-
MatlabSingleProcessing
Matlab信号处理指导电子书,分数字信号处理工具箱、阵列信号处理工具箱和时频分析工具箱三大部分分别详解且均有实例,全书351page,很不错的matlab信号处理教程。(Matlab Single Processing)
- 2009-07-19 19:51:51下载
- 积分:1
-
LP02mode
绘制光纤中LP02模式的光场分布,可以利用三维图形表示(plot LP02 mode in fiber)
- 2012-09-29 10:08:43下载
- 积分:1
-
Ansoft
该资料用于电磁场分析软件ansoft的详细阐述,包含的非常全面。(The data for a detailed electromagnetic analysis software Ansoft, contains a very comprehensive.)
- 2015-03-13 06:55:49下载
- 积分:1
-
flD
MATLAB7辅助控制系统设计与仿真 附录D(MATLAB7 Auxiliary Control System Design and Simulation of Appendix D)
- 2007-10-25 18:36:20下载
- 积分:1
-
TrackPingPongMotion
说明: 基于MATLAB,实现乒乓球的定位运动跟踪(Based on matlab, tracking ping pong motion)
- 2020-10-06 00:07:38下载
- 积分:1
-
Yule-Walker
本程序采用宽带AR模型的Yule-Walker法的功率谱进行谱估计的(The program uses broadband AR model method Yule-Walker power spectrum estimation spectrum)
- 2011-05-24 00:28:25下载
- 积分:1
-
FEM-for-dynamic-response-analysis
用Newmark直接积分算法分析61杆桁架结构的动力学特性。(Conduct the dynamic response analysis for the 61 trusses structure by Newmark.)
- 2013-03-12 20:21:39下载
- 积分:1
-
ITD
在MATLAB中用ITD法进行模态分析的程序讲解(ITD modal analysis method using the procedure explained in MATLAB)
- 2021-02-04 14:19:58下载
- 积分:1
-
Levenberg_Marquat_Model
用于服役桥梁结构静力参数识别的算法
Levenberg-Marquardt (L-M法) matlab源程序(the methods used to identify the service bridge structure static parameters--- LevenbergOMarquardt algorithm)
- 2014-01-03 19:57:55下载
- 积分:1
-
RVM_matlabToolBox
相关向量机(RVM)的matlab源程序,包含快速算法,内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型,对未知函数进行预测或分类。 优点: (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)
- 2013-11-21 11:05:48下载
- 积分:1