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System identification with adaptive filter using full and partial-update Generalised-Sideband-Decomposition Least-Mean-Squares
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System identification with adaptive filter using full and partial-update Least-Mean-Squares -System identification with adaptive filter using full and partial-update Least-Mean-Squares
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System identification with adaptive filter using full and partial-update Normalised-Least-Mean-Squares
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nonlinear system identification using neural networks on matlab
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demonstrates the objects of the System Identification Toolbox.
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LMS Algorithm Demo - A system identification by the usage of the LMS algorithm.-LMS Algorithm Demo- A system identification by the usage of the LMS algorithm.
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递推最小二乘 辩识算法,算法简单易懂,按照系统辩识与自适应书上的算法编写-Recursive least squares identification algorithm easy-to-read, in accordance with the system identification and adaptive algorithm for the preparation of a book
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最小二乘法在系统实时辨识中应用，对时变系统进行辨识-Least-squares method in the application of real-time identification of time-varying system identification
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最小二乘法建模的英文文献，适用于系统辨识的方法。-Method of least squares modeling of English literature, applied to system identification methods.
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我收集整理的有关于系统辨识的资料和一些方法的优缺点-I have collated the information on the system identification and the advantages and disadvantages of some methods
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利用神经网络对输入的Ｍ序列进行线性离散系统辨识，及其改进算法-The use of neural network input M-sequence of linear discrete-time system identification, and its improved algorithm
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单一频率的正弦相关法动态测试系统的测试方法简单，不需要对系统进行辨识。只需要观察被测系统输出信号的相差和幅值变化。通过扫频的方法测量在不同的频率点下的幅值和相位变化。在工程应用中，只需要知道被测系统的相位变化在正常的范围内就可以视系统的动态性能正常。该仿真算法只是建立了一个模型。在实际运用时还需要变换测试信号的频率和周期。-A single frequency sinusoidal correlation method of testing dynamic testing system is s
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这个是 系统辨识与自适应控制MATLAB仿真一书中的 源程序，现在免费给大家分享了！有需要的朋友抓紧了！-This is the system identification and adaptive control of MATLAB simulation of a source book, now free for everyone to share! The need to pay close attention to a friend!
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自适应FIR滤波器系统识别，输出原始信号频谱，经未知系统后信号频谱和经自适应FIR滤波器后信号频谱-Adaptive FIR filter system identification, output the original signal spectrum after the signal through the unknown system by the adaptive FIR filter spectrum and signal spectrum after the
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Matlab在系統辨識中的應用,以ARMAX Model為實例(內含Matlab code)-Matlab application in system identification in order to ARMAX Model as an example (containing Matlab code)
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基于Elman网络的非线性系统辨识，选并联辨识结构-Based on the Elman network nonlinear system identification, chooses the parallel identification structure
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基于Hopfield网络的非线性系统辨识，含６个神经元-Based on Hopfield network nonlinear system identification, including 6 neurons
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关于神经网络非线性系统的辨识，模糊控制器等程序。-With regard to neural network, nonlinear system identification, fuzzy controller and other procedures.
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系统辨识，面积法（面积法一，面积法二），hankel矩阵法，Levy法，脉冲响应法辨识系统-System identification, an area of law (an area of law an area of law 2), hankel matrix method, Levy law, impulse response method Identification System
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【1】随机序列产生程序
【2】白噪声产生程序
【3】M序列产生程序
【4】二阶系统一次性完成最小二乘辨识程序
【5】实际压力系统的最小二乘辨识程序
【6】递推的最小二乘辨识程序
【7】增广的最小二乘辨识程序
【8】梯度校正的最小二乘辨识程序
【9】递推的极大似然辨识程序
【10】Bayes辨识程序
【11】改进的神经网络MBP算法对噪声系统辨识程序
【12】多维非线性函数辨识程序的Matlab程序
【13】模糊神经网络解耦M
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