Probabilistic Methods Of Signal And System Analysis
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Probabilistic Methods of Signal and System Analysis
Author: George R. Cooper
language: en
Publisher: Oxford University Press, USA
Release Date: 1986
Probabilistic Methods of Signal and System Analysis, 3/e stresses the engineering applications of probability theory, presenting the material at a level and in a manner ideally suited to engineering students at the junior or senior level. It is also useful as a review for graduate students and practicing engineers.Thoroughly revised and updated, this third edition incorporates increased use of the computer in both text examples and selected problems. It utilizes MATLAB as a computational tool and includes new sections relating to Bernoulli trials, correlation of data sets, smoothing of data, computer computation of correlation functions and spectral densities, and computer simulation of systems. All computer examples can be run using the Student Version of MATLAB. Almost all of the examples and many of the problems have been modified or changed entirely, and a number of new problems have been added. A separate appendix discusses and illustrates the application of computers to signal and system analysis.
Solutions Manual for Probablistic Methods of Signal and System Analysis
Author: George R. Cooper
language: en
Publisher: Oxford University Press, USA
Release Date: 1998-08-01
This Solutions Manual is intended to accompany Probabilistic Methods of Signal and System Analysis, Third Edition by George R. Cooper and Clare D. McGillem. It contains fully worked-out solutions to problems in the main text. The manual is available free to adopters of the main text.
Analog and Digital Signals and Systems
Author: R. K. Rao Yarlagadda
language: en
Publisher: Springer Science & Business Media
Release Date: 2010-08-05
This book presents a systematic, comprehensive treatment of analog and discrete signal analysis and synthesis and an introduction to analog communication theory. This evolved from my 40 years of teaching at Oklahoma State University (OSU). It is based on three courses, Signal Analysis (a second semester junior level course), Active Filters (a first semester senior level course), and Digital signal processing (a second semester senior level course). I have taught these courses a number of times using this material along with existing texts. The references for the books and journals (over 160 references) are listed in the bibliography section. At the undergraduate level, most signal analysis courses do not require probability theory. Only, a very small portion of this topic is included here. I emphasized the basics in the book with simple mathematics and the soph- tication is minimal. Theorem-proof type of material is not emphasized. The book uses the following model: 1. Learn basics 2. Check the work using bench marks 3. Use software to see if the results are accurate The book provides detailed examples (over 400) with applications. A thr- number system is used consisting of chapter number – section number – example or problem number, thus allowing the student to quickly identify the related material in the appropriate section of the book. The book includes well over 400 homework problems. Problem numbers are identified using the above three-number system.