SimPowerSystems-powerflow

in this project data is hiding by LSB stegnography the shifting opertor is used to shift the data

说明：  通过训练jaffe数据库，实现识别人脸高兴、惊讶、恐惧、生气等六种表情，并圈出。可调用电脑摄像头实时监测。内附有使用说明，可以使用。仅供学习参考。(Through training Jaffe database, six kinds of facial expressions, such as happiness, surprise, fear and anger, are recognized and circled. Real-time monitoring with a computer camera can be invoked. With instructions for use, it can be used. For learning reference only.)

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))

lowpass enhancement of an image

说明：  利用matlab编写的自适应最小二乘滤波程序(Matlab prepared using least squares adaptive filtering procedure)

一种基于峰度的ICA,实现的盲声源分离。(ICA based on kurtosis, blind source separation achieved.)

design EKF for low cost INS/GPS

本例研究利用Matlab工具箱的BP网络仿真某系统故障的预测,假设3个故障的样本分别为(1 1 0), (0 1 1)(1 0 1), 3个故障分别编码为(1 0), (0 1), (1 1),下面利用BP工具函数设计网络,用自适应学习率算法进行BP的设计、训练和仿真。(cases using the Matlab toolbox BP network simulation of a system fault forecast Assuming three fault samples were (1 1 0), (0 1 1) (1 0 1) three failures were coded as (1 0), (0), (1), below BP network design tool function, Adaptive learning rate BP algorithm design, simulation and training.)

otsu thresholding method

this program simulate a turbo equalizer for known and unknown channel for 16 qam