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Dr. Burrus has been conducting research in digital signal processing (DSP) for more than 30 years at Rice. His interests are in digital filter design and implementation, and in efficient signal processing algorithms. Significant work is being done in both time and frequency domain specifications for FIR and IIR filters. The design methods focuses on efficient approximation algorithms, and the implementation uses block processing, distributed arithmetic, and transform techniques. Recent work has been on constrained least squared approximation, iterative reweighted least squares algorithms, and new exchange algorithms for Chebyshev approximations. The results of the DSP group's research on filter design are used in commercial filter design systems and are described in Burrus' book on digital filter design. More information on this research program can be found in the filter design notes.
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Series of Information and Management Sciences (2009): 253-255
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msra(2008)
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Series of Information and Management Sciences (2008): 545-547
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Digital Filters (2007)
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IEEE Transactions on Image Processingno. 1 (2005): 110-124
mag(2005)
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