Математическая физика
• формат pdf
• размер 6.72 МБ
• добавлен 08 декабря 2011 г.
Издательство John Wiley, 2009, -368 pp.

The purpose of this book is to introduce procedures for the analysis of signals and for the solution of inverse problems in engineering and science. The literature on these subjects seldom combines both; however, signal processing and system analysis are intimately interconnected in all real applications. Furthermore, many mathematical techniques are common to both signal processing and inverse problem solving.
Signals and inverse problems are captured in discrete form. The discrete representation is compatible with current instrumentation and computer technology, and brings both signal processing and inverse problem solving to the same mathematical framework of arrays.
Publications on signal processing and inverse problem solving tend to be mathematically involved. This is an introductory book. Its depth and breadth reflect our wish to present clearly and concisely the essential concepts that underlie the most useful procedures readers can implement to address their needs.
Equations and algorithms are introduced in a conceptual manner, often following logical rather than formal mathematical derivations. The mathematically minded or the computer programmer will readily identify analytical derivations or computer-efficient implementations. Our intent is to highlight the intuitive nature of procedures and to emphasize the physical interpretation of all solutions.
The information presented in the text is reviewed in parallel formats. The numerous figures are designed to facilitate the understanding of main concepts. Step-by-step implementation procedures outline computation algorithms. Examples and solved problems demonstrate the application of those procedures. Finally, the summary at the end of each chapter highlights the most important ideas and concepts.
Problem solving in engineering and science is hands-on. As you read each chapter, consider specific problems of your interest. Identify or simulate typical signals, implement equations and algorithms, study their potential and limitations, search the web for similar implementations, explore creative applications . . . , and have fun!
First edition. The first edition of this manuscript was published by the American Society of Civil Engineers in 1998. While the present edition follows a similar structure, it incorporates new information, corrections, and applications. Acknowledgments. We have benefited from the work of numerous authors who contributed to the body of knowledge and affected our understanding. The list of suggested reading at the end of each chapter acknowledges their contributions.

Introduction
Mathematical Concepts
Signals and Systems
Time Domain Analyses of Signals and Systems
Frequency Domain Analysis of Signals (Discrete Fourier Transform)
Frequency Domain Analysis of Systems
Time Variation and Nonlinearity
Concepts in Discrete Inverse Problems
Solution by Matrix Inversion
Other Inversion Methods
Strategy for Inverse Problem Solving
Смотрите также

## Allen R.L., Mills D.W. Signal analysis (Time, frequency, scale, and structure)

• формат pdf
• размер 3.5 МБ
• добавлен 02 декабря 2009 г.
This text provides a complete introduction to signal analysis. Inclusion of fundamental ideas—analog and discrete signals, linear systems, Fourier transforms, and sampling theory—makes it suitable for introductory courses, self-study, and refreshers in the discipline. But along with these basics, Signal Analysis: Time, Frequency, Scale, and Structure gives a running tutorial on functional analysis—the mathematical concepts that generalize linear...

## Chan A.K., Liu S.J. Wavelet Toolware: Software for Wavelat Training

• формат pdf
• размер 4.08 МБ
• добавлен 12 февраля 2011 г.
Academic Press, 1998. - 81 pages. Designed for the reader to gain hands-on experience in the subject of wavelets. This package contains simple signal processing applications, one-dimensional and two-dimensional Discrete Wavelet Transforms (DWTs) and their inverse transforms, and computations of the Continuous Wavelet Transform (CWT) and the Short Time Fourier Transform (STFT). A manual is included to provide the basics of wavelet theory, showing...

## Girod B., Rabenstein R., Stenger A. Signals And Systems

• формат pdf
• размер 38.99 МБ
• добавлен 07 июля 2011 г.
Издательство John Wiley, 2001, -592 pp. Analyzing and designing systems with the help of suitable mathematical tools is extraordinarily important for engineers. Accordingly, systems theory is a part of the core curriculum of modern electrical engineering and serves the foundation of a large number of subdisciplines. Indeed, access to special engineering demands a mastery of systems theory. An introduction to systems theory logically begins with...

## Kassam S.A. Signal Detection in Non Gaussian Noise

• формат pdf
• размер 3.1 МБ
• добавлен 08 декабря 2011 г.
Издательство Springer, 1988, -242 pp. This book contains a unified treatment of a class of problems of signal detection theory. This is the detection of signals in additive noise which is not required to have Gaussian probability density functions in its statistical description. For the most part the material developed here can be classified as belonging to the general body of results of parametric theory. Thus the probability density functions...

## Lee E. Sturcture and interpretation of signals and systems

• формат djvu
• размер 2.64 МБ
• добавлен 21 октября 2010 г.
Hardcover: 441 pages. Publisher: Addison Wesley; United States ed edition (August 22, 2002). Language: English. ISBN-10: 0201745518. ISBN-13: 978-0201745511. This book provides an accessible introduction to signals and systems by beginning with an early introduction to cound and image applications, as opposed to circuits, that motivate readers to learn the theory. The book is accompanied by a robust website with detailed notes and illustrative ap...

## Leis John W. Digital Signal Processing Using MATLAB for Students and Researchers

• формат pdf
• размер 15.43 МБ
• добавлен 27 декабря 2011 г.
Wiley, 2011, 396 pages (English) Quickly Engages in Applying Algorithmic Techniques to Solve Practical Signal Processing Problems With its active, hands-on learning approach, this text enables readers to master the underlying principles of digital signal processing and its many applications in industries such as digital television, mobile and broadband communications, and medical/scientific devices. Carefully developed MATLAB® examples through...

## Mertins A. Signal Analysis. Wavelets, Filter Banks, Time-Frequency Transforms and Applications

• формат pdf
• размер 12.01 МБ
• добавлен 05 августа 2011 г.
Издательство John Wiley, 1999, -327 pp. A central goal in signal analysis is to extract information from signals that are related to real-world phenomena. Examples are the analysis of speech, images, and signals in medical or geophysical applications. One reason for analyzing such signals is to achieve better understanding of the underlying physical phenomena. Another is to find compact representations of signals which allow compact storage or e...

## Poularikas A.D. (ed.) The Transforms and Applications Handbook

Справочник
• формат djvu
• размер 9.26 МБ
• добавлен 09 октября 2011 г.
Издательство CRC Press/IEEE Press, 2000, -1335 pp. 2nd Edition. The purpose of The Transforms and Applications Handbook, Second Edition is to include in a single volume the most important mathematical transforms frequently used by engineers and scientists. The book also was written with the advanced undergraduate and graduate students in mind. Each chapter covers one of the transforms, accompanied by a number of examples that are included to elu...

## Shenoi B.A. Introduction to Digital Signal Processing and Filter Design

• формат pdf
• размер 6.71 МБ
• добавлен 02 мая 2011 г.
Wiley-Interscience, 2005. - 440 Pages. A practical and accessible guide to understanding digital signal processing. Introduction to Digital Signal Processing and Filter Design was developed and fine-tuned from the author's twenty-five years of experience teaching classes in digital signal processing. Following a step-by-step approach, students and professionals quickly master the fundamental concepts and applications of discrete-time signals and...

## Stephane Mallat. A Wavelet Tour of Signal Processing The Sparse Way. 3rd. Edition. Dec. 2008

• формат pdf
• размер 15.16 МБ
• добавлен 27 декабря 2011 г.
Sparse Representation. Computational Harmonic Analysis. Approximation and Processing in Bases. Time-Frequency Dictionaries. Sparsity in Redundant Dictionaries. Inverse Problems. Travel Guide. The Fourier Kingdom. Linear Time-Invariant Filtering. Fourier Integrals. Properties. Two-Dimensional Fourier Transform. Exercises. Discrete Revolution. Sampling Analog Signals. Discrete Time-Invariant Filters. Finite Signals. Discrete Image Pr...