midiprocess

matlab图像处理命令，初级阶段资料，多多自习。(matlab image processing commands, the initial stage of the information, a lot of self-study. )

支持向量机学习中用到的用Matlab编写的工具箱。(support vector machines used in the study prepared by using Matlab toolbox.)

用matlabGUI界面实现了不同方法的功率谱估计(Power spectrum estimation GUI)

统一设定带宽、脉宽、采样率、脉冲重复频率，用Matab产生16个脉冲的LFM，每个脉冲有4个目标（低速，静止，高速，低速），第3个目标的距离、速度与学号有关。前3个目标的幅度相同，第四个目标幅度是前三个的一半。且距离与第2个静止目标相同。 依次做如下处理： 1 脉压 2 脉压后，相邻2脉冲做MTI（即相邻2个脉冲对应相减），产生15个脉冲 3 脉压后，16个脉冲到齐后，做MTD，输出16个多普勒通道 4 对MTD结果做CFAR（恒虚警） (Unified set bandwidth, pulse width, sampling rate, pulse repetition frequency, and produces 16 pulses Matab LFM, with four goals each pulse (low-speed, static, high-speed, low speed), the first three goals of distance, speed and Student ID related. The first three goals of the same magnitude, and the fourth target range is half of the first three. And from the stationary target with the first two the same. Followed by treatment as follows: 1 pulse 2 pulse pressure, the adjacent two pulses do MTI (that is adjacent to two pulses corresponding to the subtraction), resulting in 15 pulse 3 pulse pressure, 16 pulses in attendance after doing MTD, 16 Doppler channel output 4 MTD results do CFAR (CFAR))

kernal adaptive filtering

Kmedoid 是类似于Kmean的Clustering method。(Kmedoid is similar to Kmean the Clustering method.)

基于matlab的车牌识别图像预处理，图像灰度图像腐蚀(Based on license plate recognition matlab)

两自由度比例前馈simulink模型，测四轮转向的质心侧偏角和横摆角速度(Two degrees of freedom ratio feedforward simulink model, measuring four-wheel steering center of mass of side-slip Angle and yawing angular velocity )

车牌定位系统的目的在于正确获取整个图像中车牌的区域，并识别出车牌号。(The purpose of plate positioning system to obtain the correct license plate area in the whole image, and brand recognition out of the bus.)

说明：  脉冲不变法变换巴特沃思低通滤波器设计 基于matlab仿真编程(pulse unchanged France transform Butterworth low-pass filter design based on Matlab simulation programming)