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For introductory courses (freshman and sophomore courses) in Digital Signal Processing and Signals and Systems. Text may be used before the student has taken a course in circuits.
DSP First and it's accompanying digital assets are the result of more than 20 years of work that originated from, and was guided by, the premise that signal processing is the best starting point for the study of electrical and computer engineering. The "DSP First" approach introduces the use of mathematics as the language for thinking about engineering problems, lays the groundwork for subsequent courses, and gives students hands-on experiences with MATLAB.
The Second Edition features three new chapters on the Fourier Series, Discrete-Time Fourier Transform, and the The Discrete Fourier Transform as well as updated labs, visual demos, an update to the existing chapters, and hundreds of new homework problems and solutions.
- Sales Rank: #167211 in Books
- Brand: McClellan, James H./ Schafer, Ronald/ Yoder, Mark A.
- Published on: 2015-08-12
- Original language: English
- Number of items: 1
- Dimensions: 9.90" h x 1.00" w x 7.90" l, .0 pounds
- Binding: Hardcover
- 592 pages
From the Publisher
This hands on, multi-media package provides a motivating introduction to fundamental concepts, specifically discrete-time systems, for beginning engineering students. Designed and written by experienced and well- respected authors. This class-tested learning package can also be used as a self-teaching tool for anyone eager to discover more about DSP applications, multi-media signals, and MATLAB. Unique features, such as visual learning demonstrations, MATLAB laboratories and a bank of solved home-work problems are just a few things that make this an essential learning tool for mastering fundamental concepts in today's electrical and computer engineering curriculum.
From the Back Cover
This best-selling, hands-on, multimedia package provides an introduction to fundamental concepts, specifically discrete-time systems, for beginning engineering students. Created and written by the same well-respected authors, it has been adopted in over 100 institutions worldwide since publication. This class-tested learning package is also widely used as a self-teaching tool to discover more about USP applications, multimedia signals, and MATLAB(R) . Unique features such as visual learning demonstrations, MATLAB laboratories, and a bank of solved homework problems are just a few of the things that make this an essential learning tool for mastering fundamental concepts in today's electrical and computer engineering curricula.
About the Author
Dr. James H. McClellan received the B.S. degree in Electrical Engineering from Louisiana State University in 1969 and the M.S. and Ph.D. degrees from Rice University in 1972 and 1973, respectively. During 1973-4 he was a member of the research staff at M.I.T.'s Lincoln Laboratory. He then became a professor in the Electrical Engineering and Computer Science Department at M.I.T. In 1982, he joined Schlumberger Well Services where he worked on the application of 2-D spectral estimation to the processing of dispersive sonic waves, and the implementation of signal processing algorithms for dedicated high-speed array processors. He has been at Georgia Tech since 1987. Prof. McClellan is a Fellow of the IEEE and he received the ASSP Technical Achievement Award in 1987, and then the Signal Processing Society Award in 1996.
Ronald W. Schafer is an electrical engineer notable for his contributions to digital signal processing. After receiving his Ph.D. degree at MIT in 1968, he joined the Acoustics Research Department at Bell Laboratories, where he did research on digital signal processing and digital speech coding. He came to the Georgia Institute of Technology in 1974, where he stayed until joining Hewlett Packard in March 2005. He has served as Associate Editor of IEEE Transactions on Acoustics, Speech, and Signal Processing and as Vice-President and President of the IEEE Signal Processing Society. He is a Life Fellow of the IEEE and a Fellow of the Acoustical Society of America. He has received the IEEE Region 3 Outstanding Engineer Award, the 1980 IEEE Emanuel R. Piore Award, the Distinguished Professor Award at the Georgia Institute of Technology, the 1992 IEEE Education Medal and the 2010 IEEE Jack S. Kilby Signal Processing Medal.
Most helpful customer reviews
20 of 21 people found the following review helpful.
I consider this book as a signal processing enabling book
By oclua@acm.org Prof. Osvaldo Clua
I consider this book as a signal processing enabling book and I use it with my students at the University as an introduction, previous to networking or Multimedia specific subjects. I recommend this book to anyone who is looking for a gentle introduction to digital signal processing, and is no willing to pass through a high math path. The math's are there but in their just proportion. The author is concerned about concepts, and the movies on the CD are of great help in order to get them. Th introduction to complex notation, difference equations and convolution are the gentles I've read. If you manage to solve the numeric exercises, you end with working concepts and skills in the area. The authors try to give examples from several fields like sounds, pictures and video in order to make the material understandable. Its not a very rigorous book but is a valuable one if you prefer concepts to mathematical rigor. After working the proposed projects, you can deal with filtering, image analysis, sampling, aliasing and several other signal processing techniques knowing what you are doing.
5 of 5 people found the following review helpful.
Great Book
By Micah A. Baldwin
I think this book is absolutely outstanding. I don't understand any of the negative comments. The cd that comes with the book is indispensble. It provides example after example. I actually bought schaum's outline of dsp as well, but because of all the examples on the cd (they are handwritten) I don't even have a need to refer to the outline.
In addition, I thought the content of the chapters to be very readable. The only downside is that because the book is dated 1998 the matlab code is out of date and some of the drills no longer work with the newer versions.
4 of 4 people found the following review helpful.
Not easy, but not not bad
By rlingenf
In the first few chapters of the book, the authors do presume 2 things. 1) You know something about switching between cos terms and imaginary numbers (Euler), and 2) You have access Matlab to run the code peppered throughout the book.
1) Well, the truth is you need to grind through some of these alternative ways of representing a sinusoid. If you are a little weak in an area of say how to get the real part of e^i(theta*t), you will struggle for a while. But I think the struggle is part of the learning process anyway, so not such a bad thing (there are helpful review topics in the back of the book).
2)As for needing Matlab to get any benefit from the book, just download Octave. It will run most m files and give you 2d and 3d plots. So Matlab in not an issue.
The book offers a lot of media demos i.e. a short movie of how a positive and negative frequency (opposite rotating Phasor's) can combine to create a real result. Aliasing, short explanation on generating musical note frequencies. etc.
I am only through the 1st 3 chapters, but I feel that the book is doing what it is supposed to do, help me learn some fundamentals. I will read Lyons book next, and I would bet that it will be much easier reading after the foundation I have built up from this one. Caveat: I am doing this just for my own enjoyment, so I am not under a time constraint that a student might be. I also expect I will need to read several other books as well to get proficient at DSP. But I do think this one has quite a bit to offer. Ya gotta put some work into it.
If DSP was easy, everybody would be doing it! :)
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