Novel Threshold Function Wavelet De-Noising Algorithm Based on Cubic Spline Interpolation

摘要

Wavelet threshold de-noising method has widely used in signal processing. There are some shortcomings in the traditional soft and hard threshold functions and the improved threshold functions. This paper analyzed the major three kinds of improved threshold function, and put forward a novel threshold function-cubic spline interpolation threshold function. After many experiments with different signal to noise ratio signal(SNR), it shows that the novel threshold function's de-nosing result has certain advantages, and with the improvement of SNR, the advantages is apparent.