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系统辨识课上做的利用相关分析法辨识脉冲响应的实验。包括用M序列生成白噪声，计算互相关函数得到脉冲响应估计值等等，比较基础-Experiment about Identifying the pulse response with a method of correlative analysis in my class on system identification. It contains using M-sequence to generate white noise, bu calculat
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运用相关分析法来进行系统辨识，采用的是M序列输入信号。-Carried out using correlation analysis, system identification, using the M sequence input signal.
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编制以M序列为输入时，脉冲响应的相关分析算法并检验。-The preparation of the M sequence as input, the impulse response of the correlation analysis algorithm and test.
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C语言实现下面的功能：过程的输入驱动采用M序列，即u(k)是一个M序列。过程传递函数G(s)中K=120，T1=8.3Sec，T2=6.2Sec。过程的脉冲响应理论值g(k)满足。根据过程的输入输出数据u(k)和z(k)，利用相关分析算法估计出过程的脉冲响应值g2(k)。-Process input is driven by the M sequence, i.e., u (k) is an M sequence. Process transfer function G (s) K = 120,
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matlab程序实现下面的功能：过程的输入驱动采用M序列，即u(k)是一个M序列。过程传递函数G(s)中K=120，T1=8.3Sec，T2=6.2Sec。过程的脉冲响应理论值g(k)满足。根据过程的输入输出数据u(k)和z(k)，利用相关分析算法估计出过程的脉冲响应值g2(k)，并且有。-Process input is driven by the M sequence, i.e., u (k) is an M sequence. Process transfer function G (s)
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三种PN序列自相关性分析，和循环移位互相关分析gold，小m序列，walsh码-Three kinds of PN sequence from the correlation analysis, and rotate the cross-correlation analysis, contants gold, small m sequence, walsh code
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生成扩频通信中的M序列，并对m序列进行自相关和互相关的分析-Generation M-sequence spread-spectrum communications, and m sequence autocorrelation and cross-correlation analysis
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利用相关分析法辨识系统的脉冲响应并比较离散、递推、矩阵三种算法结果，包括M序列的生成-Impulse Response Identification system using correlation analysis and comparison of discrete, recursion, matrix three algorithms results, including the M sequence generation
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利用MATLAB软件对M序列及其自相关函数和互相关函数图进行了仿真分析。最后通过软件仿真验证了理论分析的正确性-he m sequence and its autocorrelation and cross-correlation function graph are simulated and analyzed by software Matlab. Finally, the correctness of the theoretical analysis is verified by soft
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