targettracking

说明：  This is an induction motor simulation using simulink. The parameters can be selected by the user and results are good.

利用串口或者蓝牙的通信方式将采集到的心电数据绘制成波形，并与matlab混合编程实现小波分析(Using serial or Bluetooth communication will be collected ECG data plotted waveform, and Hybrid Programming with matlab wavelet analysis)

pattern classification homework 3

语音识别中的模型和算法：动态时间归正技术（DTW），隐马尔可夫模型（HMM），高斯混合模型（GMM），高斯混合模型（GMM）(Speech Recognition model and algorithms : dynamic time Reformed technology (DTW) Hidden Markov Model (HMM), Gaussian mixture model (GMM), Gaussian mixture model (GMM))

冈萨雷斯数字图像处理课本相配套的第二章matlab代码，代码里面有详细的解释，适合初学者同步学习。(Gonzalez digital image processing textbooks matching matlab code, the code which has a detailed explanation of synchronous learning for beginners.)

fusion method for panchromatic images

This is used for contrast streching in an image to improve the image quality.

本程序在MATLAB环境下仿真了基于宽带信号的通道均衡的FIR算法，给出了利用FIR均衡后的效果。(This procedure in the MATLAB simulation environment based on the wideband signal channel balanced FIR algorithm, is given after the use of FIR balanced results.)

这是一个经典的形变模型实施,在一个单一的文件用简单的可以理解的代码。 功能包括两部分一个简单的弱分类器和一个促进部分: 弱分类器试图找到最佳阈值的数据维数对数据进行分离成两个阶级1和1 要求的进一步提高分类器部分迭代,每一步是变化分类权重miss-classified例子。这造成了一连串的“弱分类器”,表现得像一个“强大分类器” (This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1 The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier" . )

ica for pid design project