MATLABCSharp

用Matlab仿真实现最小二乘法和总体最小二乘法估计 假设仿真的观测数据 产生，其中 为0均值， 单位方差的高斯白噪声，取n=1,2,....128。 试用TLS，取AR阶数为4，估计AR参数 和正弦波频率；再用SVD-TLS ，估计AR参数 和正弦波频率。 (1)、在仿真中，AR阶数取为4和6。 (2)、执行SVD-TCS时，AR未知。仿真运行至少二十次。 (Simulation using Matlab and the overall least squares least squares estimate assumptions simulated observation data are generated, where 0 mean, unit variance Gaussian white noise, take n = 1,2 ,.... 128. Try TLS, take AR order of 4, estimated AR parameters and the sine wave frequency then SVD-TLS, estimated AR parameters and the sine wave frequency. (1), in the simulation, AR order is taken as 4 and 6. (2), when the implementation of SVD-TCS, AR is unknown. Simulation run at least twenty times.)

利用网络实现函数逼近 使用的主要函数如下： NEWRB——设计径向基函数神经网络 SIM——对径向基函数网络进行仿真(Function approximation using the Internet to achieve the main function is as follows: NEWRB- the design of radial basis function neural network SIM- for radial basis function network simulation)

zavarei papre implementation in 2004

说明：  同态滤波器，用于增强图像的细节部分，灰度级扩展，边缘细节增强(Homomorphic filter, used to enhance the details of the image, gray-scale expansion, edge detail enhancement)

本代码使用matlab实现理想高通滤波增强图像(Matlab to achieve ideal high-pass filtering to enhance the image)

毕业设计中，用Matlab实现了机器人最优路径规划中的全局路径规划，算法采用的是基于方向权的 VUtFmk 二叉树算法，同时结合了哈夫曼编码二叉树的 gXMAbPy综合。(Graduation design, using Matlab to achieve the optimal path planning of robot global path planning algorithm uses a binary tree algorithm based on the direction of the right VUtFmk , combined with the binary tree Huffman coding gXMAbPy comprehensive.)

说明：  实现您自己的直方图均衡或匹配算法。提交您的代码和演示图像。以及和MATLAB的函数histeq（）的比较结果。(Realize your own Histogram equalization or matching algorithm. Submit your code and demo images. Compare your result with matlab function histeq().)

cuk converter step up and step down dc converter

KALMAN滤波与平滑原理及matlab经典源码，内附滤波平滑处理结果图形，比较适合初学(KALMAN filtering theory and matlab classic source, more suitable for beginners)

matlab program for advanced sine wave curve