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分析了该信号的时域、频域、倒谱，循环谱等,包含CV、CA、Single、当前、恒转弯速率、转弯模型，考虑雨衰 阴影 和多径影响，能量熵的计算，用于特征降维，特征融合，相关分析等,是国外的成品模型。( Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. It contains CV, CA, Single, current, constant turn rate, turning model, Consider shadow rain attenuation and multipath effects Energy entropy calculation, For feature reduction, feature fusion, correlation analysis, Foreign model is finished.)

Fuzzy knowledge-based system identification and modeling process is composed of two parts: variable identification and parameter identification. In variable identification, the significant variables of the system are identified among the set of possible variables. In parameter identification, the parameters of the knowledge-based system that describe the relationship between input and the output variables are identified. Parameter identification method consist of two steps: 1-find fuzzy clusters to establish the number of fuzzy rules 2-optimize the rule consequents. This code perform a fuzzy clustering using subtractive clustering

基于最小平方估计（LS）的信道估计matlb源程序(failed to translate)

dc motor simulink an rectifier input ac to inveter and out is dc rectifier to dc motor

一些matlab的程序，如交互多模，CA,CV,Singer模型的一些仿真仅供参考。(Some matlab procedures, such as interactive multimode, CA,CV,Singer model of some simulation is for reference only.)

本程序是基于WaveLab802平台作的。 包括 VisuShrink方法、SUREShrink方法、BayesShrink等方法。噪声方差大小和小波可以自行设定。(This procedure is based on the platform for WaveLab802. VisuShrink methods including, SUREShrink methods, BayesShrink and other methods. Size and wavelet noise variance can be set.)

利用分步傅里叶方法模拟光纤激光器的输出脉冲与传输距离的关系(The use of step-by-step Fourier method to simulate the output of fiber laser pulses with the transmission distance relationship)

实现地震叠前三参数反演（纵波速度、横波速度、密度）(prestack seismic inversion (compressional wave velocity, shear wave velocity, density))

说明：  利用MATLAB求解偏微分方程的有限差分法算例，可自行编写方程求解，只需更换方程即可。(Finite difference method for solving one-dimensional parabolic equation)

implement fourier transform by matlab