Digital Signal Processing Using MATLAB (Bookware Companion),   ISBN:9780495073116

Customer Rating: 

I'm 6 weeks into a graduate course on DSP with this book. This is not a good intro to DSP book. It is a book focused on some previous knowledge of DSP and progressing on to use MATLAB to evaluate the subject. The problem is that the MATLAB examples are good, but theory examples are not varied enough and do not line up well with the homework problems, i.e. you will often be very hard pressed to apply the examples to the homework.

Customer Rating: 

This Book is a Good Introduction to MATLAB based DSP. To round out one's introduction, I also recommend Lyons' book on DSP as a companion. If one does not have MATLAB at home there are a couple of open source options that will work with this book. I chose SciCosLab GTK, but Octave from SourceForge also will work. SciCosLab GTK lets one do many of the exercises from the publishers website with little or no modification.

Customer Rating: 

I have an expensive version of Matlab with the DSP toolkit. I was excited to learn how to use it from this book. What a let down. The first functions that I found were unusable making the examples worthless. Then I noticed a web site where I could download these functions that were created by the author(sited in the text): the link no longer exists (surprise!) rendering this book worth less than the paper it was printed on! Besides the link to the non-existent site the author gives no more incite into how to enable Matlab to work with this text. Don't buy this book!

Customer Rating: 

This book does exactly what it purports to do - it teaches the reader how to perform signal processing tasks using Matlab. It starts out with signals and systems and moves on to the DTFT, the Z Transform, the DFT, digital filter structures including both IIR and FIR design, and finally covers some advanced topics in adaptive signal processing and communications. It even contains full-blown projects using Matlab on adaptive channel equalization, binary spread spectrum communications, and system identification. The reader should use another text such as Oppenheim's "Discrete Time Signal Processing" to get the theory, and come to this book on how to implement that theory in Matlab. The one drawback is that the book is older, so it is using Matlab 5. Also, another reviewer mentioned that much of the book is inaccessible to users who do not have the rather expensive signal processing toolkit at their disposal. Fortunately, thanks to the open source movement, this last problem has been solved. Octave, now on SourceForge, an open source code repository, has many of the matlab functions available for free that you need to do signal processing.
In conclusion, I highly recommend this book to signal processing students and professionals who wish to incorporate Matlab into their work.

Customer Rating: 

Great companion book to "Understanding Digital Signal Processors" by Lyons and "Digital Signal Processors" by Hayes. I would recommend this book strictly for a companion book. It doesn't go into in-depth detail or explanation of Laplace, z-transforms, or Fourier Transforms but displays a good foundation for MatLab DSP routines.