New method of analyzing singularities in noise based on singularity spectrum
一种基于多分形奇异谱的噪声奇异性分析新方法

Singularity analysis is one of the most promising new approaches for extracting hidden information from noise.Singularity spectrum is a statistical method to show global singularities distributions in noise.We introduced an algorithm based on wavelet transform modulus maxima to get singularity spectrum.The experiment on emulation noises shows that the new algorithm is accurate and feasible.Also we found out that singularity spectrum had some advantage over the traditional analysis method:power spectrum.