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

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

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 implementat...

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Main Author: Wu, Lixin.
Other Authors: Charoensak, Charayaphan
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:http://hdl.handle.net/10356/3774
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-37742023-07-04T15:45:06Z Investigation of hardware for adaptive minimal mean square error filter using verilog HDL Wu, Lixin. Charoensak, Charayaphan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems 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) 2008-09-17T09:37:15Z 2008-09-17T09:37:15Z 2004 2004 Thesis http://hdl.handle.net/10356/3774 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Wu, Lixin.
Investigation of hardware for adaptive minimal mean square error filter using verilog HDL
description 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.
author2 Charoensak, Charayaphan
author_facet Charoensak, Charayaphan
Wu, Lixin.
format Theses and Dissertations
author Wu, Lixin.
author_sort Wu, Lixin.
title Investigation of hardware for adaptive minimal mean square error filter using verilog HDL
title_short Investigation of hardware for adaptive minimal mean square error filter using verilog HDL
title_full Investigation of hardware for adaptive minimal mean square error filter using verilog HDL
title_fullStr Investigation of hardware for adaptive minimal mean square error filter using verilog HDL
title_full_unstemmed Investigation of hardware for adaptive minimal mean square error filter using verilog HDL
title_sort investigation of hardware for adaptive minimal mean square error filter using verilog hdl
publishDate 2008
url http://hdl.handle.net/10356/3774
_version_ 1772828988996059136

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