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Simple raytracer for MATLAB.

实现了小波变换的阈值去噪算法，并实验仿真对比去噪效果(Internship wavelet threshold de-noising algorithm,)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

神经网络的matlab代码，欢迎亲们使用(The bpp neural network)

fbmc ofdm resource allocation

DK-SVD，CVPR文章 Discriminative K-SVD dictionary learning for face recognition 源码，效果好于原始SRC(DK-SVD，the source code of CVPR paper Discriminative K-SVD dictionary learning for face recognition, its has a better performance than the classical SRC classifier )

实现fisher判别方法，对标准变量建立判别函数，然后判别位置的变量的类别(Achieve fisher discriminant analysis, discriminant function to establish the standard variables, and then determine the type of the variable position)

分别使用感知机，最小二乘，SVM进行样本分类的基础算法。(Perceptron，least squares,SVM based method were used for sample classification.)

Matlab实现界面友好，光纤陀螺输出误差的allan方差分析，小波包分析提取振动信号中的特征频率。( Matlab to achieve user-friendly, allan FOG output error variance analysis, Wavelet packet analysis to extract vibration signal characteristic frequency.)

用MATLAB实现模糊控制算法，对如何进行模糊控制仿真很有帮助！！！(Using MATLAB implementation of fuzzy control algorithm, fuzzy control on how to carry out simulation helpful! ! !)