A Stochastic Multirate Signal Processing Approach to High-Resolution Signal Reconstruction
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Authors
Scrofani, James W.
Therrien, Charles W.
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Date of Issue
2005-03
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Abstract
The paper addresses the problem of reconstructing a signal
at some high sampling rate from a set of signals sampled at a
lower rate and subject to additive noise and distortion. A set
of periodically time-varying filters are employed in reconstructing
the underlying signal. Results are presented for a
one-dimensional case involving simulated data, as well as
for a two-dimensional case involving real image data where
the image is processed by rows. In both cases, considerable
improvement is evident after the processing.
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Article
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Electrical and Computer Engineering
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Citation
Scrofani, J.W.; Therrien, C.W., “A Stochastic Multirate Signal Processing Approach to High-resolution Signal econstruction,” Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Philadelphia, PA, 18-23 March 2005.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.