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这是一篇SCI文章《改善字典学习：多字典更新和系数重用》里的Matlab代码，包含了OMP、Batch-OMP、CoROMP等匹配跟踪算法代码以及改进的K-SVD字典学习算法代码，是图像稀疏表示研究方向重要的源代码，有助于大家学习和改进。(This file folder reproduces the Figures for paper:"Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse".It contains codes of the OMP, Batch code- OMP, CoROMP matching pursuit algorithm and improved K- SVD dictionary learning algorithm ,This is the important source code of image sparse representation ,which can help you learn and improve. )

长周期光纤光栅透射谱,用来描述长周期光纤光栅传输特性 (jilianjuyunLPG )

说明：  平台：matlab 基于bp反馈网络的算法设计的双层感知器。 (Platform: matlab-based algorithm design of feedback network bp double-layer perceptron.)

本次实验是要我们先产生心电信号，再加噪声再滤波。由一个心电信号数据表输出心电信号，由于已知的心电信号有噪声，所以我先将信号进行滤波，得到正确的心电信号。再加噪声，通过滤波可以得到高频和中频噪声，将原信号加上噪声显示再滤波。每次的时域信号都画出了他们相应的频谱，便于观察。每次的滤波我也尝试了不同的滤波器。(This experiment is to produce our first ECG, together with noise and then filtering. ECG data from a table output ECG, ECG as a known noise signal is filtered first, I get the correct ECG. Plus noise can be obtained by filtering high-frequency and intermediate frequency noise, the original signal plus noise shown again filtering. Time-domain signals each draw their corresponding spectrum, easy to observe. Every time I try to filter the different filters.)

Hat and Vee Maps. This is a map from a vector to a skew-Symmetric matrix and vice versa.

基于递推原理的RLS线性阵列算法，入门很好的学习资料！(RLS based on the principle of recursive linear array algorithms, data entry good learning!)

这是 一个界面 内完成 数字信号发生器、电子琴、电话机按键、信号合成的代码，基于MATLAB，相比 多界面 的有自己的特色，请参考！(This is a complete digital signal generator interface, keyboard, telephone keypad, the code signal synthesis, based on MATLAB, more than the interface has its own characteristics, please refer to!)

matlab的90个应用实例源代码，欢迎交流(The 90 matlab source code application examples are welcome to exchange)

说明：  这是一个地震波正演的程序，采用雷克子波，可以画出地震的变面积图(use ricker wavelet to do the forward of the seismic)

该程序是用matlab编写的一个adaboost算法，并给出了迭代次数、样本数量与错误率间的关系。(The program is written in a matlab adaboost algorithm, and gives the number of iterations, the sample size and the relationship between error rate.)