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2181916312320079115445374425
介绍了垂直同步的相关知识。
介绍了一种简单的计算帧速(FPS)的方法。
最后,我们列出了一份完整的天体动画程序清单。
(Introduce a vertical synchronization knowledge. Introduce a simple calculation帧速(FPS) method. Finally, we have listed a complete list of animation objects.)
- 2007-10-15 20:47:40下载
- 积分:1
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ecgsimple
关于心电图入门的基本知识,便于初学者学习和使用。(Getting Started on the basic knowledge of ECG, easy for beginners to learn and use.)
- 2008-03-16 22:25:14下载
- 积分:1
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fisher_v2_rice
FISHER CLASIFICATOR
Classifies samples into two categories using the Fisher discriminator
- 2011-01-15 06:10:52下载
- 积分:1
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jisuanqi
此源程序是用MATLAB生成一个计算器,简单易懂(This source code is generated using MATLAB a calculator, easy to understand)
- 2010-05-20 17:14:58下载
- 积分:1
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delete-vars-from-eval
Variable declarations in eval() must introduce delete-able vars.
- 2014-01-12 10:09:29下载
- 积分:1
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allan-variance
calculate the allan variance
- 2014-09-24 15:50:44下载
- 积分:1
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DDS4.mdl
DDS(快速正交调制)生成正弦波形,利用相位累加字进行累加,查找查找表内容输出正弦数据,在通信领域应用很多,我采用的是matlab的simulink进行前期仿真(DDS (fast quadrature modulation) to generate sine wave, the use of the word to accumulate phase accumulation, content output sine lookup table lookup data in many applications in the communications field, I used to pre simulink of matlab simulation)
- 2013-11-18 13:48:06下载
- 积分:1
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bootstrap
Mar 23, 2006 - MATLAB Central ... Code covered by the BSD License ... This is a implementation of Listless Speck Codec, the original paper is with this zip file .................
- 2015-02-19 16:50:14下载
- 积分:1
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zhuchengfenfenxi
主成分分析的matlab源代码,很有帮助,我已经用过好多次(principal component analysis)
- 2012-02-02 19:27:58下载
- 积分:1
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FR
说明: 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。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)
- 2017-05-05 10:26:25下载
- 积分:1