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Investigation of hardware for adaptive minimal mean square error filter using verilog HDL

Authors: Wu, Lixin.;

Investigation of hardware for adaptive minimal mean square error filter using verilog HDL

Abstract

This report discusses the work done on implementing the adaptive Minimal Mean Square Error (MMSE) filter in C and Verilog HDL. The algorithm of adaptive MMSE filter is first introduced, which estimates the original signal in the sense of local linear minimal mean square error. The filter implementation in C for VirtualDub is next discussed. Experimental results on video signals show that the filter is very effective in removing Gaussian noise. Its weakness on impulsive noise is also demonstrated. A proposal has been suggested to improve its performance on impulsive noise, and evaluation results are promising. Next is the introduction of the filter implementation in Verilog HDL. The simulation results obtained from Active HDL environment are finally discussed.

Master of Science (Signal Processing)

Country
Singapore
Related Organizations
Keywords

DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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