PAPR_PTS_SLM

用matlab写的一个验证卷积定理的程序，即时域的卷积对应着频域的乘积。(using Matlab write a convolution theorem certification procedures, the immediate domain convolution corresponds to the frequency domain product.)

脑波FFT变换 调用格式见m文件头部说明（下边也复制了一份） 有配套.DLL.h.lib.ctf文件，可以在C或C++环境中调用 ------------------------------------ 保存为FFT.m文件 输入参数： N：进行FFT变换的点数（要求是2的N次幂）； fs：信号的采样频率（frequency of simpling） sig：进行FFT变换的数组（一维）。 输出参数： f_sig:变换后的信号（一维数组） E_delta、E_theta 、E_alpha、E_beta分别表示δθαβ相应频段的能量加和。 other为其余频段的能量加和（供参考用） -------------------------------------------------------------------------- function[ f_sig ,E_delta , E_theta , E_alpha , E_beta , other ] = FFT( N , fs , sig )(EEG FFT transform is called m file format, see head illustrate the matching DLL files, you can be C or C++ to call------------------------ simpling) sig: to FFT transform array (one dimension). Output Parameters: f_sig: transformation of the signal (one-dimensional array) E_delta, E_theta, E_alpha, E_beta δθαβ, respectively, the energy increases and the corresponding frequency band. Other for the rest of the energy band increases, and (for reference) -------------------------------------------------------------------------- function [f_sig, E_delta, E_theta, E_alpha, E_beta , other] = FFT (N, fs, sig))

to compute sppede up robust in matlab

说明：  图像量化方式，模糊C均值 可用于图像分类(Fcm for image Quntation)

matlab simulation of MPPt of PV array

求解加噪信号的范数熵，本程序是选取单载频信号求解其范数熵(Solving the norm of the signal plus noise entropy, the procedure is to select a single carrier frequency signal solving its norm entropy)

说明：  经验模态分解的优化，达到更好的去燥效果。(The optimization of empirical mode decomposition can achieve better drying effect.)

正交频分复用源程序，交含逆快速傅立叶变换，ISI，傅立叶变换(main OFDM)

说明：  用于特征降维人脸识别等多元数据分析的主分量分析投影的Matlab代码实现。(For feature reduction and other multivariate data analysis, face recognition principal component analysis projection of the Matlab code implementation.)

这是一个数据归一化处理的程序，对于数据想要归一化处理，这是一个不错的参考。(This is a process of data normalization procedures for the data you want to normalize, which is a good reference.)