Lax

本程序采用MATLAB编写，内容关系数字图形分析与处理，内有例子说明使用(This program written by MATLAB, the contents of relations figures graphical analysis and processing, there are examples of the use)

蚁群算法求解标准旅行商问题的matlab程序。(Matlab program of ant colony algorithm for the standard traveling salesman problem(TSP). )

the ESPRIT DOA estimation program

pulse code modulation using u-Law

LTE中QPSK,16QAM,64QAM的软解调程序。可供相关学习者学习。是对调制解调学习的重要资料。(LTE, QPSK, 16QAM, 64QAM soft demodulation process. Related for learners. Is important information for modem learning.)

MATLAB中利用龙哥库塔方法解微分方程（以铁磁学中LandauLifshitz方程为例）(Long Ge Kuta method using MATLAB, solving differential equations (in the ferromagnetic case study in the LandauLifshitz equation))

高信噪比实测数据线谱提取，使线谱提取的一种典型方法(high signal-to-noise ratio measured spectral line data extraction, spectral lines from a typical method)

三相电源的整流逆变，在某一时间点并网投入运行的一份仿真。(A simulation of three - phase power supply connected to the grid at a certain time.)

说明：  是ofdm关于matlab仿真方面的文章，里面写的特别的好，已经运行处结果。对仿真很有帮助(Ofdm matlab simulation area is on the article, written by particularly good which has been running at the results. Useful for simulation)

本matlab函数，利用混沌映射不可预测性，遍历性和敏感性，以它们的参数和初始值的优异特性的，实现一个图像加密算法。我们引入了一个新的二维logistics函数。与现有的混沌映射相比，它具有更广泛的范围内混乱，更好的遍历性，混沌性和relativelylow实施成本。为了研究及其应用，我们提出了一个之乱转换（CMT），以有效地改变图像的像素位置。结合2D-logistics与CMT，我们进一步实现图像加密算法。(In this matlab test,we use the chastic s excellent properties of unpredictability, ergodicity and sensitivity to their parameters and initial values, chaotic maps are widely used in security applications. In this paper, we introduce a new two-dimensional Sine Logistic modulation map (2D-SLMM) which is derived the Logistic and Sine maps. Compared with existing chaotic maps,it has the wider chaotic range, better ergodicity, hyperchaotic property and relativelylow implementation cost. To investigate its applications, we propose a chaotic magic trans-form (CMT) to efficiently change the image pixel positions. Combining 2D-SLMM with CMT, we further introduce a new image encryption algorithm. )