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As the inevitable noises exist in actual application, the common method (MTMM) gets unacceptable result of singularity detection. In order to get more accurate singularity detection, wavelet transform shrinkage and spatially selective noise filtration methods are respectively utilized to denoise the corrupted signals. Then, the wavelet transform are applied to the two independent preprocessing signals,...
In order to denoise different type of noisy signals, the genetic algorithm and sample entropy are applied to the wavelet transform threshold shrinkage (WTS) method. As the genetic algorithm is used, the parameters needed in WTS, such as the wavelet function, decomposition levels, threshold functions and threshold can be optimized automatically. For the sample entropy can measure the complexity of...
The jamming signal released by the enemy's aircraft can be explored by detecting the mutation of the received signal for radar seeker. The approximate entropy method, measuring the signal complexity, can be applied to process one frame data and to judge whether the jamming exists or not. Meanwhile, the moving-cut data approximate entropy is adopted to obtain the mutation point precisely. For three...
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