-
modifiedmusic
前后向空间平滑ＭＵＳＩＣ算法程序，阵元天线数可变，绝对可用．(Before and after spatial smoothing MUSIC algorithm procedures, variable number of antenna array element is absolutely available.)
- 2007-09-27 15:12:23下载
- 积分：1
-
PSO-GM
微粒群算法结合灰色系统理论进行预测的matlab代码，精确度较高(Particle Swarm Optimization of gray system theory to predict the matlab code, high precision)
- 2020-11-07 15:09:49下载
- 积分：1
-
PSO-TOOLBOX
说明： 粒子群算法，很有用的一个设计程序，如果需要优化，可以使用(Particle Swarm Optimization
)
- 2011-03-08 22:01:10下载
- 积分：1
-
6
说明： 梯形法求数值积分和simpson法求数值积分以及gauss-lengendre法求数值积分(Trapezoidal method seeking numerical integration and simpson Method the numerical integration the gauss-lengendre Method numerical integration)
- 2012-12-28 19:28:21下载
- 积分：1
-
q_tanks_1_simulink
藕联水罐的pi前馈控制 matlab源程序 simulink(coupled tanks pi control matlab simulink)
- 2012-03-23 20:51:54下载
- 积分：1
-
topsis3-1
this program is implementation of TOPSIS algorithm
- 2013-09-23 11:17:25下载
- 积分：1
-
Accurate-Simulink
在simulink里如何精确建模－好文推荐
Building Accurate, Realistic Simulink Models By Seth Popinchalk An accurate system model is one that performs as expected and produces the desired results. To achieve this level of accuracy you must have a clear modeling goal. For example, will the model be used strictly for simulation, or for generating embedded C code?? This article describes five modeling techniques that can help ensure accuracy: Select the right modeling approach Know your system, understand its dynamics Monitor fo
(How accurate modeling in simulink- good text recommended)
- 2012-09-28 02:27:16下载
- 积分：1
-
deri
Calculo de la derivada e integral
- 2009-12-09 05:59:01下载
- 积分：1
-
moving_target_influence
仿真了点目标运动对传统距离-多谱勒成像结果的影响！(The point target simulation exercise on the traditional range- Doppler imaging )
- 2010-05-16 08:43:16下载
- 积分：1
-
Multi-User-Diversity-vs
In a multiple transmit antenna, single antenna per receiver downlink channel with limited channel state feedback, we consider the following question: given a constraint on the total system-wide feedback load, is it referable to get low-rate/coarse channel feedback from a large number of receivers or high-rate/high-quality feedback from a smaller number of receivers? Acquiring feedback from many receivers allows multi-user diversity to be exploited, while high-rate feedback allows
for very precise selection of beamforming directions. We show that there is a strong preference for obtaining high-quality feedback, and that obtaining near-perfect channel information from as many receivers as possible provides a significantly larger sum rate than collecting a few feedback bits from a large number of users.
- 2013-11-08 12:10:41下载
- 积分：1
