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matlab-work
f=zeros(30,30)
f(5:24,13:17)=1
imshow(f, notruesize )
F=fft2(f,256,256)
F2=fftshift(F)
figure,imshow(log(abs(F2)),[-1 5], notruesize )
- 2010-11-20 17:07:18下载
- 积分：1
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PID
本程序为《先进PID算法及其MATLAB实现》的matlab程序，验证好使(This program is the " advanced PID algorithm and MATLAB to achieve" the matlab program, verification so that)
- 2010-10-12 17:00:05下载
- 积分：1
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nihe
导入MATLAB数据后，能对数据进行各种拟合，包括高斯、洛伦兹、高普斯等多种拟合方式(Data fitting
)
- 2015-04-21 14:27:44下载
- 积分：1
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SVPWM
svPWM仿真，光伏逆变svpwm仿真，simulink仿真(SvPWM simulation, photovoltaic inverter SVPWM simulation, Simulink simulation)
- 2018-07-24 14:11:03下载
- 积分：1
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OFDMsourceCode
用matlab仿真实现了25 kHz 带宽内同时传送总共48 kbit/s 的两路语音(每路速率9. 6
kbit/s) 和两路数据信息(速率分别为19. 2 kbit/s 和9. 6 kbit/s) , 仿真结果表明达到了较好的误码性能。并比较了4 种数字调制方式下O FDM 系统的误码性能。(using Matlab Simulation bandwidth of 25 kHz simultaneous transmission within a total of 48 kbit/s 2 Road Voice (rate of 9 per road. 6 kbit/s) and two road data information (rate of 19. 2 kbit/s and 9. 6 kbit/s), the simulation results indicate achieve a better BER. And comparison of four types of digital modulation mode O FDM system BER.)
- 2007-03-14 13:35:41下载
- 积分：1
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Yan_Yi_8PAM
仿真8-PAM（脉冲幅度调制）载波调制信号在AWGN（加性高斯白噪声AWGN(Additive White Gaussian Noise)）信道下的误码率和误比特率性能，并与理论值相比较。(Simulation 8-PAM (pulse amplitude modulation) modulation signal in AWGN (additive white Gaussian noise AWGN (Additive White Gaussian Noise)) under the channel bit error rate and bit error rate performance, and compared with the theoretical value.)
- 2014-11-05 15:28:15下载
- 积分：1
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MATLAB-finite-element-analysis
《MATLAB有限元分析与应用》一本不错的教材(MATLAB finite element analysis and application)
- 2013-12-08 23:40:54下载
- 积分：1
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Self-and-Mutual-Impedances
computing self and mutual impedances for dipole antenna
- 2012-01-23 06:40:24下载
- 积分：1
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IllegalFormatCodePointException
Illegal Format Code Point Exception extends Illegal Format Exception implements Serializable.
- 2014-01-17 14:51:51下载
- 积分：1
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GA
说明： matlab编程，实现灰色预测模型,基于当前已有的数据，用来预测未来一段时间内的发展趋势，对于线性发展趋势拟合情况很好，对于非线性预测差一点。(matlab programming, gray prediction model based on the current available data to predict future trends over time, the linear trends fit in good condition, almost nonlinear prediction.)
- 2016-03-22 21:06:01下载
- 积分：1
