OFDM_AWGN

对原始图像 Beauty.jpg进行彩色图像处理，使画面中的以下情况得到改善： 1. Œ 整个画面光线偏暗 2.  画面在色彩上偏紫 3. Ž 皮肤上有很多的雀斑 4.  右下角偏亮(On original image Beauty.jpg, color image processing, the screen in the following situation be improved: 1. Entire screen dark screen purplish color on the skin, many freckles. Right Bright lower corner of)

飞行控制仿真，在某一状态点下，选择横侧向和纵向回路中的一个进行控制。分析系统的响应、极点位置与稳定性，能控能观等特性。(Flight control simulation, in a state, select a control in the horizontal lateral and vertical loop. Analysis system response, the pole position and stability, controllability and observability, and other features.)

C/C++中调用MATLAB引擎的数值仿真的实现，运行环境：VC＋＋6、matlab6 注意事项：微分方程文件“fun.m”放在matlab的work目录下。(C/C++ Call the MATLAB engine numerical simulation of the realization of operating environment: VC 6, matlab6 Notes: Differential Equations document )

关于qpsk的调制解调的MATLAB仿真源代码，另附有仿真图。(Qpsk the modem on the MATLAB simulation source code, attach a simulation map.)

fastica用于信号处理系统的源码，希望大家多分析多学习(FastICA for signal processing systems source code, I hope everyone more and more analysis of learning)

matlab绘制不同概率各种占空比的矩形随机信号的功率谱密度，本人亲自编写，代码精简效率高，且结果准确（网上流传的各种绘制矩形随机信号功率谱密度的matlab代码能画对的极少见...).(matlab draw rectangle with different probabilities of various duty cycle of the power spectral density of random signals, I am personally prepared, the code streamlined efficient and accurate (spread of the Internet to draw rectangles of various random signal power spectral density matlab code to draw on the rare ...).)

单位圆的内插实现，里面有4种内插算法：拉格朗日插值、牛顿插值、分段线性插值、分段样条插值、以及插值误差范数估计等等(Interpolation to achieve the unit circle, which has four kinds of interpolation algorithms: Lagrange interpolation, piecewise-linear interpolation, sub-spline interpolation, as well as Norm interpolation error estimates, etc.)

struct2的一个列子，简单的描述了struct2的配置和测试使用(A Lie struct2 and simple description of the configuration and testing of the use of struct2)

WENO SCHEME WITH RELATIVE LIMITERS FOR EULER EQUATIONS

用matlab进行概率密度函数的非参数估计，主要有parzen窗法和kn近邻法。分别对平均分布和正态分布进行了仿真。(Non-parametric estimation of the probability density function using matlab, main the parzen window method and kn nearest neighbor method. The average distribution and normal distribution were simulated.)