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Find-Fourier-Series-Approximation
求解锯齿信号的Fourier级数
利用了Fourier变换(Find Fourier Series Approximation
The FFT is used. Choose sufficient harmonics to minimize aliasing)
- 2010-08-01 23:49:09下载
- 积分：1
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roadrecognize
基于matlab上路标识别，识别效果明显！(Matlab-based road marking other, identify obvious effect!)
- 2010-09-18 15:55:54下载
- 积分：1
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ReinforcementLearning
强化学习算法的MATLAB仿真实例，希望能够对大家有帮助.(Q-learning algorithm of MATLAB simulation examples，wish it can help you.)
- 2010-11-20 09:39:22下载
- 积分：1
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ksvd
基于混合基稀疏图像表示的压缩传感图像重构 (Compressed sensing sparse image)
- 2015-01-13 22:03:20下载
- 积分：1
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qhanoi
q learning 写的hanoi塔,增强学习使用。汉诺塔(q learning to write hanoi tower)
- 2013-12-12 16:30:59下载
- 积分：1
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fm
说明： 计算附加条件的二阶二元偏微分方程组的程序，使用四阶龙格库塔方法。工程上有重大应用。(Calculate conditional second-order partial differential equations of two yuan, the use of fourth-order Runge-Kutta methods. Significant engineering applications.)
- 2015-07-17 21:27:51下载
- 积分：1
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GAbp
好东西大家分享，希望可以给大家帮助，谢谢！(Good things to share, hope can give you help, thank you!)
- 2010-08-09 09:35:08下载
- 积分：1
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burgf
信号为两个正弦信号加高斯白噪声，用burg递推法对其进行功率谱估计，效果不错。(Signal for two sinusoidal signal plus Gaussian white noise, the recursive method burg its power spectrum estimation, good results.)
- 2009-06-14 15:44:26下载
- 积分：1
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shuzhifenxi
数值分析实验报告!包含多个实验！
实验一 非线性方程求根
实验二 线性代数方程组的解法
--------列主元Gauss消元法
实验三 线性代数方程组的解法
——Gauss-Seidel迭代法等(Numerical Analysis of the experimental report! Contains more than one experiment! Experiment 1 Experiment 2 roots of nonlinear equations of linear algebraic equations the solution out PCA Gauss elimination method experiment trilinear solution of algebraic equations- Gauss-Seidel iteration method, such as)
- 2008-06-29 02:38:17下载
- 积分：1
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randgen2
randgen(mu,mu1,mu2,cov1,cov2,cov3) = Random generation of Gaussian Samples
in d-dimensions where d = 2
mu, mu1, mu2 = (x,y) coordinates(means) that the gaussian samples are centered around
cov1, cov2, cov3 are the covariance matrices and will vary changing the
shape of the distribution, example: cov = sigma^2*Identity Matrix, where sigma^2 = a scalar
N = the number of gaussian samples used are provided as user input,
A test set of N/2 and a training set of N/2 gaussian samples is also generated
Output is directed to the command window and a plot of the distributions are generated
- 2011-02-09 18:52:20下载
- 积分：1
