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ICASSP
2009
IEEE

A differential geometric approach to discrete-coefficient filter design

10 years 4 months ago
A differential geometric approach to discrete-coefficient filter design
This paper is concerned with the problem of computing a discretecoefficient approximation to a digital filter. In contrast to earlier works that have approached this problem using standard combinatorial optimization tools, we take a geometric approach. We define a Riemannian manifold, arising from the difference in frequency response between the two systems of interest, on which we design efficient algorithms for sampling and approximation. This additional structure enables us to tame the computational complexity of the native combinatorial optimization problem. We illustrate the benefits of this approach with design examples involving IIR and FIR filters.
Subramanian Ramamoorthy, Lothar Wenzel, James Nagl
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Subramanian Ramamoorthy, Lothar Wenzel, James Nagle, Bin Wang, Michael Cerna
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