wimanysemilogx

Gait extraction toolbox which is used in matlab abd very useful for human activity recognition

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目标跟踪中的粒子滤波器进行了100次Monte carlo 仿真（输出航迹图和误差曲线）(Target tracking in a particle filter 100 Monte carlo simulation (output track map and the error curve))

一直在芯片上编程，今天有空用matlab仿真了一个PMSM控制系统，采用了FOC控制算法，上传分享下！FOC,SVPWM可以借鉴。文件时MDL格式的(A matlab simulation using a PMSM control system, use the FOC control algorithm, FOC, SVPWM can be used for reference. MDL format file)

合成孔径雷达 距离多普勒算法 RDA sar距离多普勒算法RDA sar距离多普勒算法RDA(sar RDA)

BPSK信号功率谱密度的MATLAB编程代码，运行得到波形。(BPSK signal power spectral density of the MATLAB programming code that runs waveform.)

SAR图像精配准，最小二乘算法,输入输出为s7,s8,Realh(粗配行偏移)，Reall(粗配列偏移)(SAR image coregistration,LMS)

说明：  最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數，以類比所需理想濾波器的自適應濾波器，其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正，是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)

This matlab code is used to reconstrcute 2D image by 2D_FFT.But we must resample the collected data by 2D interpolation.This method is useful and can be used in the real-time condition.

此程序是粒子滤波和扩展卡尔曼滤波器的比较，具有很强的针对性(This procedure is the comparison of particle filtering and extended Kalman filter, is highly targeted)