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sa_tsp1.m
说明: 模拟退火算法解决stp问题的例程,直接运行即可,可以通过改变参数得到不同的图。(simulated annealing algorithm to solve the problem stp routines, can be run directly. by changing the parameters can be different plans.)
- 2006-04-26 13:57:57下载
- 积分:1
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multiple-acess-tech-in-matlab-CDMA
multiple acess technewues coded in matlab
- 2013-03-06 17:21:41下载
- 积分:1
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nilesh-pra
HI MATLAB CODE FOR RECEIVER DECODE AND TRANSMITTER
- 2013-03-23 15:59:38下载
- 积分:1
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code-and-model
用于汽车系统动力学分析,包含了汽车振动分析等,有垂向、横向、纵向动力学3个方面(For automotive system dynamics analysis, including the automotive vibration analysis, there are vertical, horizontal, vertical dynamics of 3 aspects)
- 2020-07-04 05:20:02下载
- 积分:1
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Untitled3
语音信号的倒谱分析,语音采样频率44000hz,取20ms一帧语音,样点数880个,起始序号40000,加汉明窗,求倒谱图(Cepstrum analysis of the speech signal, voice sampling frequency 44000hz, take 20ms one voice, the number of samples 880, starting serial number 40000, Jia Hanming window, inverted spectrum)
- 2017-01-03 22:13:01下载
- 积分:1
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GA1
基本遗传算法的代码,基于精英保留策略的二进制遗传算法(Binary genetic algorithm based on elite retention strategy)
- 2020-06-28 20:40:02下载
- 积分:1
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efficient_fft_aa
两路实数FFT的matlab仿真。硬件实现:一个FFT核实现两路实数FFT。(FFT of two real numbers matlab simulation. Hardware: FFT core to achieve a two-way real FFT.)
- 2011-06-21 10:48:00下载
- 积分:1
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inventaris
Pembelajaran httaces untuk mengamankan website kita untuk menghindari gangguan dari serangan luar
- 2014-11-29 12:31:05下载
- 积分:1
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liu_ks02
最大似然(ML)准则和最大后验概率(MAP)准则,多机电力系统仿真及其潮流计算,采用的是脉冲对消法。( Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Multi-machine power system simulation and flow calculation, It uses a pulse of consumer law.)
- 2017-05-15 11:27:23下载
- 积分:1
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SignCorrectionInSVDandPCA
虽然奇异值分解(SVD)和特征值分解(EVD的)是行之有效的,可以通过先进的设施设备先进的算法,它不是通常所说,有一个内在的迹象,可以显着影响的不确定性的结论计算及诠释来自其结果。我们提供一个解决方案,标志模糊的问题确定了从奇异向量的内积和个人数据载体签署奇异向量的迹象。该数据可能有不同的载体,但它有它自身的定位和实际意义的选择方向,其中多数的向量点。这可以通过评估发现了内心的签署标志产品的总和。(Although the Singular Value Decomposition (SVD) and eigenvalue decomposition (EVD) are well-established and can be computed via state-of-the-art algorithms, it is not commonly mentioned that there is an intrinsic sign indeterminacy that can significantly impact the conclusions and interpretations drawn from their results. We provide a solution to the sign ambiguity problem by determining the sign of the singular vector from the sign of the inner product of the singular vector and the individual data vectors. The data vectors may have different orientation but it makes intuitive as well as practical sense to choose the direction in which the majority of the vectors point. This can be found by assessing the sign of the sum of the signed inner products. )
- 2010-07-01 09:49:23下载
- 积分:1