imageprocessing-(1)

用迭代法在MATLAB中实现（赫姆霍兹）Helmholtz方程组的求解(Solving Helmholtz equation set by iterative method in MATLAB)

m-sequencs generation and cross corelation between them

matlab图像处理代码m函数 P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理 (matlab image processing function code m)

机器人控制系统的设计与Matlab仿真--第五章代码 (Robot Control System Design and Matlab simulation- Chapter V code)

用MATLAB实现遗传算法程序，详尽的描述了遗传神经算法的实现方法(Genetic algorithm in MATLAB)

说明：  MFSK、OQPSK、MQAM、COFDM的simulink仿真(MFSK, OQPSK, MQAM, COFDM the simulink simulation)

说明：  核主成分分析方法是将主成分分析方法与核方法的有机融合，核心思想是通过引入核方法将输入空间的数据映射到特征空间，并在特征空间进行主成分分析，实现降维与提取非线性数据特征的双重目标。(The kernel principal component analysis (KPCA) is an organic fusion of principal component analysis (PCA) and kernel method. The core idea is to map the data from input space to feature space by introducing the kernel method, and carry out principal component analysis in feature space, so as to achieve the dual goals of dimensionality reduction and feature extraction of nonlinear data.)

角锥体法后方交会，利用共线条件方程解算外方位元素(Resection pyramid method, the use of collinearity equation solver exterior orientation elements)

BPSK信号调制加上高斯噪声后的通信信道仿真(BPSK modulation with Gaussian noise signal after the communication channel simulation)

灰狼优化算法和粒子群算法性能比较，附加灰狼算法介绍的PDF(Performance Comparison between Grey Wolf Optimization Algorithm and Particle Swarm Optimization Algorithm)