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mexshape
This mex-file reads SHPT_POINT, SHPT_MULTIPOINT, SHPT_ARC, and SHPT_POLYGON shapefiles into structures.
Other requirements: Requires shapelib (http://shapelib.maptools.org).
(This mex-file reads SHPT_POINT, SHPT_MULTIPOINT, SHPT_ARC, and SHPT_POLYGON shapefiles into structures.
Other requirements: Requires shapelib (http://shapelib.maptools.org).)
- 2010-11-21 12:36:02下载
- 积分:1
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localization
说明: 实现无线传感器网络或者蜂窝网中的三种节点定位算法:CLS、质心算法、DV-Hop算法(Wireless sensor networks or cellular networks of the three localization algorithms: CLS, centroid algorithm, DV-Hop Algorithm)
- 2011-02-22 15:27:37下载
- 积分:1
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Software-Defect-Association-Mining
SOFTWARE DEFECT ASSOCIATION MINING
- 2014-01-08 18:59:20下载
- 积分:1
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matlab
说明: matlab gui例子 对初学者会有较大帮助(matlab gui)
- 2010-04-12 01:57:27下载
- 积分:1
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MATLAB-basic-intensive-training
运用MATLAB编程并结合simulink解决简单的电路问题。
自选题目:图1所示为典型的直流电阻电路[3], 含有电压控制的受控电流源VCCS,其中,R1=1Ω,R2= 2Ω, R3=3Ω,US=10V, IS=15A, VCCS= ,现需分析计算电流i1和电压u2
(Combined with the use of MATLAB simulink program to solve simple circuit problems. Optional Title: Figure 1 shows a typical DC resistance of the circuit [3], with voltage-controlled current source controlled VCCS, which, R1 = 1Ω, R2 = 2Ω, R3 = 3Ω, US = 10V, IS = 15A, VCCS =, now need to be analyzed to compute the current and voltage u2 i1)
- 2010-06-30 13:08:36下载
- 积分:1
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SpaceTruss
说明: 空间杆有限元分析,包中有详细的WORD文档说明(Space bar finite element analysis, a detailed package documentation WORD)
- 2011-03-18 09:45:09下载
- 积分:1
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DeMat
差分进行算法程序,一共是6个,包括编码,交叉,变异等程序(Difference to algorithm program, a total of six, including coding, crossover and mutation procedures)
- 2011-04-25 15:55:57下载
- 积分:1
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closed-loop-feedback
Series and Prallel Feedbaack
- 2013-07-23 01:03:34下载
- 积分:1
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OFDM_MATLAB
MATLAB上实现的OFDM+AWGN/Rayleigh+BPSK/QPSK/16QAM/64QAM,并分析EbN0 vs BER.(The MATLAB implementation OFDM+AWGN/Rayleigh+BPSK/QPSK/16QAM/64QAM, and analyze EbN0 vs BER.)
- 2014-09-22 06:27:48下载
- 积分:1
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CMA-ES
The optimization behavior of the self-adaptation
(SA) evolution strategy (ES) with intermediate multirecombination
(the (=I )-SA-ES) using isotropic mutations
is investigated on the general elliptic objective function. An
asymptotically exact quadratic progress rate formula is derived.
This is used to model the dynamical ES system by a set of
difference equations. The solutions of this system are used to
analytically calculate the optimal learning parameter . The
theoretical results are compared and validated by comparison
with real (=I )-SA-ES runs on typical elliptic test model
cases. The theoretical results clearly indicate that using a
model-independent learning parameter leads to suboptimal
performance of the (=I )-SA-ES on objective functions
with changing local condition numbers as often encountered in
practical problems with complex fitness landscapes.
- 2013-09-12 20:32:09下载
- 积分:1