[PDF] State Space Methods In Multidimensional Digital Signal Processing eBook

Author :
Publisher :
Page : 39 pages
File Size : 10,64 MB
Release : 1991
Category :
ISBN :

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This report summarizes the results of an extensive research program on the real-time implementation of multidimensional (M-D) digital signal processing algorithms. We began our study on the efficient implementation of M-D digital filters. We mapped the M-D digital filter to a state space model because the state space model supports local data communications. We studied various approaches to implementing the state space model for M-D digital signal processing applications. We found that the best approach involves mapping the state space model onto a generalized linear finite state machine which facilitates the hardware implementation. Using this approach, we were able to develop a multiprocessor system architecture which is scalable, which is modular, and which has a high efficiency. Based upon these results, we developed the architecture for an application specific computing system which we call a Block Data Flow Architecture (BDFA). We are currently studying the mapping of several other M-D signal processing algorithms and matrix operations to the BDFA. These studies show that multiprocessor systems using the BDFA can achieve high throughput and high efficiency at a modest cost.

Author :
Publisher : Elsevier
Page : 455 pages
File Size : 48,28 MB
Release : 1995-07-13
Category : Technology & Engineering
ISBN : 0080529852

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Praise for Previous Volumes "This book will be a useful reference to control engineers and researchers. The papers contained cover well the recent advances in the field of modern control theory." -IEEE CONTROL CORRESPONDANCE " This book will help all those researchers wjo valiantly try to keep abreast of what is new in the theory and practice of optimal control." -CONTROL

Author : Krzysztof Galkowski
Publisher : CRC Press
Page : 282 pages
File Size : 42,90 MB
Release : 2001-05-10
Category : Technology & Engineering
ISBN : 0203303407

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Although research on general multidimensional systems theory has been developing rapidly in recent years, this is the first research text to appear on the subject since the early 1980s. The text describes the current state of the art nD systems and sets out a number of open problems, and gives several different perspectives on the subject. It presents a number of different solutions to major theoretical problems as well as some interesting practical results. The book comprises of a selection of plenary and other lectures given at The First International Workshop on Multidimensional (nD) Systems (NDS-98) held in 1998 in Poland, and is written by leading world specialists in the field.

Author : Jose Luis Rojo-Alvarez
Publisher : John Wiley & Sons
Page : 665 pages
File Size : 36,22 MB
Release : 2018-02-05
Category : Technology & Engineering
ISBN : 1118611799

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A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to communications, multimedia, and biomedical engineering systems Digital Signal Processing with Kernel Methods reviews the milestones in the mixing of classical digital signal processing models and advanced kernel machines statistical learning tools. It explains the fundamental concepts from both fields of machine learning and signal processing so that readers can quickly get up to speed in order to begin developing the concepts and application software in their own research. Digital Signal Processing with Kernel Methods provides a comprehensive overview of kernel methods in signal processing, without restriction to any application field. It also offers example applications and detailed benchmarking experiments with real and synthetic datasets throughout. Readers can find further worked examples with Matlab source code on a website developed by the authors: http://github.com/DSPKM • Presents the necessary basic ideas from both digital signal processing and machine learning concepts • Reviews the state-of-the-art in SVM algorithms for classification and detection problems in the context of signal processing • Surveys advances in kernel signal processing beyond SVM algorithms to present other highly relevant kernel methods for digital signal processing An excellent book for signal processing researchers and practitioners, Digital Signal Processing with Kernel Methods will also appeal to those involved in machine learning and pattern recognition.

Author : Dan E. Dudgeon
Publisher : Prentice Hall
Page : 424 pages
File Size : 33,63 MB
Release : 1984
Category : Technology & Engineering
ISBN :

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Multidimensional signals and systems. Discrete fourier analysis of multidimensional signals. Design and implementation of two-dimensional fir filters. Multidimensional recursive systems. Design and implementation of two-dimensional iir filters. Processing signals carried by propagation waves. Inverse problems.

Author : Jose Luis Rojo-Alvarez
Publisher : John Wiley & Sons
Page : 912 pages
File Size : 33,35 MB
Release : 2017-12-27
Category : Technology & Engineering
ISBN : 1118705831

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A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to communications, multimedia, and biomedical engineering systems Digital Signal Processing with Kernel Methods reviews the milestones in the mixing of classical digital signal processing models and advanced kernel machines statistical learning tools. It explains the fundamental concepts from both fields of machine learning and signal processing so that readers can quickly get up to speed in order to begin developing the concepts and application software in their own research. Digital Signal Processing with Kernel Methods provides a comprehensive overview of kernel methods in signal processing, without restriction to any application field. It also offers example applications and detailed benchmarking experiments with real and synthetic datasets throughout. Readers can find further worked examples with Matlab source code on a website developed by the authors: http://github.com/DSPKM • Presents the necessary basic ideas from both digital signal processing and machine learning concepts • Reviews the state-of-the-art in SVM algorithms for classification and detection problems in the context of signal processing • Surveys advances in kernel signal processing beyond SVM algorithms to present other highly relevant kernel methods for digital signal processing An excellent book for signal processing researchers and practitioners, Digital Signal Processing with Kernel Methods will also appeal to those involved in machine learning and pattern recognition.

Author : Rudolf Rabenstein
Publisher : Springer Nature
Page : 514 pages
File Size : 47,64 MB
Release : 2023-07-24
Category : Computers
ISBN : 3031265149

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This book covers the theory of multidimensional signals and systems and related practical aspects. It extends the properties and mathematical tools of one-dimensional signals and systems to multiple dimensions and covers relevant timeless topics including multidimensional transformations, multidimensional sampling as well as discrete multidimensional systems. A special emphasis is placed on physical systems described by partial differential equations, the construction of suitable integral transformations and the implementation of the corresponding discrete-time algorithms. To this end, signal spaces and functional transformations are introduced at a mathematical level provided by undergraduate programs in engineering and science. The presentation takes a comprehensive, illustrative and educational approach without reference to a particular application field. Instead, the book builds a solid theoretical concept of multidimensional signals and systems and shows the application to various problems relevant for practical scenarios.