Parallel implementation of an adaptive filter
149. Hong Tang, B. B. Zhou,
I. D. G. Macleod, R. P. Brent and Wei Sun,
Parallel implementation of an adaptive and iterative noise
filter for efficient signal restoration,
Proc. IEEE Region 10 Ninth Annual International Conference on
Parallel Computation and Applications (TENCON),
Singapore, August 1994, Vol. 2, 672-676.
Abstract
In signal restoration, especially image restoration, there are tremendous
demands for large-volume and high-speed computations. This paper
describes application of a novel noise filter, the adaptive differential
iterative RMS filter (ADIRMS), to restoration of noisy signals without
any a priori information
regarding the signal. An efficient parallel
implementaion of the filter on distributed memory MIMD machines
is outlined.
Since the local memory in each processing element (PE) of the system is
accessible to other PEs only via explicit message passing, the manner of
data distribution and communication is a very important factor for efficient
solution of a given problem; this isue is considered in some detail.
The ADIRMS algorithm has been implemented on the Fujitsu AP1000 with high
efficiency. We conclude that this algorithm provides a good basis
for parallel implementation on distributed memory machines.
Comments
For related papers, see
[151,
152].
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