Orthogonal Transforms for Digital Signal Processing

Orthogonal Transforms for Digital Signal Processing PDF

Author: N. Ahmed

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 274

ISBN-13: 364245450X

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This book is intended for those wishing to acquire a working knowledge of orthogonal transforms in the area of digital signal processing. The authors hope that their introduction will enhance the opportunities for interdiscipli nary work in this field. The book consists of ten chapters. The first seven chapters are devoted to the study of the background, motivation and development of orthogonal transforms, the prerequisites for which are a basic knowledge of Fourier series transform (e.g., via a course in differential equations) and matrix al gebra. The last three chapters are relatively specialized in that they are di rected toward certain applications of orthogonal transforms in digital signal processing. As such, a knowlegde of discrete probability theory is an essential additional prerequisite. A basic knowledge of communication theory would be helpful, although not essential. Much of the material presented here has evolved from graduate level courses offered by the Departments of Electrical Engineering at Kansas State University and the University of Texas at Arlington, during the past five years. With advanced graduate students, all the material was covered in one semester. In the case of first year graduate students, the material in the first seven chapters was covered in one semester. This was followed by a prob lems project-oriented course directed toward specific applications, using the material in the last three chapters as a basis.

Introduction to Orthogonal Transforms

Introduction to Orthogonal Transforms PDF

Author: Ruye Wang

Publisher: Cambridge University Press

Published: 2012-03-08

Total Pages: 591

ISBN-13: 0521516889

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A systematic, unified treatment of orthogonal transform methods that guides the reader from mathematical theory to problem solving in practice.

Applied Digital Signal Processing

Applied Digital Signal Processing PDF

Author: Dimitris G. Manolakis

Publisher: Cambridge University Press

Published: 2011-11-21

Total Pages: 1009

ISBN-13: 1139495739

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Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoretical importance or useful in real-world applications ensures that students cover material relevant to engineering practice, and equips students and practitioners alike with the basic principles necessary to apply DSP techniques to a variety of applications. Chapters include worked examples, problems and computer experiments, helping students to absorb the material they have just read. Lecture slides for all figures and solutions to the numerous problems are available to instructors.

Effectiveness of Orthogonal Transforms in Information Processing Applications

Effectiveness of Orthogonal Transforms in Information Processing Applications PDF

Author: Judea Pearl

Publisher:

Published: 1973

Total Pages: 14

ISBN-13:

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The effectiveness of using orthonormal transform methods in digital signal processing application was analyzed. (1) Standard tools and analytic measures for comparing the performance of orthonormal transforms under specified as well as partially known statistics are developed for data filtering and coding. (2) Signal uncertainty relations are generalized to cover discrete as well as non-trigonometric transforms. (3) The effectiveness of Fourier and Walsh transforms is compared for radar velocity estimation and target detection. (4) The discrete Fourier transform is proved to be asymptotically performance degradation due to residual cross-correlation among Fourier coefficients are developed for finite N. (5) Necessary and sufficient conditions for two transforms to be asymptotically equivalent are developed and bounds on the worst case performance difference are derived. (Author).

Transforms for Engineers

Transforms for Engineers PDF

Author: K. G. Beauchamp

Publisher: Oxford University Press, USA

Published: 1987

Total Pages: 296

ISBN-13:

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Provides a guide to signal-processing techniques and a wide variety of applications. It shows the range and use of the many alternative fast orthogonal transform algorithms now becoming available.

Digital Signal Processing 101

Digital Signal Processing 101 PDF

Author: Michael Parker

Publisher: Newnes

Published: 2017-06-28

Total Pages: 434

ISBN-13: 0128114541

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Digital Signal Processing 101: Everything You Need to Know to Get Started provides a basic tutorial on digital signal processing (DSP). Beginning with discussions of numerical representation and complex numbers and exponentials, it goes on to explain difficult concepts such as sampling, aliasing, imaginary numbers, and frequency response. It does so using easy-to-understand examples with minimum mathematics. In addition, there is an overview of the DSP functions and implementation used in several DSP-intensive fields or applications, from error correction to CDMA mobile communication to airborne radar systems. This book has been updated to include the latest developments in Digital Signal Processing, and has eight new chapters on: Automotive Radar Signal Processing Space-Time Adaptive Processing Radar Field Orientated Motor Control Matrix Inversion algorithms GPUs for computing Machine Learning Entropy and Predictive Coding Video compression Features eight new chapters on Automotive Radar Signal Processing, Space-Time Adaptive Processing Radar, Field Orientated Motor Control, Matrix Inversion algorithms, GPUs for computing, Machine Learning, Entropy and Predictive Coding, and Video compression Provides clear examples and a non-mathematical approach to get you up to speed quickly Includes an overview of the DSP functions and implementation used in typical DSP-intensive applications, including error correction, CDMA mobile communication, and radar systems

Digital Signal Processing and Statistical Classification

Digital Signal Processing and Statistical Classification PDF

Author: George J. Miao

Publisher: Artech House

Published: 2002

Total Pages: 522

ISBN-13: 9781580531351

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This is the first book to introduce and integrate advanced digital signal processing (DSP) and classification together, and the only volume to introduce state-of-the-art transforms including DFT, FFT, DCT, DHT, PCT, CDT, and ODT together for DSP and communication applications. You get step-by-step guidance in discrete-time domain signal processing and frequency domain signal analysis; digital filter design and adaptive filtering; multirate digital processing; and statistical signal classification. It also helps you overcome problems associated with multirate A/D and D/A converters.

Signal Processing with Lapped Transforms

Signal Processing with Lapped Transforms PDF

Author: Henrique S. Malvar

Publisher: Artech House Telecommunication

Published: 1992

Total Pages: 392

ISBN-13:

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This reference provides an in-depth discussion of the theory and application of lapped transforms (LTs). It explains how LTs can lead to a better complexity/performance trade-off than other transforms or filter bands used in signal processing. The text addresses the increased use LTs, especially with HDTV and how they may become the standard for high-quality audio coding.