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radar-ambiguity-function
用于计算雷达模糊函数及其性质，关系到雷达的性能计算，很有用！(It s of great importance in computing radar s ambiguity function and property.)
- 2014-03-28 09:22:14下载
- 积分：1
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digitalsignalprogress
关于离散傅立叶变换以及具体的matlab实现例子(On the Discrete Fourier Transform, as well as the achievement of specific examples matlab)
- 2009-06-06 20:02:10下载
- 积分：1
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ABEL_PLD_Tips
ABEL PLD编程笔记 ABEL PLD编程笔记 ABEL PLD编程笔记(ABEL PLD programming notes ABEL PLD programming notes ABEL PLD programming notes)
- 2011-01-15 11:23:07下载
- 积分：1
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matlab编程
绘制数控加工叶瓣稳定图，基于matlab的用于铣削动力学建模的稳定性叶瓣图分析(Draw the stability profile of nc machining blade lobe, and analyze the stability profile based on matlab for milling dynamics modeling)
- 2020-09-20 13:37:53下载
- 积分：1
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zigbee(matlab)
说明： 在matlab实现的zigbee源代码，并有相关论文做描述，比较全面(Zigbee achieved in the matlab source code, and have the relevant papers to do a description of a more comprehensive)
- 2008-09-04 14:28:28下载
- 积分：1
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robertpreittsobel
this is the programs for robert prewwitt sobel operators for images from gonazalvez book digital image processing
- 2010-10-30 12:55:29下载
- 积分：1
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SpectrumAnalysis
采样点分别为16和256时的频谱和高分辨频谱分析图(Sampling points 16 and 256 respectively when the frequency spectrum and high-resolution spectrum analysis chart)
- 2010-05-31 10:50:15下载
- 积分：1
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GUI1
可以进行离散信号与连续信号的卷积演示的界面，包括各种信号的演算，可展示结果。(Can be discrete convolution signal with a continuous signal interface presentation, including the calculation of various signals, display the results.)
- 2011-09-27 15:21:29下载
- 积分：1
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manish
[mimi,i]=min(abs(imag(disp1)-imag(disp2)))
legend( LHS of dispersion relation , RHS of dispersion equation )
xlabel( u,cl )
figure(1)
clc
uppercuts = input( Enter number of intersection points desired: )
[g,h] = ginput(uppercuts)
w = sqrt(V.^2-u.^2)
s = sprintf( Constants:
)
disp(s)
for p = 1:uppercuts
s = sprintf( u( d d) = 0.10f ,L-1,p,u(p))
disp(s)
s = sprintf( w( d d) = 0.10f
,L-1,p,w(p))
disp(s)
- 2013-04-12 17:16:39下载
- 积分：1
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61046606ABCNNTrain
Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */
- 2013-12-10 16:40:45下载
- 积分：1
