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Mfile
PHS多天线基带调制与解调MATLAB程序(multiple antenna PHS baseband modulation and demodulation )
- 2009-02-15 15:02:27下载
- 积分:1
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examples
《结构分析的有限元法与MATLAB程序设计》所附程序(" Structural Analysis of the finite element method and MATLAB programming," the attached process)
- 2010-07-16 09:36:25下载
- 积分:1
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location
介绍无源定位的方法,对于无源定位和误差分析极有帮助。(Introduced the method of passive location, location and error analysis for the passive extremely helpful.)
- 2010-05-25 20:41:06下载
- 积分:1
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octave
倍频程和三分之一倍频程滤波器设计源代码 希望大家多多交流(Octave and third octave filter design source code hope that we can exchange)
- 2011-09-30 16:03:04下载
- 积分:1
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svm_v0.55beta
支持向量机,可以在MATLAB环境下运行.(Support Vector Machines can be run under MATLAB environment.)
- 2008-03-23 00:03:58下载
- 积分:1
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fdfacein
face detection and face recognition program and face tracking do and enjoy u r luck
- 2009-12-04 01:20:37下载
- 积分:1
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BP
说明: matlab编写的bp神经网络程序,适合初学者学习,内部注释清楚(matlab prepared bp neural network program, suitable for beginners to learn the internal comments clear)
- 2013-03-25 12:41:58下载
- 积分:1
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main
We formulate a scheduling problem that takes into account different hardware delays experienced by the secondary users
(SUs) in a centralized cognitive radio network (CRN) while switching to different frequency bands. We propose a polynomial-time
suboptimal algorithm to address our formulated scheduling problem. We evaluate the impact of varying switching delay, number of
frequencies, and number of SUs. Our simulation results indicate that our proposed algorithm is robust to changes in the hardware
spectrum switching delay and its performance is very close to its upper bound. We also compare our proposed method with the
corresponding constant switching delay-based algorithm and demonstrate that our suggestion of taking into account the different
hardware delays while switching to different frequency bands is essential for scheduling in CRNs.
- 2013-10-07 12:36:59下载
- 积分:1
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Ipopt-3
MATLAB程序。无线传感器节点的定位。(Location of a wireless sensor node)
- 2015-01-07 20:19:16下载
- 积分:1
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MultiUAV2
The MultiUAV2 simulation is a (Simulink/Matlab/C++)-based simulation that is capable of simulating multiple unmanned aerospace vehicles which cooperate to accomplish a predefined mission.
The simulation is organized using the Mathworks Simulink simulation software, but most of the functionality is in Matlab script functions.(MultiUAV2is a non-real-time simulation that contains
six-degree-of-freedom (6DOF) vehicle dynamics models, simple target models, and user-defined cooperative control algorithms.)
- 2021-02-18 21:59:44下载
- 积分:1