This book differs from the classical DSP book model pioneered by O/S. Includes chapters on DFT, Z-Transform and Filter Design. The book starts out with what one reviewer calls "fun topics", and DSP applications".
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Book Description
Editorial Reviews
From the Publisher
Provides an applications-oriented introduction to digital signal processing. Orfandis covers all the basic DSP concepts and methods, such as sampling, discrete-time systems, DFT/FFT algorithms, and filter design. The book emphasizes the algorithmic, computational, and programming aspects of DSP, and includes a large number of worked examples, applications, and computer examples. Applications, such as wavetables and digital audio effects, were chosen to motivate and appeal to undergraduates.
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Most Helpful Customer Reviews
9 of 9 people found the following review helpful:
4.0 out of 5 stars
Not your last DSP text, but a fine choice for your first.,
By David L. Rick (Colorado, USA) - See all my reviews
This review is from: Introduction to Signal Processing (Paperback)
Many undergraduate DSP texts cover the same old material in the same old way. Sophocles J. Orfanidis has obviously thought carefully about what entry-level DSP students actually need to know to solve real problems. The requisite theory is there, but it hasn't been allowed to crowd out practical attention to algorithms and applications. Circular buffers and block-processing, fundmental to real DSP programs, are often ignored in other texts, but here they receive close attention. Actual C and/or MATLAB code is presented for many algorithms, and although the coding style sometimes emphasizes efficiency at the expense of clarity, it is still illustrative and helpful. The FIR filtering chapter illustrates the author's pragmatic approach. Most of the emphasis is on window-method design, and little time is wasted on the usual zoo-full of historical windows. After a brief discussion of the popular Hamming window, the author concentrates on the Kaiser window, which provides enough design flexibilty to supplant most others. Some readers will find it odd that Orfanidis barely mentions the Parks-McClellan method of FIR filter design, but how many people actually code this design algorithm from scratch? Detailed knowledge of it is not required to use commercial design software, and the discussion of window methods provides much more insight into the engineering tradeoffs involved in FIR filter design. The "Applications" chapter is a gem: Readers with an interest in Digital Audio will be pleased to find a wealth of algorithms and examples from this burgeoning field. Oversampling, noise-shaping, dither, and sample-rate conversion receive good coverage elsewhere in the text, but this chapter is full of "fun" algorithms like reverberation and flanging. Readers who want to learn more will find all the important papers listed in the references. Plus there's an excellent section on Noise Reduction and Signal Enhancement, which cuts to the heart of many engineering problems. In short, this is book offers a rigorous, but unstuffy jump-start into the fascinating world of Digital Signal Processing. While it won't be the last textbook most students of DSP will purchase, it certainly merits consideration as their first.
6 of 6 people found the following review helpful:
5.0 out of 5 stars
Great intro book!,
By MO (Boulder, CO USA) - See all my reviews
This review is from: Introduction to Signal Processing (Paperback)
This book is a great introduction to DSP. It provides solid mathematical background along with verbage to explain what the math means, pseudo-code algorithms for actually applying the concepts to software, and TONS of worked design examples and figures to aid understanding. Also lots of references to where in the real-world the topics are used. Particularly in the area of audio processing.
5 of 5 people found the following review helpful:
5.0 out of 5 stars
good introduction,
By ahanoun (Braunschweig , Germany) - See all my reviews
This review is from: Introduction to Signal Processing (Paperback)
as the first conceiving for the book got from its title, it is an introduction approach to dsp. slow steady steps ,many tactics to approach and address problems, alot of repetitive examples to reinforce ideas and many illustrative figures; make the book very useful to a dsp-beginner student. really i find myself marching slowly but surely during this book, but there is a need from time to time to refer to some other mathematical reference books to find how some equations were derived. i strongly recommend this book as a steady step in DSP field.
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