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FAQ_about_PSO_odp
开放办公室介绍(ICSI 2011研讨会,Cergy)(Open Office presentation (ICSI 2011 seminar in Cergy)
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- 2011-11-24 16:43:19下载
- 积分：1
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matlab
MATLAB有关通信方面的仿真，十分的基础但很有用(MATLAB simulation of the communications, but a very useful basis)
- 2010-07-29 09:24:09下载
- 积分：1
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matlab
用四元十字阵做被动声定位算法设计，现在是用matlab神经网络工具箱构建RBF神经网络然后仿真显示图形(With a four-element Array do passive acoustic localization algorithm design, now using matlab neural network toolbox and then build on RBF neural network simulation display graphics)
- 2021-04-19 01:48:57下载
- 积分：1
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IIR-programm
这是一个MATLAB的IIR滤波器的程序!(This is a program of IIR fliter!)
- 2009-06-07 22:32:57下载
- 积分：1
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Assembly-Language-for-x86-Processors-(6th-Edition
Assembly Language for x86 Processors by Kip Irvine
- 2013-02-24 04:29:11下载
- 积分：1
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MATHEMATICA
这是一本介绍mathematica 使用方法的书籍，mathematica 是一款强大的数学计算软件。(A book about mathematica,Mathematica is mainly used in math.)
- 2012-09-03 12:18:48下载
- 积分：1
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mnxzd
拟陀螺运动程序,该程序用MATLAB编写,如有不足之处,希望指出.(to Gyro campaign procedures, the procedures for using MATLAB, if inadequate, and it is hoped that.)
- 2006-10-22 19:08:43下载
- 积分：1
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BSS_-Part_1_3
盲信号分离的三篇经典文章。Part One，首次提出了一种基于神经网络的学习算法（H-J算法），成功地实现了两个语音信号的分离，从而开启了一个新的领域。虽然他们的学习算法是启发式的并且没有明确指出需利用观测信号的高阶（高于二阶）统计信息，但是其迭代计算公式已具备后来ICA在线算法的雏形。
Part Two和Part Three：分别是从两个不同的角度来证明HJ算法的稳定性（主要是对源信号个数为2的情况给的证明），可惜的是，给出的稳定性条件都不是充要条件。(The three classic papers of blind signal separation(BSS).)
- 2012-04-18 22:44:46下载
- 积分：1
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2dgaussian
汽车高斯曲面拟合
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2程序，以适应到表面二维高斯：
子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的
这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。
autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。
autoGaussianSurfGS（十一，彝，紫）的估计，通过指定数据的贝叶斯生成模型，然后采取通过从模型吉布斯抽样样本后ofthis模型参数。这种(Auto Gaussian Surface fit
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2 routines to fit a 2D Gaussian to a surface:
zi = a*exp(-((xi-x0).^2/2/sigmax^2+ (yi-y0).^2/2/sigmay^2))+ b
The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters.
autoGaussianSurfML(xi,yi,zi) fits the model parameters through maximum likelihood(least-squares). It first evaluates the quality of the model at many possible values of the parameters then chooses the best set and refines it with lsqcurvefit.
autoGaussianSurfGS(xi,yi,zi) estimates the model parameters by specifying a Bayesian generative model for the data, then taking samples from the posterior ofthis model through Gibbs sampling. This method is insensitive to local minimain posterior and gives meaningful error bars (Bayesian confidence intervals))
- 2011-05-23 10:36:52下载
- 积分：1
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potential2D
本程序为边界元的原程序，可用来求解2D位势问题，附数据文件(the procedures for the original boundary element procedures can be used to solve 2D Potential problems with data files)
- 2007-06-12 18:35:21下载
- 积分：1
