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matlab-chapter3
谢汉龙matlab书籍第三章基本入门功能的实现过程,常用matlab的基础程序(Implementation Xiehan Long matlab books Chapter 3 Basic entry function on the basis of common procedures matlab)
- 2015-01-05 13:51:14下载
- 积分:1
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SIMULINK
用matlab对F16进行动态仿真,学习matlab的可以看一下。(Matlab on the F16 with the dynamic simulation, learning matlab that can look at.)
- 2010-06-21 17:20:55下载
- 积分:1
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continousuniformr
continous uniform random variable
- 2009-11-07 00:54:33下载
- 积分:1
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trigle
简易的三角波发生器代码,可以产生正确的三角波,MATLAB新建M-FILE,然后RUN即可(Simple triangular wave generator code, you can generate the correct triangle wave, MATLAB new M-FILE, then RUN to)
- 2011-05-04 14:59:42下载
- 积分:1
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DigitalFilter
此源码中包含了ButterWorth高通、低通,带通MATLAB仿真,Chebyshev高通、低通,带通MATLAB仿真,还有Notch,Peak MATLAB 仿真(This source includes ButterWorth high-pass, low pass, band pass MATLAB simulation, Chebyshev high-pass, low pass, band pass MATLAB simulation, as well as Notch, Peak MATLAB simulation)
- 2010-06-17 11:09:54下载
- 积分:1
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DTMF
DTMF 系统的matlab实现,发送电话11位电话号码在接收端识别。(DTMF system matlab realize, send telephone 11 telephone numbers identified on the receiving end)
- 2013-11-19 19:08:41下载
- 积分:1
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shuxilvboqi
全相位DFT数字滤波器MATLAB设计,欢迎下载(All phase DFT filter MATLAB design, welcome to download)
- 2009-05-16 13:21:27下载
- 积分:1
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Euler-ODE-Solver
A forward Euler method has been implemented and a simple differential equation solved to compare the performance of the Euler method with Runge-Kutta method.
- 2011-06-28 05:51:32下载
- 积分:1
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pre-distoration
数字预失真--用于产生WCDMA 仿真信号源等程序(DPD--make_pulse_with_ballast.m and so on)
- 2009-03-14 19:55:17下载
- 积分:1
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BP.m
在工程应用中 经常会遇到一些复杂的非线性系统, 这些系统状态方程复杂, 难以 用数学方
法准确建模。 在这种情况下, 可以 建立 BP 神 经网 络表达这些 非 线 性系 统。 该方法把未 知 系
统看成是一个黑箱, 首先用 系 统 输入输出 数据 训 练 BP 神 经网 络, 使网 络能 够表达该未 知 函
数, 然后就可以 用训练好的 BP 神经网络预测系统输出 。
本章拟合的非线性函 数为
y = x1^2+x2^2.
。
(In engineering applications often encounter some complex nonlinear systems, which complicated the equation of state, can not be accurately modeled mathematically. In this case, BP neural network can be established to express these nonlinear systems. The method of the unknown system as a black box, the first input and output data with systematic training BP neural network, the network can express the unknown function, then you can use the trained BP neural network forecasting system output. Chapter for fitting non-linear function y = x1 ^ 2+x2 ^ 2..)
- 2014-12-13 21:39:55下载
- 积分:1