imageencryption

说明：   接收设备能对外界信息正确的接收、分析、处理的重要性是不言而喻的,它关系到社会的发展、人类的进步。然而在有用信号中往往伴随着噪声的存在。这种噪声分为电路内部固有的噪声与系统装置从外部接收而来的噪声。电路内部的噪声是系统固有的，与外界干扰无关，它可以通过对电路的合理设计、选择合理的元器件而得以控制。外部噪声主要由近几年的电子技术的高速发展，电子、电气设备的广泛应用而带来的电磁干扰引起的。这种噪声现象在工业发达的城市非常突出，它对各种系统接收装置的影响也越来越严重，使得这些系统装置不能正常工作，使得这些系统装置性能降低，甚至使得这些系统装置受到损坏。战胜噪声已是现代电子技术发展道路上必须逾越的巨大障碍。要解决噪声带来的问题需要我们从最基本的干扰源、信息传输通道（信道）、系统装置电路下手。(The receiving device and system noise)

一个关于陀螺转动的简单模拟程序,是用MATLAB编写的.(a rotating gyroscope on the simple simulation program is prepared by using MATLAB.)

已知训练序列的LBG算法的matlab实现，(LBG algorithm matlab realize the known training sequence,)

说明：  matlab 数字信号处理 FFT的频谱信号分析Matlab示例程序(The MATLAB signal spectrum analysis)

This directory includes matlab interface of the curvelet transform using usfft. Basic functions fdct_usfft.m -- forward curvelet transform afdct_usfft.m -- adjoint curvelet transform ifdct_usfft.m -- inverse curvelet transform fdct_usfft_param.m -- returns the location of each curvelet in phase-space Useful tools fdct_usfft_dispcoef.m -- returns a matrix contains all curvelet coefficients fdct_usfft_pos2idx.m -- for fixed scale and fixed direction, returns the curvelet which is closest to a certain point on the image Demos fdct_usfft_demo_basic.m -- display the shape of a curvelet fdct_usfft_demo_recon.m -- partial reconstruction using curvelet fdct_usfft_demo_disp.m -- display all the curvelet coefficients of an image fdct_usfft_demo_denoise.m -- image denoising using curvelet(This directory includes matlab interface of the curvelet transform using usfft. Basic functions fdct_usfft.m-- forward curvelet transform afdct_usfft.m-- adjoint curvelet transform ifdct_usfft.m-- inverse curvelet transform fdct_usfft_param.m-- returns the location of each curvelet in phase-space Useful tools fdct_usfft_dispcoef.m-- returns a matrix contains all curvelet coefficients fdct_usfft_pos2idx.m-- for fixed scale and fixed direction, returns the curvelet which is closest to a certain point on the image Demos fdct_usfft_demo_basic.m-- display the shape of a curvelet fdct_usfft_demo_recon.m-- partial reconstruction using curvelet fdct_usfft_demo_disp.m-- display all the curvelet coefficients of an image fdct_usfft_demo_denoise.m-- image denoising using curvelet)

稳态kalman滤波算法仿真通式 本程序考虑线性离散时不变随机系统。系统模型为x(t+1)=fai*x(t)+gama*w(t) y(t)=H(t)*x(t)+v(t)。有6个参数：状态转移阵fai，输入噪声系数gama，观测阵H，输入 噪声方差Q，观测噪声方差R，观测y( Steady-state kalman filtering algorithm simulation program to consider the general form linear discrete time-invariant stochastic system. System model x (t+1) = fai* x (t)+ gama* w (t) y (t) = H (t)* x (t)+ v (t). There are six parameters: state transition matrix fai, input noise figure gama, observation matrix H, enter noise variance Q, observation noise variance R, observation y)

Fountain code implementation over ersaure channel

SPWM technique for Three Phase Inverter

this is the code for canny edge detection of image using matlab.

灰度共生矩阵和灰度梯度共生矩阵的提取方式，是比较重要的纹理特征提取方法，用matlab实现的(co-occurrence matrix and GGCM extraction, is the more important Texture feature extraction methods, achieved using Matlab)