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Description: An AutoRegressive Moving Average Spectral Analysis toolbox for use with Matlab.-An AutoRegressive Moving Average Spectra l Analysis toolbox for use with Matlab.
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Size: 366889 |
Author: riverian |
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Description: Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed that the ARMASA toolbox is presen
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Size: 93013 |
Author: 叩瑞龙 |
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Description: An AutoRegressive Moving Average Spectral Analysis toolbox for use with Matlab.-An AutoRegressive Moving Average Spectra l Analysis toolbox for use with Matlab.
Platform: |
Size: 366592 |
Author: riverian |
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Description: Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed that the ARMASA toolbox is presen
Platform: |
Size: 93184 |
Author: 叩瑞龙 |
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Description: ARMASA 1.7版，需要Matlab version (any OS): R11 or later，-ARMASA 1.7 version requires Matlab version (any OS): R11 or later,
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Size: 403456 |
Author: 王鹏 |
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Description: This toolbox is Automatic spectral analysis for Irregular sampling/Missing data, analysis of spectral subbands, Vector Autoregressive modeling and Detection. It requires ARMASA toolbox. This toolbox can be downloaded from the Matlab Central file exchange at www.mathworks.com.
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Size: 88064 |
Author: Morteza Babaee |
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Description: 自动谱分析：可用于丢失/采样/子束光谱分析；矢量自动迭代，可用于建模，故障诊断；-The applications of this additional toolbox are:
- Automatic spectral analysis for Irregular sampling/Missing data, analysis of spectral subbands,
- Vector Autoregressive modeling and Detection [uses ARMASA]
- Reduced statistics ARMAsel: A compact yet accurate ARMA model is obtained based on a given power spectrum. Can be used for generation of colored noise with a prescribed spectrum.
- ARfil algorithm: The analysis of missing data/irregularly sampled signals
- Subband analysis: Accurate analysis of a part of the power spectrum
- Detection: Generally applicable test statistic to determine whether two signals have been generated by the same process or not. Based on the Kullback-Leibler index or Likelihood Ratio.
- Analysis of segments of data, possibly of unequal length.
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Size: 302080 |
Author: 王佳 |
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Description: ARAMA建模工具箱，很全，各种参数估计，请大家-ARMA function
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Size: 349184 |
Author: zch |
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Description: 频谱估计Automatic Spectral Analysis-Matlab code-Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed that the ARMASA toolbox is present.
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Size: 399360 |
Author: joe jia |
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Description: ARMASA 代码工具箱，可以方便地计算信号的AR/ARMA等系数，应用效果较好- DEMO_ARMASA demonstration of some ARMASA toolbox features
DEMO_ARMASA is a program script that can be invoked from the command
prompt to perform a signal analysis experiment, showing general use
of several main ARMASA functions.
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Size: 440320 |
Author: liqiang |
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Description: ARMASA code in MATLAB
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Size: 410624 |
Author: Jahetbe |
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