delayesttm

计算一维光子晶体的带隙计算，用MATLAB编程，时域有限差分法(photonic crystal 1_D)

MATLAB源码，P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象(MATLAB source code, P0401: detection using Prewitt operator Edge P0402: different σ value Log Operators image edge detection P0403: using Canny edge detection image edge P0404: Image Thresholding P0405: water line threshold Image segmentation method P0406: for the matrix quadtree decomposition P0407: the image is divided into text and non-text for these two types of P0408: morphological gradient detected binary image of the edge of P0409: morphological examples- delete images from the PCB All current lines, retaining only the target chip)

正弦波脉宽调制技术（SPWM）三项pwm逆变器双极性SPWM波形的产生(Sinusoidal pulse width modulation (SPWM) three pwm inverter bipolar SPWM waveform generation)

SUSAN算法 角点提取算法 matlab(SUSAN code matlab)

该源代码主要实现C4.5决策树算法，C4.5是对ID3算法的一种改进，它完善了ID3算法，补充了其算法的一点不足(The source code is the main achievement of C4.5 decision tree algorithm, C4.5 is an improved ID3 algorithm, which improved the ID3 algorithm, the algorithm added a little less than its)

相控阵天线的方向图（切比雪夫加权），合成孔径雷达（SAR)目标成像仿真，时间序列数据分析中的梅林变换工具，可以实现模式识别领域的数据的分类及回归，使用混沌与分形分析的例程，基于互功率谱的时延估计。(Phased array antenna pattern (Chebyshev weights), Synthetic Aperture Radar (SAR) imaging simulation target, Time series data analysis Mellin transform tool, You can achieve data classification and regression pattern recognition, Use Chaos and fractal analysis routines, Based on the time delay estimation of power spectrum.)

实用化工计算机模拟：MATLAB在化学工程中的应用(Practical Chemical Computer Simulation: MATLAB in chemical engineering)

说明：  经典浓度聚类算法OPTICS，matlab实现，简单易懂，可以运行(Classic Concentration clustering algorithm OPTICS, matlab implementation, easy to understand, you can run)

说明：  practical work shop in C/C++

matlab实现聚类分析，讲述matlab实现聚类分析的教程。。。。。。(matlab realize cluster analysis, cluster analysis tells matlab implementation tutorial)