facedetection(matlab)

HDMI 中文完全手冊，从基础到提高全面介绍HDMI(HDMI Chinese fully manual, from the basics to improve the overall description is HDMI)

完整的遗传算法函数Matlab程序，供交流学习(The complete function of Matlab procedure genetic algorithm)

HHT变换，用于实现希尔伯特黄变换，源代码附上(Hilbert transform)

处理光纤的偏振串音和直播导消光比的matlab语句，其中将直播导偏振串音换算为角度进行积分再换算回偏振串音(Processing fiber polarization crosstalk and live large extinction ratio matlab statement, which will be broadcast live guide polarization crosstalk in terms of angle points and then converted back to the polarization crosstalk)

这个程序关于语音信号的消噪，实现了一个基于递归最小二乘法的自适应噪声抵消器(This program about the speech signal de-noising, implements a recursive least squares based adaptive noise canceller)

利用随机序列生成跳频序列，用于跳频通信并给出误码吕曲线。(Use of random sequence to generate frequency-hopping sequence for frequency hopping communication and give BER curves Lv.)

说明：  盲信号分离中性能评价的串音误差分析的MATLAB程序(Performance Evaluation of blind signal separation in crosstalk error analysis of MATLAB program)

关于近来很火的灰色预测理论的matlab的源代码，移植性好，与诸位学友共同分享，共同进步(About the grey prediction theory recently very fire matlab source code, good portability, xueyou with share, make progress together)

说明：  信号SG平滑滤波Matlab程序仿真，简单实用，对信号的前期处理很有用(SG signal smoothing filter Matlab simulation program, simple and practical, pre-treatment of the useful signal)

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)