Log-sampled filter system

Pulse or digital communications – Receivers – Interference or noise reduction

Reexamination Certificate

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Reexamination Certificate

active

07555081

ABSTRACT:
This invention provides a filter system which may be implemented with less hardware and software resources than traditional filters. In addition, the filter system structure reduces the complexities typically associated with filter design by permitting direct specification of the filter frequency response. Thus, the filter system may adaptively change the filter frequency response on the fly without incurring excessive time or computational costs. The filter system may provide a filtered signal output to any subsequent processing system, such as a voice recognition system or audio reproduction system.

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Keele, D.B., Jr., “Log Sampling in Time and Frequency: Preliminary Theory and Application,” AES 97th Conv., San Francisco, CA Nov. 10-13, 1994.
Y. Huang et al, “Artifactual Log-Periodicity in Finite Size Data: Relevance for Earthquake Aftershocks,” JGR, Dec. 1999, JB99-0531.
Keele, D.B., Jr., “Interpolating Linear-and Log-Sampled Convolution,” Audio Engineering Society Convention Paper, Presented at the 117thConvention, San Francisco, CA, Oct. 28-31, 2004.
Weisstein, Eric W., “Moore-Penrose Matrix Inverse.” FromMathWorld—A Wolfram Web Resource. http://mathworld.wolfram.com/Moore-PenroseMatrixinverse.html Retrieved Apr. 14, 2009.

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