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5746434354655456
一些常用的小程序，具有较高的可重用性。另外都可以运行。(Small number of commonly used procedures, have a high reusability. Also can be run.)
- 2009-05-04 09:37:24下载
- 积分：1
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inverse
乘法逆元的实现，就是对元素的逆元求解实现(Multiplicative inverse of the implementation of the elements of inverse solution to achieve)
- 2009-12-08 10:56:01下载
- 积分：1
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trainAdaline191
基于自适应线性网络的分类程序，matlab(newlin)
- 2010-12-13 12:22:11下载
- 积分：1
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DBA
移动无线通信小区功率控制中的DBA算法,用于下行功率控制(DBA algorithm used for power control for downlinks in cells for wireless mobile communication)
- 2009-12-25 15:45:27下载
- 积分：1
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lms_flp32
TigerSharc TS201 floating point lms filter routine(TigerSharc TS-201 floating point lms filte r routine)
- 2006-11-06 22:42:57下载
- 积分：1
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cs
说明： 该代码是关于CS的经典例子，里面包含了OMP等经典基础的重构算法，是初学者的必备资料(The code is about the CS classic example, which contains the OMP and other classic based reconstruction algorithms.These is essential information for beginners)
- 2014-09-09 15:48:29下载
- 积分：1
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LAP-TRINH-MATLAB-2008a
this source is very helpfull for technology student, who is the first in programming with matlab,
- 2013-10-05 15:07:04下载
- 积分：1
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longjie
利用常用的四阶龙格-库塔公式求初值再分别利用米尔恩公式和改进的亚当斯方法及常用的四阶龙格-库塔公式求解其余的数值解，并计算它们与精确解的误差(By use of Runge- Kutta formula and then find the initial value, respectively, and improved the formula by Milne Adams methods and commonly used Runge- Kutta formula to solve the rest of the numerical solution, and calculate their error with the exact solution)
- 2010-11-24 21:56:50下载
- 积分：1
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Particle-swarm-optimization
粒子群算法是一种新的模仿鸟类群体行为的智能优化算法，描述了基本粒子群算法和改进粒子群算法的原理。(Particle swarm optimization (pso) algorithm is a kind of new imitate birds swarm behavior of intelligent optimization algorithm, describes the basic principle of particle swarm optimization (pso) algorithm and improved particle swarm algorithm
.)
- 2013-12-08 14:41:49下载
- 积分：1
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UKF
很标准的无味卡尔曼滤波，UKF的仿真与用法。描述了两个非线性方程x=0.5 x + (25 * x / (1 + x^2)) + 8 * cos(1.2*(t-1)) y = (x^2 / 20)的UKF的用法。简单实用，有备注。对于卡尔曼滤波初学者很有用。(Very standard unscented Kalman filter, UKF simulation and usage. Describes two nonlinear equations x = 0.5 x+ (25* x/(1+ x ^ 2))+ 8* cos (1.2* (t-1)) y = (x ^ 2/20) of UKF usage. Simple and practical notes. For the Kalman filter useful for beginners.)
- 2021-04-27 10:48:44下载
- 积分：1
