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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 IdentificationIdentify models of dynamic systems from measured data

関数

craEstimate impulse response using prewhitened-based correlation analysis
impulseestNonparametric impulse response estimation
getpvecObtain model parameters and associated uncertainty data
setpvecModify values of model parameters
impulseestOptionsOptions set for impulseest

例および操作のヒント

概念

  • What Is Time-Domain Correlation Analysis?

    Time-domain correlation analysis refers 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 analysis refers to methods that estimate the impulse response of a linear model, without specific assumptions about model orders.