LMS toolbox LMS的工具箱。 内有多个有关LMS和RLS的m文件！

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.)

运用FRFT在OFDM系统中的仿真与最佳角度的探究(FRFT in OFDM systems using simulation and explore the best angle)

This m file analyzes a coherent binary phase shift keyed(BPSK) and a amplitude shift keyed(ASK) communication system. The receiver uses a correlator(mixer-integrator[LPF]) configuration with BER measurements comparing measured and theoretical results. The bandpass and low pass used in the receiver are constructed using z transforms. (This m file analyzes a coherent binary phas e shift keyed (BPSK) and a amplitude shift keyed (ASK) communication system. The receiver uses a correlator (mixer-integrator [LPF]) config Education and other BER measurements comparing with measu red and theoretical results. The bandpass and l ow pass used in the receiver are constructed usi Vi z transforms.)

用不同颜色散点直观描述信号在星座图上概率分布，(Describe the distribution and probability of signals with different colors in the constellation diagram,)

基于simulink500kV电力系统的静止同步补偿器(STATCOM)仿真(Simulation of static synchronous compensator (STATCOM) based on simulink500kV power system)

基于对网络图的节点和连线的表示，建立了以弧集为基础的粒子群算法，用来解决旅行商最短路程优化问题，程序中网络图每次生成皆为随机

应用背景学习LMS算法的一个很好的例子，代码实现很简练,非常适合初学者学习用。希望对初学者能有所帮助。学习LMS算法的一个很好的例子，代码实现很简练,非常适合初学者学习用。希望对初学者能有所帮助。学习LMS算法的一个很好的例子，代码实现很简练,非常适合初学者学习用。希望对初学者能有所帮助。学习LMS算法的一个很好的例子，代码实现很简练,非常适合初学者学习用。希望对初学者能有所帮助。关键技术本LMS算法通过MATLAB实现，实现较为简单易懂，希望对大家有所帮助。本LMS算法通过MATLAB实现，实现较为简单易懂，希望对大家有所帮助。本LMS算法通过MATLAB实现，实现较为简单易懂，希望对大家有所帮助。本LMS算法通过MATLAB实现，实现较为简单易懂，希望对大家有所帮助。本LMS算法通过MATLAB实现，实现较为简单易懂，希望对大家有所帮助。

EM算法的MATLAB实现,EM算法是HMM中用于随机过程模型参数训练的经典算法-the inplement of algorithm EM with MATLAB，the algorithm is a claasical mathod which is used to train the patameter of the HHM model.

project using qpsk in cdma environment

使用simulink对锂电池进行建模，电池的参数随SOC的变化而变化，精度很高(Simulink modeling of lithium batteries, battery parameters change with the changes in the SOC, high precision)