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基于粒子群优化算法(PSO)确定参数的脉冲欧和神经网络滤波方法
基于粒子群优化算法(PSO)确定参数的脉冲欧和神经网络滤波方法。利用粒子群优化算法(PSO)确定pcnn图像滤波参数，对图像进行滤波(Based on Particle Swarm Optimization (PSO) to determine the parameters of the pulse in Europe and neural network filtering method. The use of particle swarm optimization (PSO) to determine PCNN parameters of image filtering, image filtering)
- 2020-07-08 20:08:56下载
- 积分：1
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popfnn
说明： popfnn神经网络，它是一种模糊伪输出的神经网络(pseudo-outer-production fuzzy nerual network).可用于模式识别。运行pop1可以训练输入的特征向量，extractionpop使用来抽取图片的特征向量的。(popfnn neural network, it is a pseudo-output fuzzy neural network (pseudo-outer-production fuzzy nerual network). can be used for pattern recognition. Can be trained to run pop1 input feature vector, extractionpop used to extract the image feature vector.)
- 2010-04-21 21:28:23下载
- 积分：1
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wave
matlab三角级数法合成人工地震波算例(matlab triangular series synthesis examples of artificial seismic waves)
- 2011-05-30 11:06:24下载
- 积分：1
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fuzzyPID
结合经典PID设计与模糊理论，设计模糊PID系统，并进行仿真(Design with classical PID and fuzzy theory, fuzzy PID system design and simulation)
- 2011-06-18 23:45:01下载
- 积分：1
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SVM_luzhenbo
支持向量机的程序，可以直接使用，对于初学者也很使用(Support vector machine (SVM) program, which can be used directly
)
- 2013-11-11 16:05:54下载
- 积分：1
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天线波束方向图
考虑一长度为D，宽度为L的理想均匀面阵天线，并用Matlab画出其二维波束方向图。(Consider an ideal uniform planar array antenna with length D and width L, and draw its two-dimensional beam pattern with MATLAB.)
- 2020-09-30 16:07:42下载
- 积分：1
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PROIECT_SwEA
Spectral analysis. Analysis, signal coding and voice synthesis in Matlab
- 2010-12-19 14:58:36下载
- 积分：1
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suijixinhao
用Matlab对随机语音信号进行处理，编制基于GUI格式的随机信号处理工程(Using Matlab to random voice signal processing system based on GUI format, the random signal processing engineering
)
- 2012-04-29 15:36:20下载
- 积分：1
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MakingSignals
file conatin a prog ram for
- 2011-10-07 02:45:58下载
- 积分：1
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Kalmanfiltertargetecognization
卡尔曼滤波对移动目标的定位与跟踪，效果明显，可以实时的对移动目标进行定位跟踪(Kalman filter positioning and tracking moving targets, the effect is obvious, can real-time location and tracking of moving targets)
- 2015-05-08 12:55:08下载
- 积分：1
