基于最大重叠离散小波谱的定义, 本文提出了一种确定分形信号局部奇异性指数的算法, 构造了一种

类似于奇异性谱的直方图, 并用之来描述信号奇异性的全局统计分布. 算法的有效性通过数字试验及在真实心率数据

中的应用得到了验证.-Based on the definition of wavelet spectrum of the maximal overlap discrete wavelet transform, we propose a novel

algorithm for determining the local singularity exponents, which provides the local scaling information of interest, and construct a

singularity- spectrum- like histo gram to describe the global statistical distribution of the local singularity strengths. The validity and efficiency

are verified by numerical experiment and application to real heart rate data.