搜索资源列表
-
0下载：
系统辨识中，一个很重要的方法是用相关分析法辨识脉冲响应，该程序可以计算出输入和输出序列的互相关函数，以及计算出脉冲响应估计值-system identification, a very important way is to analyze the identification impulse response, the program can calculate the input and output sequence of cross-correlation function, and c
-
-
2下载：
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
-
-
0下载：
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
-
-
1下载：
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.
-
-
1下载：
系统辨识实验解答，利用相关分析法辨识脉冲响应，包括题目、M文件程序以及完整的实验报告。-System identification experiments to answer, using correlation analysis, identification of impulse response, including the subject, M documentation procedures, and complete lab report.
-
-
0下载：
利用相关法进行系统辨识的matlab程序
包含m文件和simulink仿真图-System identification using the correlation method
-
-
1下载：
利用相关分析法对系统进行辨识，使用matlab,能够成功辨识出系统传递函数-Correlation analysis method using the system identification, the use of matlab, can successfully identify the system transfer function
-
-
0下载：
系统辨识作业，输入信号为M序列，利用互相关函数及脉冲响应法求出系统的传递函数。-Identification of the operating system, the input signal for the M series, the transfer function of the system is obtained using cross-correlation function and impulse response method.
-
-
0下载：
系统辨识与自适应控制相关分析法实现脉冲响应辨识-System identification and adaptive control correlation analysis method for impulse response identification
-
-
1下载：
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
-
-
0下载：
PLS算法能较好地解决自变量之间存在的相关性问题，最大限度地概括自变量空间的数据变化信息与自变量对因变量的解释作用，因而被广泛用于解决科学计算、工业控制和信号处理中的特征提取、数据拟合、系统辨识和参数估计等问题。-PLS algorithm can effectively solve the problem of correlation exists between independent variables that maximize the generalization of indepen
-
-
0下载：
雅克比迭代求解线性方程组课设,关于非线性离散系统辨识，实现典型相关分析。- Jacobi iteration for solving linear equations class-based, Nonlinear discrete system identification, Achieve canonical correlation analysis.
-
-
1下载：
MATLAB程序，系统辨识利用相关分析法辨识脉冲响应，简单实现-MATLAB program, system identification using correlation analysis to identify the impulse response, simple implementation
-
-
0下载：
关于非线性离散系统辨识，有均匀线阵的CRB曲线，包括广义互相关函数GCC时延估计。- Nonlinear discrete system identification, There ULA CRB curve, Including the generalized cross-correlation function GCC time delay estimation.
-
-
0下载：
阵列信号处理的高分辨率估计，关于非线性离散系统辨识，包括广义互相关函数GCC时延估计。- High-resolution array signal processing estimates, Nonlinear discrete system identification, Including the generalized cross-correlation function GCC time delay estimation.
-
-
0下载：
使用高阶累积量对MPSK信号进行调制识别，关于非线性离散系统辨识，matlab实现了五类灰色关联度模型的计算。- Using high-order cumulants of MPSK signal modulation recognition, Nonlinear discrete system identification, matlab implements five gray correlation degree computing model.
-
-
0下载：
关于非线性离散系统辨识，matlab开发工具箱中的支持向量机，用于特征降维，特征融合，相关分析等。- Nonlinear discrete system identification, matlab development toolbox support vector machine, For feature reduction, feature fusion, correlation analysis.
-
-
0下载：
在matlab环境中自动识别连通区域的大小,关于非线性离散系统辨识，用于特征降维，特征融合，相关分析等。- Automatic identification in the matlab environment the size of the connected area, Nonlinear discrete system identification, For feature reduction, feature fusion, correlation analysis.
-
-
0下载：
有均匀线阵的CRB曲线，用于特征降维，特征融合，相关分析等,关于非线性离散系统辨识。- There ULA CRB curve, For feature reduction, feature fusion, correlation analysis, Nonlinear discrete system identification.
-
-
0下载：
chirp信号相关处理，与M序列的比较，chirp信号在系统辨识中的应用(Chirp signal correlation processing and comparison with M sequence, and application of chirp signal in system identification)
-
