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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.
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.
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一种基于小波谱的分形函数奇异性确定方法_王兆瑞.pdf