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DSPmatlab
是一本结合matlab学习数字信号处理得好书(Is a combination of digital signal matlab learning to deal with the book)
- 2007-10-10 17:30:31下载
- 积分：1
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modelCenter
粒子群算法和基于ModelCenter求解背包问题的对比研究,包括了matlab版的粒子群算法，ModelCenter程序，以及自己的报告
(Particle swarm optimization algorithm and a comparative study based on ModelCenter knapsack problem, including the matlab version of the particle swarm algorithm, ModelCenter program, and its report)
- 2015-01-21 11:20:50下载
- 积分：1
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empirical-histogram_matlab-code
计算经验直方图的matlab程序
包括程序注释和样本测试结果(Computing experience histogram matlab procedures, including program notes and sample test results)
- 2013-12-11 10:14:25下载
- 积分：1
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REZA111
FOR HELP AND DOCUMENT FOR POWER
- 2015-03-06 20:26:36下载
- 积分：1
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face
人脸识别，简易的人脸识别程序，用matlab编写。(face detection)
- 2013-01-13 17:50:11下载
- 积分：1
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1
说明： 利用Ktrans、kep建立药代动力学模型来检测前列腺癌(Detection of Prostate Cancer by Ktrans and kep)
- 2011-09-13 22:29:40下载
- 积分：1
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matlab
MATLAB的基本知识，基本运算与函数整理(MATLAB basic knowledge, basic calculations and function finishing)
- 2013-10-09 14:54:56下载
- 积分：1
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blind-source-separation
说明： 盲源分离(BSS: Blind Source Separation)，又称为盲信号分离，是指在信号的理论模型和源信号无法精确获知的情况下，如何从混迭信号(观测信号)中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计，盲辨识的目的是求得传输通道的混合矩阵。(Blind source separation (BSS: Blind Source Separation), also known as blind signal separation, refers to how to separate each source signal from the aliased signal (observed signal) when the theoretical model of the signal and the source signal cannot be accurately known)
- 2019-12-16 22:14:52下载
- 积分：1
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elm_example
极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。(Extreme Learning Machine (extreme learning machine) ELM is an easy-to-use and effective single hidden layer feedforward neural network the SLFNs learning algorithm. 2006 by the Nanyang Technological University Associate Professor Huang Guangbin. Traditional neural network learning algorithm (BP) artificial network training parameters, and it is easy to generate a local optimal solution. Extreme Learning Machine network only need to set the number of hidden nodes, the algorithm implementation process does not need to adjust the network input weights and hidden element of bias, and only optimal solution, so the learning speed and generalization good performance advantages.)
- 2013-03-29 13:05:47下载
- 积分：1
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matrix-tezhengzhijisuan
说明： 通过求矩阵特征多项式的根来求其特征值
幂法求矩阵的主特征值及主特征向量
瑞利商加速幂法求对称矩阵的主特征值及主特征向量
收缩法求矩阵全部特征值
收缩法求矩阵全部特征值
位移逆幂法求矩阵离某个常数最近的特征值及其对应的特征向量
QR基本算法求矩阵全部特征值
(Characteristic polynomial by the root of a matrix to find the eigenvalues of a matrix power method and the main characteristics of the main features of the value of acceleration power vector Rayleigh quotient method Symmetric Matrix Eigenvalue and the main characteristics of the main vector of contraction method to shrink the value of all the characteristics of a matrix Law of the value of all the characteristics of a matrix inverse power law shift away from a constant of a matrix eigenvalue recently and its corresponding eigenvector matrix QR algorithm for getting all the characteristics of the basic values)
- 2011-04-11 16:39:15下载
- 积分：1
