Summary and Info
This is a book about digital signal processing noise reduction techniques. The selection of techniques covered is very broad, much more extensive than most books I have seen in this field.Unfortunately, the book has some severe shortcomings. As another reviewer has mentioned, the treatment of each technique is too shallow to be useful, and the bibliography much less than helpful. A helpful bibliography for each section would refer to more extensive treatments that might be usable for design and implementation. The bibliography for each chapter is instead dated and nonspecific, consisting of a seemingly random collection of technical reports, papers, and books published over three or four decades.The book is filled with equations, which are frustrating to read. They appear to have been typeset using a word processor that did not properly space mathematical symbols. For example, function parameters (in parentheses) are often closer to the following factor than the function name. The equations are often hard to read. The equations dealing with continuous functions are generally straightforward to interpret, but those dealing with discrete-time functions are frequently written with indices in parentheses instead of as subscripts. As you are reading through the mathematics, you have to separate in your mind the functions (with parameters) from the vector elements (with indices). The typesetting occasionally renders greek symbols in a bold font, so sometimes on the same page you will have the same symbols in different equations bolded or not bolded.Another problem with the mathematics comes about because of the extensiveness of the material. Different signal processing techniques have different mathematical histories, and therefore different naming conventions. The author generally uses the conventional mathematical notation for each technique, leading to jarring transitions from section to section.All in all, I think this could be a very useful book, if it were more carefully written, typeset adequately, if the treatment of each technique were better motivated and complete enough to use, and if the bibliography provided useful references to specialized treatments of individual topics.
More About the Author
Saeed Vaseghi (Persian: سعیدواثقی) is a British Iranian speech scientist. Professor Vaseghi is the professor of Communication Signal Processing at Brunel University.
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Advanced Signal Processing and Noise Reduction, 2nd Edition 0 out of 5 stars based on 0 ratings.