matl25

两个简单程序，一个是在空域和频域分别实现了两个矩阵的卷积。另一个程序主要是为了查看几个模板的空域及频域响应形式，方便理解(Two simple procedures, one is in the spatial and frequency domain is realized for the convolution of two matrices. Another program is mainly to see the airspace of several templates and frequency domain response form, to facilitate understanding)

聚类算法k-medoids 该代码针对的是图像处理 该算法采用局部航迹与系统航迹进行关联的策略(K-medoids clustering algorithm is the code for the image processing algorithm strategy using a local track trajectories associated with the system)

MATLAB实现的伽罗华域乘法，在AES的安全算法中应用到(MATLAB implementation Galois field multiplication, in the AES security algorithm applied to the)

牛顿环动画演示Matlab源代码牛顿环动画演示Matlab源代码(Newton Central Matlab source code Animation Central Animation Newton Matlab source code)

基于Matlab软件中的优化算法和优化工具，针对风力机翼型通用型线集成表达式建立了优化数学模型。以风力机翼型的最大升阻比为优化设计目标函数，翼型形状控制方程的系数为设计变量，翼型的厚度和弯度为约束条件，设 计得到了相对厚度为18％的风力机翼型，并对其性能进行了计算分析。研究结果拓宽了风力机叶片翼型的设计思路和设计方法。(Based the Matlab software optimization algorithm and optimization tools for the integrated expression of the general profile of the wind turbine airfoil optimization model. Wind turbine airfoil maximum lift-drag ratio for the optimal design objective function coefficients of the equation of the airfoil shape control as design variables, airfoil thickness and curvature constraints, the design has been the relative thickness of 18 of wind turbine airfoil , and its performance is calculated and analyzed. The findings broaden the wind turbine blade airfoil design ideas and design methods.)

this is implementation huffman algorithm,you must try code. i think you must try.

Tikhonov.m 纪洪诺夫正则化方法。。。。。(Tikhonov.m Regularization..............)

设计实现了DSSS通信中RAKE接收的功能，包括m序列生成的m文件和一个数据源扩展程序，可以仿真RAKE接收的误码率，便于分析性能！(Design and Implementation of a DSSS communication RAKE receiver functions, including the m sequence generated m file and a data source extension, you can simulation RAKE receiver BER to facilitate analysis of the performance!)

this is some basic matlab programs.

A feature selection based framework for human activity recognition using wearable multimodal sensors