AMmatlab

LTI response for a sound file

说明：  雷达回波模块当中的干扰噪声以及杂波噪声的仿真程序(Radar module which noise and clutter noise interference emulator)

有限反馈的应用，这个可以应用在MIMO的系统中(Limited the application of feedback, this can be applied to MIMO systems)

蚁群算法的MATLAB程序，提供变量初始化 C=[1304 2312 3639 1315 4177 2244 3712 1399 3488 1535 3326 1556 3238 1229 4196 1004 4312 790 4386 570 3007 1970 2562 1756 2788 1491 2381 1676 1332 695 3715 1678 3918 2179 4061 2370 3780 2212 3676 2578 4029 2838 4263 2931 3429 1908 3507 2367 3394 2643 3439 3201 2935 3240 3140 3550 2545 2357 2778 2826 2370 2975] m=31 Alpha=1 Beta=5 Rho=0.9 Q=100 NC_max=200 (Ant colony algorithm of MATLAB procedures, initialize the variable C = [1304 2312 3639 1315 4177 2244 3712 1399 3488 1535 3326 1556 3238 1229 4196 1004 4312 790 4386 570 3007 1970 2562 1756 2788 1491 2381 1676 1332 695 3715 1678 3918 2179 4061 2370 3780 2212 3676 2578 4029 2838 4263 2931 3429 1908 3507 2367 3394 2643 3439 3201 2935 3240 3140 3550 2545 2357 2778 2826 2370 2975] m = 31 Alpha = 1 Beta = 5 Rho = 0.9 Q = 100 NC_max = 200 )

一、CORBA原理 二、Orbix 2000与ART 三、CORBA标准服务 四、成功案例 五、应用开发讨论(1, CORBA Principle 2, Orbix ART 2000 with three, four CORBA standard services, five successful cases, application development discussion)

simulare motor de curent continuu

数理方程的matlab解法,包含复变函数与特殊函数(Mathematical equations matlab solution, including complex functions and special functions)

推力轴承雷偌方程MATLAB编程求解油膜压力(MATLAB programming for solving oil film pressure of thrust bearing)

Particle filtering is an non-parameterized algorithm via sequential Monte Carlo simulation to actualize bayesian estimation. This paper expatiated the development and the research status of particle filtering at present.Then,introduces and analyses the principle of particle filtering、the existed key problems and countermeasures in detail.Furthermore,it sum up eleven improved methods of particle filtering algorithm.Meanwhile,applications are addressed in this paper.Finally ,the prospect of particle filtering is presented.

用MATLAB实现了最小二乘法，并有较为详尽的注释，望各位赐教(Implemented with MATLAB least squares method, and have more detailed comments, hope you can enlighten)