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fft
用MATLAT编的FFT程序,在MATLAB环境下可以显示波形。()
- 2008-06-06 10:12:10下载
- 积分:1
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yy
说明: 用matlab提取语音信号,并进行处理,提取语音信号的特征参数(programed by matlab ,a very good thing)
- 2013-01-09 17:54:04下载
- 积分:1
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JQLA
The statements below guide us to write the code for the transmission of sensed data to a sink node using cognitive radios in multiple spectrum bands. In doing this we are trying to find the most appropriate modulation scheme using MATLAB simulation.
- 2013-11-21 03:57:42下载
- 积分:1
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orbits
orbits - plot orbits around Earth in an interactive manner
- 2014-01-19 23:32:40下载
- 积分:1
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fft_pro_ifft
fft与ifft系列程序,用于图像的滤波算法,信息提取。使用matlab环境,易用性强。
(fft and ifft program, matlab environment, easy to use.)
- 2014-01-18 22:27:59下载
- 积分:1
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fdtd1
用FDTD法模拟无源区域二维TE波的传播,并加有一阶Mur吸收边界条件(FDTD method using two-dimensional simulation of passive TE wave propagation in the region, and add a first-order Mur absorbing boundary conditions)
- 2009-09-19 10:17:11下载
- 积分:1
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RBF-BP(m-file)
径向基神经网络训练matlab程序,并画出预测数据和原数据的对比图。(RBF-BP neural network algorithm Matlab code, the procedures under the trained network , be mean square error, paint and forecast data and the original data in contrast to Fig. Hope useful)
- 2012-04-25 22:02:54下载
- 积分:1
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DOA_MVDR
智能天线MVDR算法,自适应检测DOA,达到优化性能的目的。(The smart antenna MVDR algorithm, adaptive detection DOA, to achieve the purpose of optimizing performance.)
- 2012-10-09 08:43:03下载
- 积分:1
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fisher
fisher,用于判别,用于分类,功能很强大,操作很简单(using fisher for determining, for classification)
- 2013-11-26 18:26:33下载
- 积分:1
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Wienernoisesuppression
维纳噪声抑制,1、 实验原理是利用信号之间的相关性进行信号估计,从而将噪声滤除;
2、 辅助观测信号的噪声抑制可利用Wiener-Hopf方程 求出维纳滤波器的系数 ,式中 是 的自相关阵, 是输入信号 和滤波器输入 之间的互相关矢量;
(Wiener noise suppression, 1, experiment is the use of the correlation between the signals for signal estimation, which will filter out the noise 2, the auxiliary noise suppression observed signal Wiener-Hopf equation can be obtained by Wiener filter coefficients, where is the autocorrelation matrix, is the input signal and filters the cross-correlation between the input vector )
- 2010-11-21 11:38:14下载
- 积分:1