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main
关于极限学习机在脑电信号中的应用的主程序表示说明(About extreme learning machine in the application of brain electrical signal of the main program said
)
- 2014-06-30 11:36:07下载
- 积分:1
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PE_Caculation
matlab计算排列熵的程序,可以定量分析混沌或噪声序列的复杂度(a program that is capable of computing the permatation entropy of a time series noise or chaos waveform.)
- 2017-05-03 07:22:56下载
- 积分:1
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MoreEffectiveC++
本书荣获2005年第十五届Jolt通用类图书震撼大奖。 继 Effective C++ 之后,Scott Meyers 于 1996 推出这本「续集」。本书与现今之 C++ 标准规格几乎相同。可能变化的几个弹性之处,Meyers 也都有所说明与提示。(the book won the 2005 session of the 15th General Books Jolt Awards shock. Following the Effective C, Scott Meyers in 1996 to launch the "sequel." The book's C with the current standard is almost the same. Several possible changes in flexibility, Meyers also has suggested and described.)
- 2006-11-05 12:49:35下载
- 积分:1
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AC3toMP3-GUI
AC3toMP3 GUI. GUI application for AC3ToMP3.
- 2014-02-19 03:09:50下载
- 积分:1
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PID0001
PID比例积分微分控制程序包
神经网络自适应控制程序
- 2010-12-18 17:12:44下载
- 积分:1
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MxianxintiaopA
基于MATLAB的线性调频信号产生和频谱分析,某雷达参数数下的模糊函数及自相关函数仿真分析。,已通过测试。
(MATLAB linear FM signal generator and spectrum analysis, the number of parameters of a radar ambiguity function and autocorrelation function of simulation analysis. , Has been tested.)
- 2012-07-20 08:59:19下载
- 积分:1
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longbeige
龙贝格算法。。。。。。。。。。。 (Romberg algorithm. . . . . . . . . . .)
- 2011-05-14 18:47:16下载
- 积分:1
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libsvm-mat-2.91-1
说明: 支持向量机的C++源代码包,用机器学习的方法处理优化问题,可以作为matlab的工具箱。(C++ code for proceeding SVM problems!)
- 2011-04-07 11:54:48下载
- 积分:1
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91332001RayTrace1.1
说明: 蒙特卡罗方法可以有效地解决复杂的工程问题,而MATLAB具有强大的数值计算功能。将二者结合使用,可以得到高效的解决问题的方法。本文阐述了该方法并通过实例验证了该方法的正确性和优越性。
(Monte Carlo method can effectively solve complex engineering problems, and MATLAB has powerful function of numerical calculation. The two in combination, can be cost-effective solution to the problem. This paper describes the methods and examples of the method to verify the correctness and superiority.)
- 2008-12-04 20:48:05下载
- 积分:1
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example4_6
:滤波
fs=400 采样频率,必须大于两倍基带信号最高频率
ts=1/fs 采样时间间隔
T=5 时间窗大小
t=0:ts:T (hf1=zeros(1,N)
hf1(f<=B1&f>=-B1)=1
y1=hf1.*fftshift(y)
figure
subplot(211)
plot(f,abs(fftshift(y))/N,f,hf1, r-- )
axis([-fs/2,fs/2,0,1.2])
title( 原信号频谱 )
xlabel( f /Hz )
subplot(212)
plot(f,abs(y1)/N)
title( 低通滤波,截止频率90Hz )
xlabel( f /Hz ))
- 2010-05-25 20:58:05下载
- 积分:1