PV_model

Exercises done and repeated about digital Image processing

包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，包含位置式PID算法、积分分离式PID，包含了阵列信号处理的常见算法，MIMO OFDM matlab仿真。( PV modules contain, MPPT module, BOOST module, inverter module, It contains positional PID algorithm, integral separate PID, Contains a common array signal processing algorithm, MIMO OFDM matlab simulation.)

实现基于蒙特卡洛算法的rb粒子滤波，带有再采样步骤，针对强非线性系统，有较好的效果。(Rb-based Monte Carlo algorithm to achieve particle filter with re-sampling step, for the strongly nonlinear systems, there are good results.)

说明：  基于MATLAB解常微分方程组的详细介绍，解法分类(Solution of ordinary differential equations based on MATLAB )

A FUZZY-GENETIC ALGORITHM BASED METHOD

matlab code to perform TLI

adaptive LMS algorithùme

积分分离PID控制matlab M文件代码。 该控制里面将积分分离，在控制误差很小时才重新使用积分，这样可获得更好的控制效果。(Integral Separation PID control matlab M file code. The control inside the integral separation, re-use integral control error is very small when, so to get better control effect.)

Abstract— In the area of image processing, several methods of edge detection have been proposed till now like Sobel, Robert, Prewitt, Canny, Marr-Hildreth etc. All these methods are having their own advantages and disadvantages. In this paper a new method has been proposed for edge detection using Cellular Automata. Different rules have been applied for edge detection. The outputs are better in terms of clarity and computation time. Finally, the edge detection has been applied for detecting cancerous cells in brain. Using Cellular Automata rules helps in determining the exact location and size of tumor as edges detected using Cellular Automata are fine, continuous and clear. The results

高频小信号放大器，采用1496模拟乘法器，分为调制解调模块(High-frequency small-signal amplifier, analog multiplier used 1496, divided into modem module)