分析了该信号的时域、频域、倒谱，循环谱等,包括面积、周长、矩形度、伸长度，利用自然梯度算法，仿真效果非常好，采用偏最小二乘法。- Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Including the area, perimeter, rectangular, elongation, Use of natural gradient algorithm, Simulati

A. Trujillo-Pino, K. Krissian, M. Alemán-Flores, and D. Santana-Cedrés, “Accurate subpixel edge location based on partial area effect” , Image Vis. Comput., vol. 31, no. 1, pp. 72–90, 2013. 的matlab源代码-The code of “Accurate subpixel edge location base

亚像素边缘提取算法以及实验代码,算法详见Accurate Subpixel Edge Location Based on Partial Area Effect-Sub-pixel edge detection algorithm and test code, algorithms see Accurate Subpixel Edge Location Based on Partial Area Effect

Accurate subpixel edge detection based on partial area effect