Signal Noise Elimination Analysis in Bimodal Noise Based on Wavelet Transform
Senbai Dalabave · Jisuanji gongcheng · 2011
For non-Gaussian noise,this paper proposes the signal detection based on wavelet transform of the bimodal noise background.It introduces three kinds of simplified model of the bimodal process and the probability density curve.It elaborates the basic concepts described wavelet transform.The block diagram of a known signal detection uses wavelet multiscale signal decomposition.The wavelet transform is used for three kinds of bimodal noise background signal detection after the optimal filter of comparative judgment.Experimental results show that the method can obtain a low error rate.