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针对基于模极大值和基于相位信息的小波脊提取算法的缺点,提出了一个改进的小波脊提取算法。该算法利用小波系数的相位信息提取所有可能的脊点,利用小波系数模的最大值以及脊线的连续光滑性甄别出信号的脊点,排除掉噪声的脊点,从而加快了脊点的搜索速度,提高了脊点提取的有效性。相比于基于模极大值和基于相位信息的小波脊提取算法而言,该算法更适用于低噪声信号的小波脊线的提取。
Aiming at the shortcomings of wavelet ridge extraction based on modulus maxima and phase information, an improved wavelet ridge extraction algorithm is proposed. The algorithm uses the phase information of wavelet coefficients to extract all possible ridge points, identifies the ridge points of the signals by using the maximum value of the wavelet coefficient modulus and the continuous smoothness of the ridge lines, eliminates the ridge points of the noise and speeds up the search of ridge points Speed, improve the effectiveness of ridge extraction. Compared with wavelet ridge extraction based on modulus maxima and phase information, this algorithm is more suitable for wavelet ridge extraction of low-noise signals.