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用MATLAB编写Harris提取算子的具体算法(Harris prepared using MATLAB operator specific algorithm for extracting)

说明：  英格尔著作《Digital Signal Processing Using MATLAB》一书中所有源代码打包(Ingle book &quot Digital Signal Processing Using MATLAB&quot , a book all the source code package)

Subcarrier allocation in mimo-ofdma

最大功率输出控制的光伏发电系统，通过输出功率作为反馈信号控制输入电压，是系统处于最大功率输出。(Maximum power output of photovoltaic power generation system controlled by the output power control input voltage as a feedback signal, the system at the maximum power output.)

本matlab程序用DFP法求解多元模型的最小值（给出初始点和精度要求条件）。(The matlab program using DFP method for solving the minimum multivariate model (given initial point and precision conditions).)

计算高斯-勒让德求积，直接调用函数即可。(Calculate the Gauss-Legendre quadrature.)

该文件夹里的内容是接收分集技术中的MRC(最大比接收算法)的matlab程序实现。(The contents of the folder is receive diversity techniques MRC (maximal ratio to receive algorithm) matlab programming.)

应用matlab求极值和求根的方法，并配有仿真程序和结果，可以用于数值实验时使用(Application matlab extremum and rooting, and with a simulation program and results can be used for numerical experiments)

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))

This program is to simulate the Rayleigh fading channels using a p-th order autoregressive model AR(p)