PGM_Programming_Assignment_2

说明：  计算测地距离，测地距离是众多距离的一种，在高维流行数据分布空间上，欧式距离不再适用，这时就可用到欧氏距离(Computing geodesic distance, geodesic distance is a large distance, popular in high-dimensional data distribution space, the Euclidean distance is no longer applicable, then you can use the Euclidean distance)

Do you like conveter a sound signal at matlab codification??

基于MRAS(模型参考自适应)方法的永磁同步电机控制MATLAB仿真模型（已调试,效果较好）(Based on MRAS (model reference adaptive) method of permanent magnet synchronous motor control MATLAB simulation model (has debug, better))

Pso matlab program，粒子群matlab计算程序，具体看内部注释(Pso matlab program, Particle Swarm matlab calculation program, specifically to see the internal comments)

Traveling Salesman Problem - Genetic Algorithm

通信系统中利用周期图谱方法进行谱估计的MATLAB程序(Communication system cycle map method for spectral estimation using MATLAB program)

Medical image processing is the most challenging and emerging field now a days. Processing of MRI images is one of the part of this field. This paper describes the proposed strategy to detect & extraction of brain tumour patient’s MRI scan images of the brain. This method incorporates with some noise removal functions, segmentation and morphological operations which are the basic concepts of image processing. Detection and extraction of tumour MRI scan images of the brain is done by using MATLAB software.

MATLAB实现（7，4）汉明码编码 生成矩阵可以更改有注释 方便更改(MATLAB implementation (7,4) hamming code generator matrix can be changed easily to change a comment)

自适应滤波器是一种参数可自适应调整的有限冲激响应(FIR)数字滤波器，具有非递归结构形式。介绍了自适应滤波器的基本原理，用LMS自适应算法来仿真，得到LMS算法在自适应滤波中的收敛特性。(Adaptive filter is an adaptive adjustment of parameters can be finite impulse response (FIR) digital filter, with a non-recursive structure. Describes the basic principles of adaptive filter with LMS adaptive algorithm simulation, LMS algorithm in adaptive filtering convergence characteristics.)

采用PCA提取人脸特征,先计算M个图像的平均值脸，再求出各特征值脸。(Using PCA for face feature extraction, first calculate the average face image of M, and then find the face value of each characteristic.)