Abstract
As an important tool, wavelet analysis has been widely used in modern signal processing. In order to reduce the noise of satellite signal, wavelet transform is a very good method. Threshold function is an important component of wavelet threshold denoising. Traditional threshold functions include hard and soft threshold functions, but each has its own disadvantages. The hard threshold function is not continuous, which will lead to greater variance. The soft threshold approach often results in partial loss of high frequency information. In order to overcome these disadvantages, an improved threshold function is proposed in this article. The simulation shows that the proposed approach has better denoising performance than other threshold functions when it is used for denoising. In the process of signal processing, this method is very suitable for these cases where accuracy is high but computational requirements are not high.
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