The effect of input limiting on nonlinear filter for the removal of impulsive noise
Signals are always corrupted by impulsive noise. These corrupted signals are likely to have accidental burst of outlying observations than one would expect from normally distributed signals. This will affect their density functions which are decay in the tails less than Gaussian density function. H...
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| Format: | Final Year Project Report |
| Language: | English English |
| Published: |
Universiti Malaysia Sarawak (UNIMAS)
2009
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| Online Access: | http://ir.unimas.my/id/eprint/22995/1/The%20effect%20of%20input%20limiting%20on%20nonlinear%20filter...%2824%20pgs%29.pdf http://ir.unimas.my/id/eprint/22995/4/The%20effect%20of%20input%20limiting%20on%20nonlinear%20filter...%28fulltext%29.pdf http://ir.unimas.my/id/eprint/22995/ |
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| Summary: | Signals are always corrupted by impulsive noise. These corrupted signals are likely to have accidental burst of outlying observations than one would expect from
normally distributed signals. This will affect their density functions which are decay in the tails less than Gaussian density function. However, the nonlinear filters provide a useful and flexible approach to face the signals which are contaminated with the impulsive noise. Thus, the aim of this project is to investigate the effects of input limiting on the performance of two-dimensional (2-D) nonlinear filters when the input
signal is contaminated by impulsive noise. This project is focused on median filter for filtering purpose and the impulsive noise is modeled as a - stable random process. For simulation purpose, this project was used MATLAB software. The result of simulations showed that the output signal that passed through limited median filter is better in term of their quality. |
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