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说明：  matlab人员疏散模型，有GUI界面，适合有选做人员疏散和元胞自动机应用的小伙伴使用(Matlab personnel evacuation model, with GUI interface)

用matlab的编程实现一首歌曲的播放。歌曲是用代码编辑的，运行后就能实现播放。(Realization of a song to play using matlab programming. The song is in code editor, can be achieved after playing running.)

matlab 300例（包括源代码） 是通信、图像分析人士必备软件包(matlab 300 cases (including source code) is a communications, image analysis are an essential package)

小波变化软件包，里面包含有比较全面的小波变换matlab函数，以及相应的一些实例，可以看看(wavelet transform)

基于角谱法的压缩全息仿真程序，内含有仿真调用的子程序：前向模型，反向模型，迭代优化等(compressive holography based on the angular spectrum method，including：forward propagating，backpropagating，Twist and so on)

初学者使用，能比较方便地查找matlab的常用函数。(Beginners to use, can be more convenient to find a common function of matlab.)

利用Matlab仿真的泊松过程，包含齐次过程和非齐次过程，平稳过程等。(Matlab simulation of the Poisson process, including the process of homogeneous and inhomogeneous process, stationary process.)

this is an e-book for signal processing based on matlab

lte中下行信号经过加扰、调制、层映射、预编码以及资源映射中的关于调制的QPSK的MATLAB代码(lte in the downlink signal through the scrambling, modulation, layer mapping, coding and mapping resources on the MATLAB code for QPSK modulation)

这是TD算法的逆过程，首先将时间序列，划分为相邻点的短序列，当然此时的拟合误差为0，因为第一点和第二点的连线，原始点都落在线段上。将相邻两个线段连接起来，此时每条线段包含三个原始点，计算中间那个点的拟合误差。这样，所有这些三个点的线段中的中间点的拟合误差计算出来后，找出误差最小且误差小于阀值R的分段，作为第一条包含三个点的线段。 在上面的基础上，第一条分段同样的和相邻线段连接，然后计算每一条分段的拟合误差，再找出误差最小且小于阀值R的分段，作为第二个分段。依次方式循环，直到所有分段的拟合误差都小于阀值R，分段结束。 (This is the reverse process of TD algorithm, the first time series is divided into short sequences adjacent dots, of course fitting error is zero at this time, because the first and second points of connection, the original point fall line on. The two adjacent segments are connected, then each segment contains three original point, the intermediate fitting error calculated that point. Thus, after all these segments fitting error of three points in the intermediate point calculated to find the minimum error and the error is less than the threshold R segment, as the first line contains three points. Based on the above, the first segment and the adjacent line segment connecting the same, and then calculate a fitting error for each segment, and then find the smallest error and less than the threshold R segment, as the second segment . Followed by a cyclic manner until all segments fitting error is less than the threshold R, segment ends.)