搜索资源列表
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系统辨识算法源代码 系统辨识与MATLAB仿真程序与剖析夹-System identification algorithm
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基于MATLAB开发环境的系统辨识例程，包括五个例子，涉及到最小二乘等不同的辨识算法-Development environment of system identification based on MATLAB routines, including five examples, involves the identification of different algorithms such as least squares
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用Matlab实现自适应信号处理中的系统辨识，自适应处理器采用自适应线性组合器，未知被控系统采用AR model。用了LMS算法和最速下降法实现。-Realise system identification in adaptive signal processing with matlab.The LMS algorithm and Speedest Descent method are used.
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关于系统辨识和自适应分析的ppt教学分析，通俗易懂。-Ppt teaching analysis on system identification and adaptive analysis, easy to understand.
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System Identification Toolbox
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Nonlinear System Identification: A State-Space Approach
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几个最小二乘法的算例，用于系统识别，测试可行。-Several examples of the least squares method for system identification, testing is feasible.
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系统辨识，给定数据集，用最小二乘法辨识参数，并进行白色性检验-system identification,for the given data set,use RLS to identificate the parameters and conduct white test
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系统辨识与自适应仿真程序，能够辨识出系统的参数，可以运行结果，非常实用的系统辨识程序。-System identification and adaptive simulation program, can identify the system parameters, can run the results, very practical system identification procedures.
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掌握利用相关分析法辩识离散线性系统冲激响应特性的基本步骤和使用要点-System identification
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基本最小二乘，辅助变量最小二乘，相关分析最小二乘三种系统辨识方法对系统进行参数辨识。附实例和所有代码。-rls,ivls,corls for system identification.and a real case plus all matlab code are contained
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System identification new method matlab code.
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非线性系统辨识 的matlab的仿真模型
-Nonlinear System Identification
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系统辨识理论的代码，包括最小二乘法、极大似然法、神经网络辨识算法、梯度算法-System identification theory code, including the method of least squares, maximum likelihood method, neural network identification algorithm, gradient algorithm
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系统辨识与建模的源码
包括白噪声程序，M序列程序，以及15种系统辨识方法源码-System identification and modeling of source
Including white noise program, M sequence program, as well as 15 kinds of System Identification Code
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系统辨识最小二乘法
梯度校正参数估计法
极大似然参数估计法
多变量系统参数估计-System Identification Least Square Method
Gradient Correction Parameter Estimation
Maximum Likelihood Parameter Estimation
Multivariable System Parameter Estimation
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system identification with less number of coefficients
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基于BP算法的神经网络对一个非线性系统进行辨识，最终辨识达到稳定并有较小的辨识误差。-BP neural network algorithm is based on a nonlinear system identification, and ultimately to identify stable and has a small identification error.
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系统辨识理论及Matlab仿真（赵龙版）源代码-System Identification Theory and Matlab Simulation
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Least Mean Square for System Identification
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