DC14Sample

几个经典的测试函数，sphere schaffer ackel girewank rosenbrock(Several classical test functions, sphere schaffer ackel girewank rosenbrock)

此函数用于求得多重小波变换后的低频小波系数，在matlab自带的函数基础上改的。(this function to obtain multiple wavelet transform the low-frequency wavelet coefficients, In Matlab built-in function on the basis of reform.)

多目标跟踪，基于EKF，UKF和GMPHD算法，对目标数目，观测量等进行估计(multi-target tracking )

说明：  钢琴曲子中的单音的识别方法（及该方法的计算过程(Piano music in the tone of the identification method (and the method of calculation)

这是关于图像翻转，旋转，缩放等变换的MATLAB源程序，以函数的形式写出来。(This is about image rotation, zooming transform MATLAB source code, written in the form to function.)

Face recognition using L1 norm minimization 1.0 :Read the following paper for details of the algorithm - Robust Face Recognition via Sparse Representation by John Wright, Arvind Ganesh, and Yi Ma , Coordinated Science Laboratory, University of Illinois at Urbana-Champaign and Allen Yang, Electrical Engineering and Computer Science, University of California Berkeley.

预测人口时可以用到，用matlab编程计算出人口数据(Can be used to predict the population, population data calculated using matlab programming)

This toolbox provides routines for working with multiwavelets (which includes scalar wavelets as a special

摘要 本文提出了一种新的基于极大似然法的椒盐噪声滤波算法。在传统BP 算法中引入 了极大似然估计，在训练样本时能够在考虑网络逼近行为的同时对噪声分布进行估计。而且 针对椒盐噪声模型构造了新的鲁棒误差函数，从而使算法本身的抗干扰性增强。实验结果表 明了该算法与传统BP 算法相比具有更好的滤波性能。(Abstract This paper presents a new maximum likelihood method based on impulse noise filter. In the traditional BP algorithm, the introduction of the maximum likelihood estimation, the training samples can also be considered acts of the network approach to estimate the noise distribution. Salt and pepper noise and model construction for a new robust error function, so that the enhanced anti-jamming algorithm itself. Experimental results show that the algorithm compared with the traditional BP algorithm has better filtering performance.)

一个关于印章识别的程序，能很好的学习Gui用的模式识别中判别函数法。(A seal of recognition on the program can be good learning Gui with the discriminant function method in pattern recognition.)