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signal3
MATLAB 下的数字信号处理实现示例
包括:
单位脉冲序列
矩形序列
特定冲击串
卷积计算
卷积定律验证
(MATLAB under the realization of digital signal processing examples include: unit rectangular pulse sequence sequence-specific impact of the law of string convolution convolution calculation to verify)
- 2007-10-31 11:31:39下载
- 积分：1
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qpsk-modulation-and-demodulation
QPSK调制方法、解调方法等的利用matlab进行仿真实验(QPSK modulation and demodulation)
- 2013-04-25 22:43:22下载
- 积分：1
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smith
用matlab实现单双枝节阻抗匹配，并用smith圆图匹配演示过程(Using matlab to achieve single-and double-side impedance matching, and demonstrate smith circle graph matching process)
- 2009-06-04 22:45:07下载
- 积分：1
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algorithmofneuralnetwork
说明： 用matlab实现神经网络的算法，代码简练可运行。(The algorithm of neural network is written in the matlab environment.The code is simple and good,It can run very well.)
- 2010-03-22 15:38:53下载
- 积分：1
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voronoi
matlab生成的voronoi图,可用于多相复合材料的计算问题。(to creat a voronoi )
- 2011-04-20 09:56:03下载
- 积分：1
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the11part
matlab算法第11章内容其他部分陆续上传中请稍后(matlab algorithm for the content of other parts of Chapter 11 in succession, please upload later)
- 2010-05-25 16:51:02下载
- 积分：1
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pzmap
利用matlab 的系统函数绘制连续系统的零极点图。(draw the pzmap of continuous system)
- 2010-06-01 15:10:35下载
- 积分：1
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dim-pca
Dimension reduction using principal component analysis.
- 2012-01-17 13:03:48下载
- 积分：1
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DE
说明： 一个简单的差分进化算法例子，包含算法的基本流程。(A simple differential evolution algorithm，which contains the basic process of the DE.)
- 2015-04-10 10:14:24下载
- 积分：1
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med2d
一种基于最小熵反褶积( ]8+83)3 6+D*(A4 Q20(+W(-)D8(+，]6Q) 的滚动轴承故障特征提取方法: 在利用 /X 模型去除齿轮啮合产生的确定性信号的基础上，对保留信号进行最小熵反褶积，增强冲击信号"该方法避免了传统轴承故障诊断方法中带通滤波器设计的难题，实车测试表明: 与共振解调技术相比，该方法提取的滚动轴承故障特征更加明显，更适合于工程应用"(Based on minimum entropy deconvolution (] 8+83) 3 6+D* (A4 Q20 (+W (-) D8 (+,] 6Q)' s fault feature extraction method: using/X model to remove the uncertainty generated signal gear on the basis of the retention signal minimum entropy deconvolution, and enhance the impact of signal " This method avoids the problems of traditional bearing fault diagnosis method of the bandpass filter design, real vehicle test showed that: compared with the resonance demodulation technology, which fault feature extraction method is more obvious, more suitable for engineering applications. " )
- 2020-12-04 22:49:24下载
- 积分：1
