detect_face

主要是基于extreme learning machine的改进算法，结合了增量学习(It’s mainly based on the extreme learning machine improvement algorithm, unified the increase study )

说明：  基于分形理论谱峰检测研究，分形算法。。。。。。。。。。。。。。。。(aaaaaaaaaaaaaaaaaaaaaaa)

MATLAB实现感知器操作，用于智能优化实验(MATLAB realization of sensor operation, intelligent optimization experiments for)

forming pdu of MAC layer of Wimax

利用牛顿法数值计算光纤的传播常数，这样利用传播常数与色散的关系，就可以画出光纤的色散曲线(Numerical calculation using Newton' s method the fiber propagation constant, so that the use of the propagation constant and the dispersion relations, we can draw the dispersion curves of optical fiber)

infinite impulse response filters (IIR).. included LPF,HPF, BPF and BSF.. both butteworth and chebyshev..

说明：  k均值聚类算法（k-means clustering algorithm）是一种迭代求解的聚类分析算法，其步骤是，预将数据分为K组，则随机选取K个对象作为初始的聚类中心，然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。(The k-means clustering algorithm is an iteratively solved clustering algorithm in which the data is pre-divided into K groups, the K objects are randomly selected as the initial clustering center, and then the distance between each object and the seed clustering center is calculated, and each object is assigned to the clustering center closest to it.)

This is a code for comparison of 2-PAM, 4-PAM and 8-PAM. Generates a graph of each of the PAM on same figure, easily comparable. Code of 2,4 and 8-Pam included.

时频分析工具包，可用于非平稳信号处理，for matlab(This is the Time-Frequency Toolbox, a collection of about 100 M-files , developed for the analysis of non-stationary signals using time-frequency distributions. It consists in groups of signal generation files, processing files and post-processing files (including visualization tools). The toolbox contains numerous algorithms for time-frequency signal analysis, with special emphasis on quadratic energy distributions within Cohen s class and the affine class, including most recent developments based on reassignment. The Time-Frequency Toolbox has been developed by Francois Auger, Olivier Lemoine, Paulo Gonlv and Patrick Flandrin during the years 1995-1996. Later, modifications for Matlab 5 were made available.)

here are all the turbo codes in matlab where to the final of the simulation make a comparation of the S/N of each one of the models