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lssvmprediction
最小二乘支持向量机做预测。程序可运行学习。在matlab上运行。(This is a program about prediction using LSSVM.It can run successfully for learning.This program can be used on matlab.)
- 2013-08-12 20:17:12下载
- 积分：1
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Model-extension-and-FFT
模型大小延伸程序；及实现快速傅里叶变换的小程序。该两程序通俗易懂，适合初学者(Model extension、 FFT)
- 2016-11-19 15:20:33下载
- 积分：1
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FIR
FFT和FIR 快速傅里叶变换和FIR滤波器实验程序(Fast Fourier Transform FFT and FIR and FIR filter experimental procedure)
- 2009-12-15 16:20:02下载
- 积分：1
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av_max
fluent udf 壁面热流通量随时间的变化。
调用fluent udf 里面的宏运算。(fluent udf wall heat flux changes with time. Call fluent udf inside the macro operator.)
- 2020-12-28 16:39:01下载
- 积分：1
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BladedDLLInterface
This source file contains example PitchCntrl(), UserHSSBr(),
! UserVSCont(), and UserYawCont() routines that are used to interface
! FAST with a master controller implemented as a dynamic-link-library
! (DLL) in the style of Garrad Hassan s Bladed wind turbine software
! package. All four routines call routine BladedDLLInterface(), which
! contains a call to the Bladed-style DLL that evaluates as DISCON().
! Routine BladedDLLInterface() USEs a MODULE named
! BladedDLLParameters(), which stores values of PARAMETER constants
! used in the interface.
- 2013-09-05 03:49:38下载
- 积分：1
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卡尔曼滤波算法
一维卡尔曼滤波算法，可以直接使用，通过系统噪声和测量噪声调整灵敏度。(One dimensional Calman filtering algorithm can be directly used to adjust the sensitivity through system noise and measurement noise.)
- 2018-03-31 23:30:01下载
- 积分：1
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ukfslam
使用Unscented Kalman Filter进行SLAM，主要用于机器人定位和地图自动绘制，UKF的效果要优于EKF，当然计算量也大些。(The Matlab code for SLAM using Unscented Kalman Filter, mainly used for robot localization and map building)
- 2009-02-13 00:13:37下载
- 积分：1
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JiSuanQi_2
自制的计算器，可实现加减运算，清除，后退等功能(Homemade calculator, can realize the addition and subtraction, clear, back, etc)
- 2016-04-06 15:44:31下载
- 积分：1
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FFT
基因的FFT变换，可以快速得出外显子的位置(Transform FFT of the gene can be quickly drawn to the location of exon)
- 2012-09-24 01:25:39下载
- 积分：1
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repeated-measures-ANOVA
用MATLAB实现单因素/两因素重复测量方差分析，自带工具包中只有非重复测量的方差分析函数ANOVA。anova_rm实现单因素；rm_anova2实现两因素( function stats = rm_anova2(Y,S,F1,F2,FACTNAMES) Two-factor, within-subject repeated measures ANOVA.For designs with two within-subject factors.
function [p, table] = anova_rm(X, displayopt)Single factor, repeated measures ANOVA.)
- 2021-01-26 17:58:37下载
- 积分：1
