Fundamentals of Signals and Systems Using the Web and MATLAB (3rd Edition)

* Read ^ Fundamentals of Signals and Systems Using the Web and MATLAB (3rd Edition) by Edward W. Kamen, Bonnie S Heck ↠ eBook or Kindle ePUB. Fundamentals of Signals and Systems Using the Web and MATLAB (3rd Edition) 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.. The book contains a large collection of examples and problems, and practical applications that use actual data dowloaded from the Web. With the presentation at an introductory level, the third edition of the book (2007 c

Fundamentals of Signals and Systems Using the Web and MATLAB (3rd Edition)

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Rating : 4.13 (941 Votes)
Asin : 0131687379
Format Type : paperback
Number of Pages : 672 Pages
Publish Date : 2015-01-27
Language : English

DESCRIPTION:

A MATLAB tutorial is provided on a disk which is available for student/instructor use, and all examples in the text are developed in terms of the Student Edition of MATLAB®. From the Publisher Developed from Professor Kamen's best-selling text Introduction to Signals and Systems, this forward-looking new text presents accessible yet comprehensive analytical treatment of signals and systems and also incorporates a strong emphasis on solving problems and exploring concepts using MATLAB.

I do not recommend this book for any undergraduate course in signal process Ikki The book meanders a lot. Never really gets to the point of what the chapter is about gives all this superfluous detail unrelated to the actual parts of how to use or understand the algorithms. 90% of the book boils down to basic transforms and using the charts to calculate results. I do not recommend this book for any undergraduate course in signal process. Look else where or professors write your own.. "It works" according to Raptor. The book is short and mostly clear. The biggest problem with it is no odd or even answers in the back. Without this it makes it nearly impossible to learn since you do not know whether your answers are right or not. Also, it does not include an index of fourier to real function graphs with their fourier phases. These graphs make learning transforms infinitely easier. It also has few examples that help clarify the material. On the plus side, if this is a review or second time looking at this material, it is a great reference/review book.. Plain Language a Plus -- But Doesn't Go Enough Into Detail The fact that this book is written in plain language is great, it makes a lot of concepts a lot easier to digest. However, the material here is extremely patchy. As a student learning this for the first time, I've found that this textbook isn't exactly the most effective due to the holes between content areas. The author seems to go into detail about things that seem unimportant, while he/she skims over the real meat of the subject. And what's worse is the fact that there are no worked out examples. If there were more worked examples, concepts might click amongst the

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.. The book contains a large collection of examples and problems, and practical applications that use actual data dowloaded from the Web. 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 (usersetech/bonnie/book3), data downloaded from the Web, and illustrations of numerous MATLAB comm

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