gdfm_toolbox_1.3

基于GABOR的人脸识别,自己写的.有中文说明(Face Recognition Based on Gabor, wrote it myself. A Chinese explanation)

MATLAB及其在理工课程中的应用指南，详细的配备各个源程序，帮助初学者很好掌握。(MATLAB and its application in the Application of Science and Technology Curriculum Guide and detailed with all the source code to help the beginner a good grasp.)

粗糙集源码最新的，详细会对挖掘很有帮助，有时间看看吧(Rough Set-source-to-date, detailed excavation will be very helpful to have time to look at it)

TM4C基础学习实验，交通信号灯控制编程实验(TM4C based learning experiments, traffic signal control programming experiment)

INSULATION CO-ORDINATION SUBMITTED BY Rafael

用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,单径或多径瑞利衰落信道仿真，有小波分析的盲信号处理。( Monte Carlo simulation method of calculating the American option price and basic description, Single path or multipath Rayleigh fading channel simulation, There Wavelet Analysis Blind Signal Processing.)

for signal processing

objct-c aop编程，使用Method Swizzling方法

实现维纳滤波用于语音增强。第一步采用频域谱函数计算最佳的维纳滤波器，再对输入带噪信号进行滤波；第二步是在此基础上的改进，用了自适应的思想，及时根据当前帧的状态更新修正滤波器的系统函数，得到更精确的无噪语音信号。第三步是采用自适应LMS方法，在时域迭代计算滤波器系数，迭代次数足够多时可得到较准确的有用信号。(Implement wiener filtering used in speech enhancement. First step optimum wiener filter is obtained by using the frequency spectrum function, again to input the signal with noise filtering The second step is the improvement on the basis of this, with the idea of adaptive, and in a timely manner according to the current frame updates correction system function of the filter, get a more accurate without noise speech signal. The third step is to use the adaptive LMS method, iterative calculation in time domain filter coefficient, the number of iterations enough to get the useful signal accurately.)

The result of the program is uncompensated and compensated plot of the control system.