CAJ | 학술논문

针对小波阈值算法对信号去噪过程中信号峰值保留和实时性不佳的现状，本文提出改进的小波阈值算法与提升小波的去噪算法相结合，通过建立连续小波阈值函数方程解决常用阈值产生的振荡和局部峰值重构缺失的问题。提升格式的小波算法弥补了传统小波变换实时性上的不足，并且计算量小，不需要额外的存储空间。最后，仿真实验结果表明，提升方案的改进小波阈值算法的重构信号更接近原始信号，较传统小波阈值算法仿真时间短实时性更强。
침대소파역치산법대신호거조과정중신호봉치보류화실시성불가적현상，본문제출개진적소파역치산법여제승소파적거조산법상결합，통과건립련속소파역치함수방정해결상용역치산생적진탕화국부봉치중구결실적문제。제승격식적소파산법미보료전통소파변환실시성상적불족，병차계산량소，불수요액외적존저공간。최후，방진실험결과표명，제승방안적개진소파역치산법적중구신호경접근원시신호，교전통소파역치산법방진시간단실시성경강。
For wavelet threshold algorithm in the process of signal denoising signal peak retention and the cur-rent situation of poor real-time performance, the improved wavelet threshold algorithm combined with wavelet de-noising algorithm was put forwarded.Through the establishment of continuous Wavelet threshold function equation solves common threshold of oscillation of peak and partial reconstruction of the missing issue. The lifting scheme wavelet algorithm to make up for the shortcomings of traditional wavelet transform on the real-time, and a small amount of calculation, no additional storage space.Finally, simulation, experimental results show that the lifting scheme wavelet threshold algorithm of reconstructing signal closer to the original signal, the traditional wavelet threshold algorithm simulation real-time stronger in short time.