MATLAB-in-electronic-class

提取图片中数字的MATLAB程序，先将读入图片二值化，然后提取数字。(abstract the numbers in the picture by MATLAB。)

辛苦搜集的频谱切换方面的源程序，给大家分享一下(Hard to collect spectral switching of the source, to share with you)

离散频谱校正，采用加hanning窗的能量重心法校正，程序已实际验证(Discrete spectrum correction, correction with adding hanning window energy gravity method, program has been the actual authentication)

MATLAB中基本遗传算法对于排课问题的源代码。(The source code of the basic genetic algorithm for arranging class problems in MATLAB.)

用动态规划求解最短路问题的MATLAB程序。需输入带权邻接矩阵，输出为最短路径和最短路长。(Dynamic Shortest Path Problem Solver of the MATLAB program. Required to enter the weighted adjacency matrix, the output for the shortest path and shortest path length.)

this is matlab code to solve tveq problem using CS!!

Performs discrete total variation denoising (TVD) using a primal-dual interior-point solver.

实现圆的绘制在绘制时要添加相关的参数，以免出错。(to draw a circle,this circle can be in special type,it can be drawn easily with less time be cost.)

文件中包含word文档报告 设雷达采用匹配滤波完成脉冲压缩，采集频率fs=420MHz，仿真雷达回波，并绘出家Hamming窗前后的脉压波形。（提示：通过正确设定采集波门，减少数据量） 设雷达采用Dechirp方式完成脉冲压缩，其中参考距离位于（0，0），采集频率为10MHz，距离采样点数512点，仿真雷达回波，并绘出加Hamming窗前后的脉压波形（提示：通过正确设定采集波门，减少数据量）。(Word document file contains the report of the completion of matched filter-based radar uses pulse compression, gathering frequency fs = 420MHz, simulation of radar echo, and draw the house after the pulse pressure waveform Hamming window. (Hint: By setting the correct collection wave door, reducing the amount of data), based radar uses pulse compression Dechirp manner, in which reference distance at (0,0), collection frequency of 10MHz, from the sampling points 512 points, simulation, radar echo, and draw the increase of pulse pressure waveform after the Hamming window (hint: set up collection waves through the correct door, reducing the amount of data).)

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):