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数据拟合

于 2019-05-28 发布

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说明：利用MATLAB进行数据拟合，常见的数据拟合方法。包括：一元函数插值、样条插值、多项式插值或拟合、曲线拟合、拉格朗日插值法等。(MATLAB data fitting, common data fitting methods. It includes: interpolation of unitary function, spline interpolation, polynomial interpolation or fitting, curve fitting, Lagrange interpolation, etc.)

文件列表：

数据拟合, 0 , 2019-05-28
数据拟合\CURVEFIT.M, 5663 , 2003-08-22
数据拟合\GRIDDATA.M, 15769 , 2003-08-22
数据拟合\INTERP1.M, 13206 , 2003-08-22
数据拟合\INTERP2.M, 18639 , 2003-08-22
数据拟合\LAGRANGE.M, 736 , 2003-08-22
数据拟合\SPLINE.M, 4808 , 2003-08-22

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文件中包含有AM, DSB-SC, FM, PLL, Data Acquisition, Digital Data Transmission, PCM和Delta Modulation的simulink环境下的实现 (This project allows you to learn the communication systems in greater depth by giving you the reins to play with it ! It contains the simulink files (*.mdl) which are block design files of various communication systems such as AM, DSB-SC, FM, PLL, Data Acquisition, Digital Data Transmission, PCM and Delta Modulation. )

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该算法用于对信号进行频谱分析，以及噪声处理(The algorithm is used for spectrum analysis of the signal, and noise processing)

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采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr）(Using two training methods, namely, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr))

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