A Stochastic Multirate Signal Processing Approach to High-Resolution Signal Reconstruction
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.
Rights
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.Collections
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