-
ain_odnof_nesim1
ain matlab model.in matlab with pwm
- 2010-11-12 01:48:59下载
- 积分:1
-
gridfit
fitting a graph between points
- 2012-04-07 21:19:16下载
- 积分:1
-
GA
说明: 一些非常有用的遗传算法函数,可以和大家一起分享学习一下。(Some very useful genetic algorithm function, you can learn about and share with everyone.)
- 2013-12-14 16:00:30下载
- 积分:1
-
tongxunluchengxu
这是我从一本书上看着例子编的源程序,很好的对学习很有帮助(This is what I look at an example of a book compiled on the source, very good very helpful for learning)
- 2010-03-10 17:52:45下载
- 积分:1
-
normal_beamforming
宽带时延波束形成仿真程序,通俗易懂,适于初学(broadband beamforming simulation procedures, user-friendly and suitable for beginners)
- 2021-01-20 20:58:46下载
- 积分:1
-
fhrmck
This function uses eigenfunction analysis to solve the matrix differential equation
m*y (t)+c*y (t)+k*y(t)=f1*cos(w*t)+f2*sin(w*t)
with initial conditions of y(0)=y0, y (0)=v0
- 2012-08-19 20:59:21下载
- 积分:1
-
DS18B20-1602
基于pic18f452的温度显示程序,DS18B20-lcd1602.(Based on the pic18f452 temperature display program, DS18B20-LCD1602.)
- 2013-05-18 22:44:57下载
- 积分:1
-
frequency-response
求梁的频响函数,梁的频响函数,梁的频响函数,梁的频响函数,( frequency response)
- 2016-03-02 15:09:17下载
- 积分:1
-
costas
costas 环路 simulink 仿真文件(costas loop simulation simulink file)
- 2007-09-14 11:53:13下载
- 积分:1
-
RELS
增广最小二乘的递推算法对应的噪声模型为滑动平均噪声,扩充了参数向量和数据向量H(k)的维数,把噪声模型的辨识同时考虑进去。最小二乘法只能获得过程模型的参数估计,而增广最小二乘法同时又能获得噪声模型的参数估计,若噪声模型为平均滑动模型,,则只能用RELS算法才能获得无偏估计。当数据长度较大时,辨识精度低于极大似然法。(Augmented least squares of recursion algorithm corresponding noise model for moving average noise, expanded parameter vector and data vector H (k) of the dimension, the noise model identification and at the same time into consideration. Least square method can only obtain process model parameter estimation, and augmented least squares method at the same time can obtain noise model parameter estimation, if noise model for the average sliding model,, it can only use RELS algorithm to obtain unbiased estimation. When the data length is bigger, the identification accuracy is lower than maximum likelihood method.)
- 2012-12-28 16:00:24下载
- 积分:1