REFPROP

这个一个学习自适应滤波的好程序，里面有很多例子，可以供大家学习参考。(This a good learning process adaptive filtering, there are many examples we can learn for reference.)

MATLAB 解决 隐函数 的 方法 对解方程比较有用 implot(MATLAB to solve implicit function method of solving equations more useful implot)

ipr函数库与仿真实验程序,都是要用到的库函数。(ipr library procedures and simulation results are used in the library function.)

artificial qrs pulse generator

基于MATLAB用于提取语音信号的特征参数如倒谱，语谱等，可以方便的检测出语音信号的基频，共振峰。(Cepstrum based on MATLAB is used to extract the characteristics of the speech signal parameters such as language spectrum, can easily detect the speech signal fundamental frequency, formant.)

this octave exercise you will rst implement the k-means and GMM (Gaussian Mixture Model) clustering algorithms. Then you will create a BOW (Bag of Words) representation of sample images and use it to recognize object classes in these images

ICA an optimization algorithm with matlab.

此仿真的原理基于压缩感知理论，以LFM为采集信号，测量矩阵使用的是伯努利矩阵，恢复算法采用的是OMP算法，恢复效果不错，想学习压缩感知方面知识的可以下载仿真使用！ (The principle of the simulation based on compressed sensing theory, collection for LFM signal, measure matrix using Bernoulli matrix, recovery algorithm USES is OMP algorithms, recovery effect is good, want to learn simulation using compression perceptual knowledge can download!)

说明：  生物特征识别技术作为一种身份鉴别手段具有独特的优势。在生物特征识别系统中, 采集数据的预处 理是不可或缺的环节。以人脸识别为例, 介绍了一种在复杂背景的彩色图像中, 基于颜色和知识的生物特征预处理 方法。首先利用颜色信息从图像中分割出类肤色区域, 然后运用人脸几何特征和眼睛的提取定位人脸。仿真实验表 明, 该算法能较为准确地定位彩色图像中的正面或小角度偏转的人脸, 具有较快的运算速度。(Biometrics as an identification tool has a unique advantage. In biometric systems, collect data preprocessing is an indispensable link. To face recognition, for example, presents a complex background in color images based on color and knowledge of the biological characteristics of pretreatment. The first to use color information to separate out the classes from the image color region, and then use face extraction of geometrical features and eye positioning face. Simulation results show that the algorithm can be more accurately locate color images in a positive or small-angle deflection of the face, with a faster computational speed.)

说明：  采用区域生长法和门限法对头像进行分割，程序中代码全由自己编写，直接运行main函数即可(A regional growth method and the threshold segmentation method picture, the program code is written entirely by themselves, can be directly run the main function)