Field-Programmable Gate Arrays (FPGAs) are revolutionizing digital signal processing as novel FPGA families are replacing ASICs and PDSPs for front-end digital signal processing algorithms. So the efficient implementation of these algorithms is critical and is the main goal of this book. It starts with an overview of today's FPGA technology, devices, and tools for designing state-of-the-art DSP systems. A case study in the first chapter is the basis for more than 40 design examples throughout. The following chapters deal with computer arithmetic concepts, theory and the implementation of FIR and IIR filters, multirate digital signal processing systems, DFT and FFT algorithms, advanced algorithms with high future potential, and adaptive filters. Each chapter contains exercises. The VERILOG source code and a glossary are given in the appendices, while the accompanying CD-ROM contains the examples in VHDL and Verilog code as well as the newest Altera "Quartus II web edition" software. This edition has a new chapter on microprocessors, new sections on special functions using MAC calls, intellectual property core design and arbitrary sampling rate converters, and over 100 new exercises.

The following are the contents of the book, which are not otherwise listed on Amazon:
1. Intro, which goes over FPGA architectures, 25 pages

2. Computer arithmetic. Covers computer arithmetic from the slant of hardware. Includes distributed arithmetic and cordic discussion, 46 pages,

3. FIR filters 34 pages

4. IIR filters 24 pages

5. Multirate signal processing -- decimation &interpolation, polyphase decompositin, CIC filters, Multistage decimators, Frequency sampling, filterbanks, wavelets. 59 pages

6. Fourier Transforms -- 42 pages

7. Advanced topics -- Rectangular and number theoretic transforms, error control and cryptography, modulation & demodulation --76 pages

8 . references and source code 76 pages

-Ray Andraka, P.E.
President, Andraka Consulting Group, Inc


DSP with FPGAs   October 24, 2002
Mark M (UK)
9 out of 9 found this review helpful

"Digital Signal Processing with Field Programmable Gate Arrays" covers most of the popular DSP applications in good detail.
Before you buy this book I would highly recommend reading "Understanding DSP" by Rick Lyons.

Once you understand the fundamentals of DSP this book will help you decide on the best implementation
of each algorithm using a step by step approach. The author also weighs up the pros and cons of each algorithm.


Excellent for DSP Implementations   April 25, 2003
netrama (FL , United States)
8 out of 8 found this review helpful

In this book Dr Meyer-Baese brings in his industrial/proffessional experience from the field of DSP using FPGAS. Lots of other FPGA/Hardware books just talk about the theoretical/concetual/abstract level DSP. Here the main focus is the practical implementation of the different DSP Components
everything from Multipliers to the Discrete Wavelet Trasform.
Each of these components are seperately discussed chapter-wise and is supplemented by applications and also source code in both VHDL and Verilog (mostly in the accompanying CD)
If you just want to know what an FFT is then this book is NOT for you,but if you want to implement this in hardware then this is THE book.


Starry   June 29, 2008
Mohammad Omer (Atlanta)
0 out of 3 found this review helpful

Comes from the DSP hardware Stars. Actually the only book on DSP hardware design in the market as of 2007. So there isnt much of choice, if you are into this businees. Good value for money, a hefty, detailed treatment.


Errata for the 3rd ed. please... it is indispensable   January 1, 2010
JASA (Portugal)
1 out of 1 found this review helpful

From among the many books on DSP I own, I've chosen the 3rd. ed. of Dr. Meyer-Baese "DSP with FPGA", more precisely ch. 8 on "Adaptive Filters", to be the base of a module on adaptive filtering belonging to a DSP course that I teach at a University. The reason behind the choice was that, at first sight, the chapter seemed to have a good balance of conciseness and range of adaptive techniques presented.
This means I read carefully ch. 8 and implemented in Scilab some of the adaptive algorithms. As a consequence, I also examined carefully the equations, mainly those on the Widrow-Hoff LMS and the RLS techniques.
What I found was several handful of mistakes. From the silly ones (the definition of variance in p. 481 is E{(x-av)^2} instead of E{x^2}, as the average 'av' is not assumed as zero) to errors in vectors transposition in the differentiation of matrix-vector products (e.g. in the gradient definition, in the middle of page 483, there should be x[n] x^T[n] instead of x^T[n] x[n]) which, sometimes, by miracle appear correct in the next equations, and ending in the mess with the use of [n+1] or [n] indexes in many equations in the derivation of RLS algorithms in pages 518-521, the lack of exactness in the theoretical derivations converts what could be a very good presentation/tutorial chapter on the AF topic in, at times, a messy bunch of equations plagued with mistakes.
The chapter on AF first appeared in the 2nd ed. of the book (2003). So there has been plenty of time to correct at least most of the mistakes for this 3rd ed. from 2007.
I also tried to found an errata, even that of the 1st ed. of the book which is promised in the preface, but I didn't succeed. That was a severe disappointment.
That said, I cannot agree with most of the Amazon customers which rate the book with 5 stars, and recommend the author to get some picky reviewers that can catch and correct those (and other I don't mention) nasty typos and mistakes. To the reader using the book I suggest him/her to consult, for instance, the books from Widrow & Stearns or Simon Haykin to obtain correct derivations of the fundamental equations behind the basic theory of AF.