02184cam a22003014a 45000010009000000050017000090080041000260100017000670200026000840200029001100400018001390420008001570500026001650820022001911000030002132450064002432600056003073000035003635040051003985201093004496500050015426500023015926530019016158560084016349420012017189990017017309520135017471610595620110109113427.0100224s2010 nyua b 001 0 eng  a 2010007111 a0521190495 (hardback) a9780521190497 (hardback) aDLCcDLCdDLC apcc00aTK5102.9b.B5434 201000a621.3822222bBLA1 aBlahut, Richard E.92331710aFast Algorithms for Signal Processing /cRichard E. Blahut. aNew York :bCambridge University Press, 2010c2010. axiii, 453 p. :bill. ;c26 cm. aIncludes bibliographical references and index. a"Efficient signal processing algorithms are important for embedded and power-limited applications since, by reducing the number of computations, power consumption can be reduced significantly. Similarly, efficient algorithms are also critical to very large scale applications such as video processing and four-dimensional medical imaging. This self-contained guide, the only one of its kind, enables engineers to find the optimum fast algorithm for a specific application. It presents a broad range of computationally-efficient algorithms, describes their structure and implementation, and compares their relative strengths for given problems. All the necessary background mathematics is included and theorems are rigorously proved, so all the information needed to learn and apply the techniques is provided in one convenient guide. With this practical reference, researchers and practitioners in electrical engineering, applied mathematics, and computer science can reduce power dissipation for low-end applications of signal processing, and extend the reach of high-end applications"-- 0aSignal processingxDigital techniques.923318 0aAlgorithms.923319 bElecApril2011423Cover imageuhttp://assets.cambridge.org/97805211/90497/cover/9780521190497.jpg 2ddccBB c15175d15175 00102ddc40708BaccahaMAINbMAINc1STd2011-04-27epurchaseg728.00h12158l0o621.3822 BLAp000023391r2025-07-15 00:00:00yBB