Result-Analysis-of-Random-forest

matlab background stimation whit running mode and RLS

说明：  使用遗传算法求解TSP问题,文档文件里为坐标点，.m文件为程序源代码。(Genetic Algorithm for Solving the TSP Problem. )

对锅炉现场数据辨识后，分别采用GPC和DMC进行控制，采用m文件进行编程。(The boiler field data identification, respectively GPC and DMC control, use the m file programming.)

国外的人写的运动检测跟踪的源码，用matlab编写(Sports Detected source tracking using matlab to prepare)

图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应： 式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线): 1）横向/格-梯型结构LMS算法 2）横向/格-梯型结构RLS算法 并分析其结果。(Figure 1 is a band-limited signal caused balanced horizontal or lattice distortion adaptive equalizer (FIR system in which the lateral length M = 11), the system input is the value of a random sequence of ± 1, mean zero reference signal channel has impulse response: Wherein the amplitude of the distortion for the control channel (W = 2 ~ 4, and so as to take W = 2.9,3.1,3.3,3.5), and subjected to a channel with zero mean and variance (equivalent SNR is 30dB) Gaussian white noise. Compare the following types of algorithm-based adaptive equalizer in a different channel distortion, the convergence of different noise interference (corresponding to each situation, draw their learning curve in the same coordinate): 1) landscape/grid- LMS algorithm ladder structure 2) landscape/grid- RLS algorithm ladder structure And analyze the results.)

matlab电力电子技术仿真的实现，真的很实用，帮了我很多，现在跟大家分享(matlab simulation of power electronic technology to achieve, really practical, helped me a lot to share with you now)

This is ACE POCS Method use in PAPR reduction

用于产生QPSK调制信号的程序。有噪声，并经成型滤波器滤波，很实用(For QPSK modulation signal generator. Noise, and by shaping filter filter, it is practical)

mfa的源码，老外写的，很不错，需要时直接在相关文件中修改参数即可~(the code of mfa)

Chi Square Test for Independence: calculuate the chi square of a vector and the critical value.(Chi Square Test for Independence : calculuate the chi square of a vector and the Kearns Dept.of value.)