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相関モデル

相関解析を使用して得られるインパルス応答モデル

アプリ

System Identification Identify models of dynamic systems from measured data

関数

cra Estimate impulse response using prewhitened-based correlation analysis
impulseest Nonparametric impulse response estimation
getpvec Obtain model parameters and associated uncertainty data
setpvec Modify values of model parameters
impulseestOptions Options set forimpulseest

例および操作のヒント

概念

  • What Is Time-Domain Correlation Analysis?

    Time-domain correlation analysisrefers to non-parametric estimation of the impulse response of dynamic systems as a finite impulse response (FIR) model from the data. The estimated model is stored as transfer function model object (idtf). For information about transfer function models, see What are Transfer Function Models?.

  • Data Supported by Correlation Analysis

    Characteristics of data supported for estimation of impulse-response models.

  • Correlation Analysis Algorithm

    Correlation analysisrefers to methods that estimate the impulse response of a linear model, without specific assumptions about model orders.