IRIS Toolbox Reference Manual

## ffrf

Filter frequency response function of transition variables to measurement variables

#### Syntax

    [F,List] = ffrf(M,Freq,...)

#### Input arguments

- `M` [ model ] - Model object for which the frequency response function will be computed.

- `Freq` [ numeric ] - Vector of frequencies for which the response function will be computed.

#### Output arguments

- `F` [ numeric ] - Array with frequency responses of transition variables (in rows) to measurement variables (in columns).

- `List` [ cell ] - List of transition variables in rows of the `F` matrix, and list of measurement variables in columns of the `F` matrix.

#### Options

- `'include='` [ char | cellstr | `Inf` ] - Include the effect of the listed measurement variables only; `Inf` means all measurement variables.

- `'exclude='` [ char | cellstr | empty ] - Remove the effect of the listed measurement variables.

- `'maxIter='` [ numeric | 500 ] - Maximum number of iteration when computing the steady-state Kalman filter.

- `'output='` [ `'namedmat'` | `'numeric'` ] - Output matrix `F` will be either a namedmat object or a plain numeric array; if the option `'select='` is used, `'output='` is always `'namedmat'`.

- `'select='` [ char | cellstr | `Inf` ] - Return the frequency response function for selected variables only; `Inf` means all variables.

- `'tolerance='` [ numeric | 1e-7 ] - Convergence tolerance when computing the steady-state Kalman filter.

#### Description

#### Example

IRIS Toolbox. Copyright © 2007—2013 Jaromir Benes.