolutions. Fast algorithms and multidimensional transforms. Architecture of filters and transforms. Fast algorithms based on doubling strategies. Fast algorithms for solving Toeplitz systems. Fast algorithms for Trellis and tree search. A collection of cyclic convolution algorithms. A collection of Winograd small FFT algorithms.

Transforms and Fast Algorithms for Signal Analysis and Representations

Author : Guoan Bi,Yonghong Zeng
Publisher : Springer Science & Business Media
Page : 422 pages
File Size : 45,9 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9780817682200

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Transforms and Fast Algorithms for Signal Analysis and Representations by Guoan Bi,Yonghong Zeng Pdf

This book is a comprehensive presentation of recent results and developments on several widely used transforms and their fast algorithms. In many cases, new options are provided for improved or new fast algorithms, some of which are not well known in the digital signal processing community. The book is suitable as a textbook for senior undergraduate and graduate courses in digital signal processing. It may also serve as an excellent self-study reference for electrical engineers and applied mathematicians whose work is related to the fields of electronics, signal processing, image and speech processing, or digital design and communication.

Fast Algorithms for Signal Processing

Author : Richard E. Blahut
Publisher : Cambridge University Press
Page : 469 pages
File Size : 46,6 Mb
Release : 2010-06-24
Category : Technology & Engineering
ISBN : 9781139487955

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Fast Algorithms for Signal Processing by Richard E. Blahut Pdf

Efficient signal processing algorithms are important for embedded and power-limited applications since, by reducing the number of computations, power consumption can be reduced significantly. Similarly, efficient algorithms are also critical to very large scale applications such as video processing and four-dimensional medical imaging. This self-contained guide, the only one of its kind, enables engineers to find the optimum fast algorithm for a specific application. It presents a broad range of computationally-efficient algorithms, describes their structure and implementation, and compares their relative strengths for given problems. All the necessary background mathematics is included and theorems are rigorously proved, so all the information needed to learn and apply the techniques is provided in one convenient guide. With this practical reference, researchers and practitioners in electrical engineering, applied mathematics, and computer science can reduce power dissipation for low-end applications of signal processing, and extend the reach of high-end applications.

Digital Signal Processing Algorithms

Author : Hari Krishna
Publisher : Routledge
Page : 664 pages
File Size : 49,6 Mb
Release : 2017-11-22
Category : Technology & Engineering
ISBN : 9781351454971

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Digital Signal Processing Algorithms by Hari Krishna Pdf

Digital Signal Processing Algorithms describes computational number theory and its applications to deriving fast algorithms for digital signal processing. It demonstrates the importance of computational number theory in the design of digital signal processing algorithms and clearly describes the nature and structure of the algorithms themselves. The book has two primary focuses: first, it establishes the properties of discrete-time sequence indices and their corresponding fast algorithms; and second, it investigates the properties of the discrete-time sequences and the corresponding fast algorithms for processing these sequences. Digital Signal Processing Algorithms examines three of the most common computational tasks that occur in digital signal processing; namely, cyclic convolution, acyclic convolution, and discrete Fourier transformation. The application of number theory to deriving fast and efficient algorithms for these three and related computationally intensive tasks is clearly discussed and illustrated with examples. Its comprehensive coverage of digital signal processing, computer arithmetic, and coding theory makes Digital Signal Processing Algorithms an excellent reference for practicing engineers. The authors' intent to demystify the abstract nature of number theory and the related algebra is evident throughout the text, providing clear and precise coverage of the quickly evolving field of digital signal processing.

Digital Signal Processing Algorithms

Author : Hari Krishna
Publisher : CRC Press
Page : 676 pages
File Size : 47,6 Mb
Release : 1998-03-25
Category : Technology & Engineering
ISBN : 0849371783

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Digital Signal Processing Algorithms by Hari Krishna Pdf

Digital Signal Processing Algorithms describes computational number theory and its applications to deriving fast algorithms for digital signal processing. It demonstrates the importance of computational number theory in the design of digital signal processing algorithms and clearly describes the nature and structure of the algorithms themselves. The book has two primary focuses: first, it establishes the properties of discrete-time sequence indices and their corresponding fast algorithms; and second, it investigates the properties of the discrete-time sequences and the corresponding fast algorithms for processing these sequences. Digital Signal Processing Algorithms examines three of the most common computational tasks that occur in digital signal processing; namely, cyclic convolution, acyclic convolution, and discrete Fourier transformation. The application of number theory to deriving fast and efficient algorithms for these three and related computationally intensive tasks is clearly discussed and illustrated with examples. Its comprehensive coverage of digital signal processing, computer arithmetic, and coding theory makes Digital Signal Processing Algorithms an excellent reference for practicing engineers. The authors' intent to demystify the abstract nature of number theory and the related algebra is evident throughout the text, providing clear and precise coverage of the quickly evolving field of digital signal processing.

Computational Number Theory and Digital Signal Processing

Author : Hari Krishna,Bal Krishna,Kuo-Yu Lin,Jenn-Dong Sun
Publisher : CRC Press
Page : 352 pages
File Size : 48,6 Mb
Release : 1994-08-16
Category : Technology & Engineering
ISBN : 0849371775

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Computational Number Theory and Digital Signal Processing by Hari Krishna,Bal Krishna,Kuo-Yu Lin,Jenn-Dong Sun Pdf

Military service involves exposure to multiple sources of chronic, acute, and potentially traumatic stress, especially during deployment and combat. Notoriously variable, the effects of stress can be subtle to severe, immediate or delayed, impairing individual and group readiness, operational performance, and—ultimately—survival. A comprehensive compilation on the state of the science, Biobehavioral Resilience to Stress identifies key factors and characteristics that are essential to a scientifically useful and behaviorally predictive understanding of resilience to stress. Contributions from Uniquely Qualified Military and Civilian Experts Initiated by the Military Operational Medicine Research Directorate of the US Army Medical Research and Material Command (USAMRMC), this seminal volume integrates recent research and experience from military and civilian experts in behavioral and social sciences, human performance, and physiology. Each chapter is grounded in vigorous research with emphasis on relevance to a variety of real-world operations and settings, including extreme environments encountered in modern war. Logical Progression, Cross-Disciplinary Appeal Organized into four sections, the text begins with a discussion of the relevant aspects of stress in the context of military life to offer civilian readers a window into contemporary military priorities. Later chapters consider biological, physiological, and genetic factors, psychosocial aspects of resilience, and “community capacity” variables that influence psychological responses to stressful events. This multidisciplinary effort concludes with an overview of emergent themes and related issues to advance the science of resilience toward predictive research, theory, and application for all those—military and civilian—who serve in the national defense.

Fast Fourier Transforms

Author : C. Sidney Burrus
Publisher : Lulu.com
Page : 256 pages
File Size : 49,7 Mb
Release : 2012-11-30
Category : Technology & Engineering
ISBN : 9781300461647

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Fast Fourier Transforms by C. Sidney Burrus Pdf

This book uses an index map, a polynomial decomposition, an operator factorization, and a conversion to a filter to develop a very general and efficient description of fast algorithms to calculate the discrete Fourier transform (DFT). The work of Winograd is outlined, chapters by Selesnick, Pueschel, and Johnson are included, and computer programs are provided.

Fast Fourier Transform - Algorithms and Applications

Author : K.R. Rao,Do Nyeon Kim,Jae Jeong Hwang
Publisher : Springer Science & Business Media
Page : 437 pages
File Size : 42,6 Mb
Release : 2011-02-21
Category : Mathematics
ISBN : 9781402066290

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Fast Fourier Transform - Algorithms and Applications by K.R. Rao,Do Nyeon Kim,Jae Jeong Hwang Pdf

This book presents an introduction to the principles of the fast Fourier transform. This book covers FFTs, frequency domain filtering, and applications to video and audio signal processing. As fields like communications, speech and image processing, and related areas are rapidly developing, the FFT as one of essential parts in digital signal processing has been widely used. Thus there is a pressing need from instructors and students for a book dealing with the latest FFT topics. This book provides thorough and detailed explanation of important or up-to-date FFTs. It also has adopted modern approaches like MATLAB examples and projects for better understanding of diverse FFTs.

Advances in Signal Processing

Author : Margarita Favorskaya,Lakhmi C. Jain
Publisher : Springer Nature
Page : 158 pages
File Size : 54,5 Mb
Release : 2020-03-19
Category : Technology & Engineering
ISBN : 9783030403126

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Advances in Signal Processing by Margarita Favorskaya,Lakhmi C. Jain Pdf

This book attempts to improve algorithms by novel theories and complex data analysis in different scopes including object detection, remote sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. The book is directed to the Ph.D. students, professors, researchers, and software developers working in the areas of digital video processing and computer vision technologies.

Fast Algorithms for the Digital Computation of Linear Canonical Transforms

Author : Aykut Koc
Publisher : Stanford University
Page : 173 pages
File Size : 44,5 Mb
Release : 2011
Category : Electronic
ISBN : STANFORD:fq782pt6225

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Fast Algorithms for the Digital Computation of Linear Canonical Transforms by Aykut Koc Pdf

Although it is straightforward to determine the relationship between the in-focus image and the object of a simple optical system such as a lens, it is far more challenging to compute the input/output relationships of general first-order and astigmatic optical systems. Such optical systems are known as quadratic-phase systems (QPS) and they include the Fresnel propagation in free space, propagation in graded-index media, passage through thin lenses, and arbitrary concatenations of any number of these, including anamorphic, astigmatic, nonorthogonal elements. Such computation is accomplished by representing the physical system with a general mathematical framework of integrations against kernels and then distilling the entire system into one input-output relationship that can be represented by a linear integral transform. The underlying mathematical integral transforms can be applied to a wider field of signal processing where they are known as the linear canonical transform (LCT) of a signal. Conventional numerical integration methods have a computational complexity of O(N^2) where N is the space-bandwidth product of the sampling scheme, e.g. the number of pixels in the field for an optical system. The algorithms described here yield a complexity of only O(Nlog N). The key is the use of different decompositions (or factorizations) of a given input/output relationship into simpler ones. Instead of following the general physical subparts in cascaded systems and computing input-output relations separately, these algorithms use the simplest possible decompositions to represent the entire system in terms of least possible number of steps. The algorithms are Fast Fourier Transform (FFT) based methods and the only essential deviation from exactness arises from approximating a continuous Fourier transform (FT) with the discrete Fourier transform (DFT). Thus the algorithms work with a performance similar to that of the fast Fourier transform algorithm in computing the Fourier transform, both in terms of speed and accuracy. Unlike conventional techniques these algorithms also track and control the space-bandwidth products, in order to achieve information that is theoretically sufficient but not wastefully redundant.

Algorithms for Discrete Fourier Transform and Convolution

Author : Richard Tolimieri,Myoung An,Chao Lu
Publisher : Unknown
Page : 368 pages
File Size : 43,8 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 1475738552

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Algorithms for Discrete Fourier Transform and Convolution by Richard Tolimieri,Myoung An,Chao Lu Pdf

Algebraic Methods for Signal Processing and Communications Coding

Author : Richard E. Blahut
Publisher : Springer Science & Business Media
Page : 150 pages
File Size : 42,8 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461228264

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Algebraic Methods for Signal Processing and Communications Coding by Richard E. Blahut Pdf

Algorithms for computation are a central part of both digital signal pro cessing and decoders for error-control codes and the central algorithms of the two subjects share many similarities. Each subject makes extensive use of the discrete Fourier transform, of convolutions, and of algorithms for the inversion of Toeplitz systems of equations. Digital signal processing is now an established subject in its own right; it no longer needs to be viewed as a digitized version of analog signal process ing. Algebraic structures are becoming more important to its development. Many of the techniques of digital signal processing are valid in any algebraic field, although in most cases at least part of the problem will naturally lie either in the real field or the complex field because that is where the data originate. In other cases the choice of field for computations may be up to the algorithm designer, who usually chooses the real field or the complex field because of familiarity with it or because it is suitable for the particular application. Still, it is appropriate to catalog the many algebraic fields in a way that is accessible to students of digital signal processing, in hopes of stimulating new applications to engineering tasks.

Algorithms for Statistical Signal Processing

Author : John G. Proakis
Publisher : Unknown
Page : 584 pages
File Size : 50,7 Mb
Release : 2002
Category : Computers
ISBN : UOM:39015053184167

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Algorithms for Statistical Signal Processing by John G. Proakis Pdf

Keeping pace with the expanding, ever more complex applications of DSP, this authoritative presentation of computational algorithms for statistical signal processing focuses on "advanced topics" ignored by other books on the subject. Algorithms for Convolution and DFT. Linear Prediction and Optimum Linear Filters. Least-Squares Methods for System Modeling and Filter Design. Adaptive Filters. Recursive Least-Squares Algorithms for Array Signal Processing. QRD-Based Fast Adaptive Filter Algorithms. Power Spectrum Estimation. Signal Analysis with Higher-Order Spectra. For Electrical Engineers, Computer Engineers, Computer Scientists, and Applied Mathematicians.