Description: 计算ARMA(p，q)模型的功率谱密度。
形参说明：
b——双精度实型一维数组，长度为(q+1),存放ARMA(p，q)模型的滑动平均系数。
a——双精度实型一维数组，长度为(p+1),存放ARMA(p,q)模型的自回归系数。
q——整型变量,ARMA(p,q)模型的滑动平均阶数。
p——整型变量,ARMA(p,q)模型的自回归阶数。
sigma2——双精度实型变量,ARMA(p,q)模型白噪声激励的方差。
fs——双精度实型变量,采样频率(Hz)。
x——双精度实型一维数组,长度为len。当sign＝0时，存放功率谱密度；当sign＝
1时，存放用分贝表示的功率谱密度。
freq——双精度实型一维数组，长度为len。存放功率谱密度所对应的频率。
len——整型变量，功率谱密度的数据点数。
sign——整型变量,当sign＝0时，计算功率谱密度；当sign＝1时，计算用分贝表
示的功率谱密度。
-calculated ARMA (p, q) model of the power spectral density. - Participation : b -- double-precision real one-dimensional arrays, length (q 1), storage ARMA (p, q) model of the average coefficient of sliding. A -- double-precision real one-dimensional arrays, length (p 1), storage ARMA (p, q) model of regression coefficients. Q -- integer variables, ARMA (p, q) moving average model of order. P -- integer variables, ARMA (p, q) model of order since the reunification. Sigma2 -- double precision real-type variables, ARMA (p, q) model white noise variance. Fs -- double precision real-type variables, sampling frequency (Hz). X -- double-precision real one-dimensional array, the length of len. When the sign = 0, storage power spectral density; When the sign = 1:00, storage decibel levels, said th Platform: |
Size: 24159 |
Author:lkz |
Hits:
Description: 计算ARMA(p，q)模型的功率谱密度。
形参说明：
b——双精度实型一维数组，长度为(q+1),存放ARMA(p，q)模型的滑动平均系数。
a——双精度实型一维数组，长度为(p+1),存放ARMA(p,q)模型的自回归系数。
q——整型变量,ARMA(p,q)模型的滑动平均阶数。
p——整型变量,ARMA(p,q)模型的自回归阶数。
sigma2——双精度实型变量,ARMA(p,q)模型白噪声激励的方差。
fs——双精度实型变量,采样频率(Hz)。
x——双精度实型一维数组,长度为len。当sign＝0时，存放功率谱密度；当sign＝
1时，存放用分贝表示的功率谱密度。
freq——双精度实型一维数组，长度为len。存放功率谱密度所对应的频率。
len——整型变量，功率谱密度的数据点数。
sign——整型变量,当sign＝0时，计算功率谱密度；当sign＝1时，计算用分贝表
示的功率谱密度。
-calculated ARMA (p, q) model of the power spectral density.- Participation : b-- double-precision real one-dimensional arrays, length (q 1), storage ARMA (p, q) model of the average coefficient of sliding. A-- double-precision real one-dimensional arrays, length (p 1), storage ARMA (p, q) model of regression coefficients. Q-- integer variables, ARMA (p, q) moving average model of order. P-- integer variables, ARMA (p, q) model of order since the reunification. Sigma2-- double precision real-type variables, ARMA (p, q) model white noise variance. Fs-- double precision real-type variables, sampling frequency (Hz). X-- double-precision real one-dimensional array, the length of len. When the sign = 0, storage power spectral density; When the sign = 1:00, storage decibel levels, said th Platform: |
Size: 23552 |
Author:lkz |
Hits:
Description: 根据ARMA模型中Kaveh谱估计方法用C++求出仿真观测数据的功率谱密度-According to Kaveh ARMA model spectral estimation method using C++ simulation of the observation data obtained power spectral density Platform: |
Size: 3072 |
Author:蒋利 |
Hits:
Description: 估计ARMA(自回归滑动平均)模型参数及其功率谱密度（PSD）-Estimated ARMA (ARMA) model parameters and power spectral density (PSD) Platform: |
Size: 2048 |
Author:yuanman |
Hits:
Description: 风力发电机组不同于火电等传统发电机组的最大之处
在于其原动机功率的本质不可控，这是由风速的易变性和不
可控性造成的。风速状况对风力发电系统的性能有着重要的
影响，也使得风速模型成为风力发电系统仿真模型的重要部
分。该文针对风速随机变化的特性，在风速统计特性研究的
基础上，用自回归滑动平均(ARMA)方法建立了具有一定
功率谱密度特性的风速模型。对该模型所模拟的风速序列进
行了分析和验证，并与现有仿真程序中风速模型的结果进行
了对比，结果表明该文提出的ARMA模型能够有效地产生
动态分析和仿真所需的风速序列。
-Unlike traditional thermal power generating units in the uncontrollable nature of its prime mover power wind turbine, which is caused by the variability of the wind speed and uncontrollability. Wind speed condition has an important impact on the performance of the wind power generation system, and also makes wind model to become an important part of the wind power system simulation model. Paper, the characteristics of wind speed changes randomly, on the basis of the wind speed statistical characteristics of self-regressive moving average (ARMA) method to set up wind speed model has a certain power spectral density characteristics. Analysis and validation of the model simulated wind speed sequence, compared with the results of existing simulation program in wind speed model, results show that the proposed ARMA model can effectively generate dynamic analysis and simulation of the wind speed required sequence . Platform: |
Size: 234496 |
Author:快淹死的yu |
Hits:
Description: 利用LS-TLS算法估计ARMA模型中AR参数估计谱功率密度-Use LS-TLS algorithm to estimate the ARMA model parameter estimation AR spectral power density Platform: |
Size: 1024 |
Author:黄云 |
Hits:
Search - power spectral density ARMA model