GLOBALIZACION_CALENTAMIENTO

这是雷达动目标检测的matlab实现方法，使用了FFT和FIR两种方法(This is a moving target radar detection matlab implementation methods, the use of FFT and FIR in two ways)

一个关于卫星导航方面的ekf滤波程序，请大家互相共享一下(a satellite navigation on the ekf filtering process, please share what each other)

3phase power converter using sync 6-Pulse Generator

说明：  PSO scripts collection for matlab

k means algorithm in matlab m-file which has a calling function

完成傅里叶的变换，将时间域的信号转换到频率域(The complete Fourier transform converts the signal of the time domain to the frequency domain)

根据手机号码判断城市，需要手机号码7字段对应城市的信息。(According to cell phone number to determine the city, needed a mobile phone number 7 corresponds to the city' s information field.)

说明：  分形分析中很重要的Hurst指数的计算程序,并包含Hurst指数等于0.7和0.8的两个样本序列(Fractal Analysis of a very important Hurst index calculation program, and includes Hurst index equal to 0.7 and 0.8 in two samples of sequences)

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.)

线性卡尔曼滤波，二维状态空间模型一般的卡尔曼滤波(kalman fitering)