pv_mppt

image regognition using matlap and improving. done by me in lab session

Spline2D is a work in progress. Currently it only matches C0 (continuous function) not C1 (continuous in 1st derivative) or C2 (continuous in 2nd derivative), which will be added later.

该函数使用matlab对运动情况下的心电信号做快速傅里叶变换，并加汉宁窗函数进行滤波(The function uses Matlab ECG movement fast Fourier transform, Hanning window function filtering)

包括图像分析的四部分代码：matlab扩散和高斯函数，线性扩散，线性复扩散，非线性扩散。(It contains four parts： [1]MATLAB function:diffusion.m gauss.m [2]Linear diffusion Applying linear diffusion to images creating linear scale-space. MATLAB code: demo_lin.m Image: haifa1.bmp [3]Linear complex diffusion Applying linear complex diffusion creating Gaussian and Laplacian scale-spaces. MATLAB code: demo_cmplin.m [4]Nonlinear diffusions: Perona-Malik ["Anisotropic diffusion"] Catte et al. regularization of P-M Complex ramp-preserving diffusion Nonlinear edge preserving diffusions.The classical Perona-Malik process: the value of the diffusion coefficient is reduced near edges estimated by the first derivative. Best applied to step edges. A regularized version by Catte et al- the gradient estimation for controlling the process is smoothed by a Gaussian. Proved to be mathematically well-posed. Ramp preserving complex diffusion- best for ramp-type edges. Results are smoother with almost no staircasing effects. MATLAB code: demo_nldif.m Image: ct_scan.bmp)

This is a m.file that buid the map from sensor (like laser). Previous you will need info from some mdl.file s simulink. Basically: First Run the mdl.file and after rund de m file.

有相位跳变的单频信号，信号时域波形的刻画和FFT程序。注释完整，可读性高。(a single-frequency signal with phase jump and its FFT is described in this program and the explain is detailed, easy to read.)

说明：  用于辨识,仿真,化工冶炼金属时控制过程曲面(for identification, simulation, chemical metal smelting process control surfaces)

simulated OFDMA signal using Matlab

一种新的快速傅立叶变换的程序-Matlab实现(A program for a new fast Fourier transform)

MU-MIMO中的贪婪算法的MATLAB程序。(Greedy user pairing algorithm in MU-MIMO.)