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神经网络中的sofm算法的具体运用及程序实现，很有启发性(Sofm neural network algorithm and procedures used to achieve specific, very enlightening)

infinite HMM Refer to Beal s Paper Applying Gibbs Sampling in inference the number of states of HMM is changeable in this algorithm, based on Dirichlet Proce(infinite HMMRefer to Beal s PaperApplying Gibbs Sampling in inferencethe number of states of HMM is changeable in this algorithm, based on Dirichlet Proce)

分别用BP神经网络和RBF神经网络实现近红外光谱的汽油辛烷值预测，两种方法用相对误差以及决定系数进行性能评价，最后绘制图仿真曲线。有较为详细的注释，并有仿真数据(Respectively with BP neural network and RBF neural network Near Infrared Spectroscopy Gasoline Octane prediction, two methods relative error and the coefficient of determination for performance uation, the final sketch simulation curve. There are more detailed comments, and a simulation data)

产生64QAM基带通信系统发射机：基带成型滤波采用3种方式（1）采用每个符号调制一个成型滤波函数，然后将各个函数进行时域叠加的方法； （2）采用信号与低通滤波器响应函数卷积的方法；（3） matlab自带的升余弦函数(Produce 64QAM baseband communication system transmitter: baseband shaping filter uses three ways (1) the use of a molding each symbol modulation filter function, and then each time domain overlay function (2) the use of signals and low-pass filter response function convolution method (3) matlab comes with a raised cosine function)

说明：  AR.m的matlab源程序，用于预测模型使用，别人给的！(AR.m matlab source code for the prediction model using someone else' s!)

核查的关键在于对核材料属性准确、有效地识别[1][2]。利用252Cf作为随机脉冲中子源，对其入射核材料所产生的诱发裂变中子脉冲信号进行采集、处理和分析，得到自相关、互相关、自/互功率谱、功率谱密度比等一系列参数，从而反演核材料内部的反应性的情况，便可用于分析和识别核材料，其基本原理就是252Cf中子源驱动噪声分析测量法[(The result shows that the trained Elman neural network is able to identify the characteristics of correlation function, to distinguish different concentrations, and the average recognition rate reaches 90 , with high robustness.)

说明：  简单例子A simple exampleA simple example(A simple example)

detect point in infared image . target fly in sky image

image watermarkingusing matlab

利用matlab实现了fft和ifft算法，并给出了利用fft算法解决微分方程的问题的方法。(Fft using matlab achieved and ifft algorithms, and is given the use of fft algorithm to solve the differential equation problem.)