chaosandtheheredityalgorithm

Independent Component Analysis ICA

Infrared moving target detection and tracking based on tensor locality preserving projection Hong Li a, Yantao Wei a, Luoqing Li b,*, Yuan Y. Tang c,d

说明：  smith预估控制算法的ＭＡＴＬＡＢ程序实现(smith predictor control algorithm MATLAB program realization)

This describes two ways of rotating an image 1. With black dots in between 2. Clear image received after enlarging then rotating then reducing size again

systèmes flous de supervision de mode de fonctionnement

使用IMM—EKF实现单目标跟踪，包括量测生成，扩展卡尔曼滤波，IMM算法(single target tracking)

to generate rayleigh enveloppe

matlab人脸识别代码，用了PCA降维处理，可以进行简单的人脸识别(Face recognition matlab code, using the PCA dimension reduction, face recognition can be a simple)

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)

matlab工具箱 包括测试函数 可实现函数调用(matlab toolbox includes a function call test functions can be realized)