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Digital Signal Processing: Principles, Algorithms And Applications (3rd Edition) Hardcover: 1016 pages

Publisher: Prentice Hall; 3rd edition (October 5, 1995)

Language: English

ISBN-10: 0133737624

ISBN-13: 978-0133737622

Product Dimensions: 7.3 x 1.7 x 9.3 inches

Shipping Weight: 3.6 pounds

Average Customer Review: 4.3 out of 5 stars See all reviews (27 customer reviews)

Best Sellers Rank: #362,334 in Books (See Top 100 in Books) #13 in Books > Computers & Technology > Hardware & DIY > Microprocessors & System Design > DSPs #62 in Books > Textbooks > Engineering > Electrical & Electronic Engineering #287 in Books > Engineering & Transportation > Engineering > Electrical & Electronics > Circuits

This book is a great theoretical introduction to DSP. Although its size looks intimidating and there is a lot of math, this book is very good for a beginner because firstly, the size of the book is due to numerous examples as well as clear and detailed explanations for most of the concepts and secondly, it is possible to skip over much of the math if you are so inclined and take away the gist of the section. This is the case in some of the more advanced topics covered which may be suitable for a second reading.Some of the things I liked in this book are:- The organization of the material and lucidity of the writing and explanation- Consistency of notation- The concepts of frequency in continuous and discrete time signals in Chapter 1- The long introduction to discrete time systems and the concepts of linear time invariance in Chapter 2- The explanation of Fourier series and Fourier transforms of continuous time and discrete time signals (periodic and non periodic) in Chapter 4 is the best part of this book- Frequency domain characteristics of LTI systems in Chapter 4- The way the DFT was introduced and its relationship with the DTFT in Chapter 5- Sampling and reconstruction of signals in Chapter 9Some of the things I did not like in this book are:- The way the sampling theorem was derived in Chapter 4. In DSP you can derive the same thing in many ways but in many cases one method is more intuitive and simpler than the rest. There is an easier way to derive the sampling theorem- There are mistakes in some equations. Not a major issue though- There is no MATLAB or computer exercises or examples anywhere.

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