9780131687370-0131687379-Fundamentals of Signals and Systems Using the Web and MATLAB

Fundamentals of Signals and Systems Using the Web and MATLAB

ISBN-13: 9780131687370
ISBN-10: 0131687379
Edition: 3
Author: Edward Kamen
Publication date: 2006
Publisher: Pearson
Format: Hardcover 672 pages
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Book details

ISBN-13: 9780131687370
ISBN-10: 0131687379
Edition: 3
Author: Edward Kamen
Publication date: 2006
Publisher: Pearson
Format: Hardcover 672 pages

Summary

Fundamentals of Signals and Systems Using the Web and MATLAB (ISBN-13: 9780131687370 and ISBN-10: 0131687379), written by authors Edward Kamen, was published by Pearson in 2006. With an overall rating of 3.9 stars, it's a notable title among other Computer Science (Internet, Groupware, & Telecommunications, Networking & Cloud Computing, Mathematical & Statistical, Software) books. You can easily purchase or rent Fundamentals of Signals and Systems Using the Web and MATLAB (Hardcover) from BooksRun, along with many other new and used Computer Science books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $34.05.

Description

With the presentation at an introductory level, the third edition of the book (2007 copyright) contains a comprehensive treatment of continuous-time and discrete-time signals and systems, with demos on the textbook website (users.ece.gatech.edu/~bonnie/book3), data downloaded from the Web, and illustrations of numerous MATLAB commands for the solution of a wide range of problems arising in engineering and in other fields such as financial data analysis. The book contains a large collection of examples and problems, and practical applications that use actual data dowloaded from the Web. It is shown how data can be downloaded and then imported into MATLAB for analysis by techniques covered in the text. Applications include data analysis in the presense of noise, with the focus on filtering noisy signals and the use of the discrete Fourier transform (DFT) to extract the dominant cyclic components of a signal (time series) from noisy measurements of the signal.
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