Digital Signal Processing Algorithms examines 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.
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Digital Signal Processing Algorithms examines 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.
| Publisher | Routledge; 1st edition (March 25, 1998) |
| Language | English |
| Hardcover | 637 pages |
| ISBN-10 | 0849371783 |
| ISBN-13 | 978-3527326525 |
| Item Weight | 2.35 pounds (1.06 kg) |
| Dimensions | 6.5 x 1.5 x 9.75 inches (16.5 x 3.8 x 24.8 cm) |
Digital Signal Processing Algorithms: Number Theory, Convolution, Fast Fourier Transforms, and Applications Computer Science & Engineering 1st Edition
The Digital Signal Processing Algorithms: Number Theory, Convolution, Fast Fourier Transforms, and Applications is a comprehensive book that covers various topics in digital signal processing. The book provides a detailed explanation of number theory, convolution, and Fast Fourier Transforms, and their applications in the field of computer science and engineering. The author presents the material in a clear and concise manner, making it easy for readers to understand and apply the concepts. This book is a valuable resource for students and professionals interested in digital signal processing.
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