在分析小波变换物理本质和奇异性检测原理的基础上，研究了小波基和白噪声对信号奇异性检测性能的影响。
Based on analyzing the physical essence and the principle of singularity detection, this paper discusses the effect of wavelet bases and white noise on signal singularity detection.
最后利用熵和空间频率对该方法的融合性能进行了评估分析，并与基于拉普拉斯变换和小波变换的图像融合方法进行了比较。
They use entropy and spatial frequency to evaluate the fusion result of their method and perform a comparison with the Laplacian based and the wavelet based image fusion methods.
此外，本文还对陀螺信号进行了小波变换滤波和IIR数字滤波器滤波并对上述三种方法的滤波性能进行了对比分析。
The wavelet transform filter and infinite impulse response (IIR) digital filter is applied, and the output signals of the three filters are compared.
应用推荐