Digital Signal Processing Algorithms: Number Theory,...

Features

• Cover Type: Hard Cover with 672 pages
• Published by: CRC
• Edition: 1st Edition March 25, 1998
• Written in: English
• ISBN 10 Number: 0849371783
• ISBN 13 Number: 978-0849371783
• Book Dimensions: 9.6 x 6.4 x 1.6 inches
• Weighs: 2.4 pounds

Product Review
It is hard to criticise this book. It does what it does well…this is an unusual and useful book, which definitely ought to find its niche…
--Mark Sandler, Applied Signal Processing, Vol. 5, No. 4

It is hard to criticise this book. It does what it does well…this is an unusual and useful book, which definitely ought to find its niche…
--Mark Sandler, Applied Signal Processing, Vol. 5, No. 4

Product Description
Digital Signal Processing Algorithms describes computational number theory and its applications to deriving fast algorithms for digital signal processing. It demonstrates the importance of computational number theory in the design of digital signal processing algorithms and clearly describes the nature and structure of the algorithms themselves. The book has two primary focuses: first, it establishes the properties of discrete-time sequence indices and their corresponding fast algorithms; and second, it investigates the properties of the discrete-time sequences and the corresponding fast algorithms for processing these sequences. Digital Signal Processing Algorithms looks at three of the most common computational tasks that occur in digital signal processing; namely, cyclic convolution, acyclic convolution, and discrete Fourier transformation. The application of number theory to deriving fast and efficient algorithms for these three and related computationally intensive tasks is clearly discussed and illustrated with examples. Its comprehensive coverage of digital signal processing, computer arithmetic, and coding theory makes Digital Signal Processing Algorithms an great reference for practicing engineers. The authors' intent to demystify the abstract nature of number theory and the related algebra is evident throughout the text, providing clear and precise coverage of the quickly evolving field of digital signal processing.