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based on genetic algorithm (2005)
| Content Provider | CiteSeerX |
|---|---|
| Author | Ma Qi-Ming 马启明 Wang Xuan-Yin 王宣银 Du Shuan-Ping 杜拴平 |
| Abstract | Abstract: Genetic algorithm (GA) based on wavelet transform threshold shrinkage (WTS) and translation-invariant threshold shrinkage (TIS) is introduced into the method of noise reduction, where parameters used in WTS and TIS, such as wavelet function, decomposition levels, hard or soft threshold and threshold can be selected automatically. This paper ends by comparing two noise reduction methods on the basis of their denoising performances, computation time, etc. The effectiveness of these methods introduced in this paper is validated by the results of analysis of the simulated and real signals. |
| File Format | |
| Publisher Date | 2005-01-01 |
| Access Restriction | Open |
| Subject Keyword | Genetic Algorithm Decomposition Level Noise Reduction Soft Threshold Noise Reduction Method Wavelet Function Denoising Performance Wavelet Transform Threshold Shrinkage Real Signal Computation Time Translation-invariant Threshold Shrinkage |
| Content Type | Text |
| Resource Type | Article |
