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ARMA-Java源代码
- 函数ARMA(data, p, q)， 纯java代码。 里面有main函数，可以直接测试。 根据教科书的c++代码改的java代码。 只有一个文件，使用非常方便。 （注：这个代码应该不好找，因为matlab的armax转换成jar包是无法使用的，JSML又不是开源的） 对于想用java实现arma的程序员无疑还是很有用的。
ARMAX
- ARMAX辨识，利用输入输出数据辨识系统模型-ARMAX identification using input and output data to identify
arma
- 实现了求ARMA模型的两种算法，用matlab实现-ARMA model for the realization of the two algorithms, with the realization of matlab
MatlabSystemIdentification
- 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)
armax
- armax code gives gud results
si
- 系统辨识作业，仿真比较OE模型 ARMAX模型 和ARX模型的便是效果，内涵ppt。-System identification operation, the simulation model compared OE and ARX model ARMAX model is the effect, meaning ppt.
ARX+ARMAX
- Here,we want to estimate a system with ARX and ARMAX. the euation of system is : 2(s+1)/s^2+2s+2 so first, we find the discrete equation that sampling frequency is 100ms. Here,in our sample,na=nb=2,nc=1 also ,thi
identification-program-for-homework
- program for identifacation ,two demention ARMAX model
suma_armax
- suma armax suma armax suma armax-suma armax suma armax suma armax suma armax suma armax
ARMAXpq
- 能够确定ARMAX模型阶数，并含有数据，可直接执行-ARMAX model order can be determined, and contains data that can be directly executed
LS-Estimate
- this code simulates the least squares estimate of a system using the ARMAX model
ARMAX
- 根据输入输出数据，进行ARMA定阶、辨识，可用于SISO的最小方差控制系统性能评价-According to the input and output data, ARMA order determination, identification, control systems can be used to minimize the variance of performance uation SISO
ARMAX
- 系统辨识基础编程，生成输出信号。适合初学学生。阶跃信号作为输入，经ARMAX模型，产生输出。-Basic programming system identification, generates an output signal. Suitable for beginners students. Step signal as input, the ARMAX model, produce output.
LSM_identification
- 基于最小二乘的系统辨识程序,可以实现对ARMAX模型的参数辨识，内容包含了单次最小二乘辨识算法和递推最小二乘算法的实现(the system identification method based on LSM.)
PEM_ARMAX
- % Identification of ARMAX models through PEM
extended_rls
- 本例程为系统辨识中的增广最小二乘法的matlab实现，用于解决ARMAX模型的辨识。(This routine as augmented least-square method in the identification of the system of matlab, is used to solve the ARMAX model identification.)