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bupingdu
求解一幅图像内连接任意两点的变化最平缓曲线上最大值与最小值的差值(Solution to connect any two points within an image change in the most gentle curve of the difference between maximum and minimum)
- 2010-07-25 21:34:59下载
- 积分：1
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getConductingCylinderScatteringWidth
to obtain the scattering width of the TM wave
- 2012-04-07 10:44:47下载
- 积分：1
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_DSP5
说明： DSP实验的matlab实现，如 离散时间系统，傅里叶变换，快速傅里叶变换等(dsp FFT)
- 2011-03-07 21:11:19下载
- 积分：1
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OSU_SVM3.00
说明： matlab支持向量机用于多类模式的分类，较全面，可以迅速解决问题，值得下载！(matlab support vector machine model for multi-category classification, a more comprehensive, you can quickly solve the problem, it is worth to download!)
- 2009-08-12 14:40:36下载
- 积分：1
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bianshi
基本最小二乘估计递推算法matlab实现及绘图，以及生成M序列(Basic recursive least squares estimation algorithm and M series)
- 2013-07-11 19:37:36下载
- 积分：1
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ncm.v1.1
k近邻算法源代码，用matlab语言编写的，适用于分类及相关问题的分析(K neighbor algorithm source code, written with matlab language, suitable for classification and analysis of the related problem)
- 2014-10-23 19:35:17下载
- 积分：1
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m_map
根据纬度经度信息 准确画出学术论文需要的地理图 包括海洋 山脉等(According to latitude and longitude information accurately draw the necessary papers including marine mountains and other geographic map)
- 2013-10-10 16:27:37下载
- 积分：1
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232322
基于matlab的通信系统仿真（调制到中频，基带成形）(Matlab-based communications system simulation (modulated IF, baseband shaping))
- 2013-12-19 10:37:50下载
- 积分：1
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FMscanner
simulink model to demodulate fm signal
- 2009-09-21 20:55:55下载
- 积分：1
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gongetidufadshuzhixingzhi
共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)
- 2012-03-26 18:48:46下载
- 积分：1
