This book is intended for graduate students at the first year or advanced graduate level in the areas of statistical and adaptive signal processing, as well as practicing engineers. The goal of this book is to provide a unified, complete, and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. The text is written in an intuitive manner and includes many illustrative examples. In addition a sufficient number of computer based experiments are included that illustrate important concepts to the reader for ease of implementation. Throughout the book a sufficient emphasis has been placed on applications for the purposes of demonstrating the utility of various techniques.

Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing

Computers & Technology

Manolakis, Dimitris G.

Ingle, Vinay K.

Kogon, Stephen M.

Networking & Cloud Computing

Mcgraw-Hill College

The Study Guide is intended for use as a companion for self-study to the textbook entitled Digital Signal Processing, Principles, Algorithms, and Applications,Third Edition, published by Prentice Hall. MATLAB is incorporated as the basic software tool for this self-study guide. The Study Guide, along with the textbook, can be used by students, practicing engineers, and scientists who wish to obtain an introduction to the subject. It can also be used by people who have had a basic undergraduate course in DSP but who have not been exposed to DSP software tools, such as MATLAB, for analyzing and implementing DSP systems and algorithms. For effective learning of the material and for understanding difficult concepts in DSP, it is important to integrate software tools with textual study. This integration makes it possible for students to simulate signals, systems or filters , or algorithms and provides for "what-if" type of analyses to delve more deeply into the topics. This Study Guide, designed with this approach in mind, uses MATLAB as the tool. In addition to learning each topic, concept, or algorithm, the student should make every effort to use the provided MATLAB functions to develop a stronger intuition and a deeper understanding of the material. The Study Guide treats traditional topics covered in an introductory DSP course. In each chapter of the Study Guide, the reader is directed to review the topics covered in the corresponding chapter of the textbook. The basic topics and results treated in each chapter of the textbook are summarized in the Study Guide, and the relevant MATLAB functions to be used in solving problems are introduced. At the end of each chapter of the Study Guide is a set of problems that the reader should solve, using MATLAB. Solutions to these problems are included in the Study Guide. The DSP textbook also contains numerous problems at the end of each chapter. Many of these problems can also be solved by using MATLAB. If additional practice is desirable, the reader is encouraged to solve some of these problems in MATLAB. The various MATLAB functions cited in the Study Guide are available at the location ftp://ftp.cdsp.neu.edu/pub/ingle/I P_dsp_toolbox These functions require MATLAB version 5 or higher and the signal toolbox version 3 or higher. Further information about MATLAB and the related toolbox can be obtained from the MathWorks, Inc. A self contained, more in-depth treatment of the use of MATLAB in the analysis and design of digital-signal processing systems and algorithms is given in the book Digital Signal Processing using MATLAB,written by Vinay K. Ingle and John G. Proakis, and published by Brooks Cole, Thomson Learning. JOHN G. PROAKIS VINAY K. INGLE Boston, Massachusetts

A Self-Study Guide for Digital Signal Processing

Proakis, John G.

Pearson

This supplement to any standard DSP text is one of the first books to successfully integrate the use of MATLAB in the study of DSP concepts. In this book, MATLAB is used as a computing tool to explore traditional DSP topics, and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored. This updated second edition includes new homework problems and revises the scripts in the book, available functions, and m-files to MATLAB V7.

Digital Signal Processing Using MATLAB (Bookware Companion)

Computer Science

CL-Engineering

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.

Applied Digital Signal Processing: Theory and Practice

Engineering & Transportation

Engineering

Cambridge University Press

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.

This supplement to any standard DSP text is one of the first books to successfully integrate the use of MATLAB in the study of DSP concepts. In this book, MATLAB is used as a computing tool to explore traditional DSP topics, and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored. This updated printing revises the scripts in the book, available functions, and m-files (available for downloading from the Brooks/Cole Bookware Companion Resource Series™ Center Web site) to MATLAB V5 (created with 5.3).

Digital Signal Processing Using MATLAB

A volume in the BookWare Companion Series, this book has been developed as a supplement to traditional core texts in DSP for instructors and students who wish to make MATLAB an integral part of their study of DSP topics and concepts. The books in this new series are designed to promote students problem solving and critical thinking skills through the use of MATLAB as a virtual laboratory. A 3.5 disk of MATLAB data files is available.

Digital Signal Processing Using MATLAB Version 4: A Bookware Companions Problems Book (A volume in the PWS BookWare Companion Series)

Software

In this supplementary text, MATLAB is used as a computing tool to explore traditional DSP topics and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored.

See the best price to sell, buy, or rent books by Ingle, Vinay K.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Ingle, Vinay K.

See the best price to sell, buy, or rent books by Ingle, Vinay K.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing

A Self-Study Guide for Digital Signal Processing

Digital Signal Processing Using MATLAB (Bookware Companion)

Applied Digital Signal Processing: Theory and Practice

Applied Digital Signal Processing: Theory and Practice

Digital Signal Processing Using MATLAB

Digital Signal Processing Using MATLAB Version 4: A Bookware Companions Problems Book (A volume in the PWS BookWare Companion Series)

Digital Signal Processing Using MATLAB