base-plate

说明：  一个FLSAH翻书动画源码很好很实用。。。。。。。。(A good source FLSAH open book animation very practical. . . . . . . .)

数学变换和滤波fft程序 kfour 傅里叶级数逼近 kkfft 快速傅里叶变换 kkfwt 快速沃什变换 kkspt 快速三次平滑 klman 离散随机系统的卡尔曼滤波 kkabg α-β-γ滤波(Fft math transformation and filtering procedures kfour Fourier series approximation kkfft Fast Fourier Transform Fast Walsh Transform kkfwt rapid kkspt three smoothing klman discrete stochastic system Kalman filter kkabg α-β-γ filter)

The method mainly consists in considering a reference normal ECG segment and input ECG (unknown behavior) segment. Each segment of the input ECG T is compared to the reference segment using SEA. The SEA method outputs a measure in the range [0..1] in terms of the correlation factor that reflects the degree of similarity between the reference and the segment under analysis. Based on this measure, the whole segment is classified as normal or abnormal. A user specified threshold value on the correlation factor c is used for decision

摄像机标定程序：用matlab语言编写，zhang是主程序，请参考test以了解调用的方法(camera calibration procedures : using Matlab language, the main program is zhang, Please refer to test to find out the calling method)

mu-law quantizer for Matlab

说明：  多线性主成分分析的MATLAB源代码 最初用于人脸识别和步态识别 后被扩展到其他应用领域(The codes implement two algorithms: Multilinear Principal Component Analysis (MPCA) and MPCA+LDA.)

模型参考自适应控制的MIT方法。输入为一单位阶跃信号，自适应律为积分适应律。(MIT model reference adaptive control method. Input is a unit step signal, adaptive law is an integral adaptation law.)

说明：  简单的GA算法,适合想要学习遗传算法的初学者好好看看(a simple example of GA)

A multi-target tracking toolbox based on the MTT Library of the InstantVision ISE with expanded functionality and tools for off-line design, analysis and testing. The toolbox contains the implementation of distance calculation methods (e.g. city-block based), data assignment and association strategies (e.g. ENN and JVC), state prediction filters (e.g. IMM) with video marking and debugging tools in order to support a complex multi-target tracking system design.

this program will help you to perform LDA and PCA signal processing tools for classifing