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说明：  计算时间序列的李雅普诺夫指数的著名wolf算法，比较经典与精简，适合物理专业配合所求解得非线性方程使用(Calculation of time series of well-known Lyapunov exponent wolf algorithm, compared with the streamlining of the classic, suitable for solving physics with the use of a non-linear equation)

matlab与vc混和编成(Matlab and the mixture into vc)

HDB3码的MATLAB程序，经典，记得保留(HDB3 code MATLAB programs, classic, remember to retain)

这是一个用matlab编写LTE基带处理的程序，可以对基带处理进行很好的学习，也可以用来学习MATLAB。(This is a preparation of LTE baseband processor with a matlab program that can be good learning for the baseband processor can also be used to learn MATLAB.)

It s a word document,matlab code,basic algorithm of ant colony.(It's a word document, Matlab code, basic algorithm of ant colony.)

实现信道估计算法的matlab仿真,非常有用(Achieve channel estimation algorithm matlab simulation, very useful)

基于最小二乘辨识的模型参考自适应，含有详细word说明文件(Based on the model reference adaptive least squares identification, documentation contains detailed word)

分布式对MATLAB中图像处理的过程及相关函数进行详细讲解，帮助学生了解处理流程，熟练掌握函数使用。(Distributed process of MATLAB in image processing and related function in detail, help students to understand the process, familiar with function to use.)

说明：  利用matlab软件和fdtd方法来算三维结构的程序(Matlab software and the use of FDTD method to count the three-dimensional structure of the procedures)

TVL1重建从混合压缩采样，rice大学泊松分布图像重建与全变分正规化的代码(Note: (1)Fore small-scale data, hybrid sampling consists of Bernoulli random sampling and low-resolution sampling (TVL1_HCS) (1)Fore large-scale data, hybrid sampling consists of Fourier radial sampling and low-frequency sampling (TV_RecPF) Copyright (C) 2010 Xianbiao Shu, Computer Vision and Robotics Lab, University of Illinois at Urbana-Champaign. Acknowledgement: RecPF (Rice University) PDCO (Stanford University) Twister (MIT) Reference: X. Shu, N. Ahuja, Hybrid Compressive Sampling via a New Total Variation TVL1, In Proceedings of ECCV 2010. Usage: >> run_me_first >>[Im_rec, PSNR_est1,PSNR_est2] = TVL1L2_HCS_test( Ball1_32.bmp , 0.35,3) >>[Im_rec, PSNR_est1,PSNR_est2] = TVL1L2_HCS_test( Ball1_32.bmp , 0.35,3) >>[Im_rec, PSNR1, PSNR2, G_error, Ratio] = TV_RecPF_test( Chest.png , 5, 10, 0, 1e-10, 0) )