huffman

进行层次分析的matlab程序源代码 能自动进行层次分析 很不错(The level of analysis matlab source code can automatically be very good analytic hierarchy)

newmark方法是实际应用程序，尤其适合初学者入门学习，易于消化。(Newmark method is a practical application, especially for beginners entry to learn, easy to digest.)

Matlab与VC接口编程的例子源代码 包括Matlab的MEX文件、Matlab引擎、Matcom编程、Matlab编辑器等内容(Matlab and VC interface programming source code examples include Matlab' s MEX files, Matlab engine, Matcom programming, Matlab Editor, etc)

通过位移,速度这六个量来求得飞行器轨道的六个基本要素(Through displacement, velocity, volume of these six aircraft to strike the six basic elements of the track)

关于近来很火的灰色预测理论的matlab的源代码，移植性好，与诸位学友共同分享，共同进步(About the grey prediction theory recently very fire matlab source code, good portability, xueyou with share, make progress together)

加热炉的PID算法控制温度，经常用于温度控制方面的算法，此项目为FPGA控制温控经常用的算法，决对可行。(PID algorithm to control the temperature of the furnace, is often used for temperature control algorithms, this project FPGA control thermostat frequently used algorithms, never to be feasible.)

implement of IFSAR using matlab (implement of IFSAR using matlab)

Fadind Channel Simulation

运用惯性传感器检测人体肢体动作理论分析，包括LKF,EKF，quternion多种算法(INERTIAL AND MAGNETIC ANGLE TRACKING OF LIMB SEGMENTS FOR INSERTING HUMANS INTO SYNTHETIC ENVIRONMENTS)

一种改进的萤火虫算法解决动态0-1背包问题。经过测试，算法就有良好的性能。(Firefly Algorithm (FA), Genetic Algorithm (GA) and Differential Evolution (DE) have been widely used for static optimization problems, but the applications of those algorithms in dynamic environments are relatively lacking. In the present study, an effective FA introducing diversity with partial random restarts and with an adaptive move procedure is developed and proposed for solving dynamic multidimensional knapsack problems. To the best of our knowledge this paper constitutes the first study on the performance of FA on a dynamic combinatorial problem. In order to uate the performance of the proposed algorithm the same problem is also modeled and solved by GA, DE and original FA. Based on the computational results and convergence capabilities we concluded that improved FA is a very powerful algorithm for solving the multidimensional knapsack problems for both static and dynamic environments.)