Wrtpulse: Difference between revisions
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===Purpose=== | ===Purpose=== | ||
Creates input and output matrices for finite impulse response (FIR) dynamic model identification and prediction. | Creates input and output matrices for finite impulse response (FIR) dynamic model identification and prediction. | ||
===Synopsis=== | ===Synopsis=== | ||
:[newu,newy] = wrtpulse(u,y,n,delay) | :[newu,newy] = wrtpulse(u,y,n,delay) | ||
===Description=== | ===Description=== | ||
WRTPULSE is used to write time series data with muliple inputs and a single output into a form to obtain finite impulse response (FIR) and ARX models. Inputs are a matrix of input vectors u, and an output vector y. n is a row vector with the number of coefficents to use for each input, and delay is a row vector containing the number of time units of delay for each input. The output is a matrix of lagged input variables newu and the corresponding output vector newy. | WRTPULSE is used to write time series data with muliple inputs and a single output into a form to obtain finite impulse response (FIR) and ARX models. Inputs are a matrix of input vectors u, and an output vector y. n is a row vector with the number of coefficents to use for each input, and delay is a row vector containing the number of time units of delay for each input. The output is a matrix of lagged input variables newu and the corresponding output vector newy. | ||
===See Also=== | ===See Also=== | ||
[[autocor]], [[crosscor]], [[fir2ss]], [[plspulsm]] | [[autocor]], [[crosscor]], [[fir2ss]], [[plspulsm]] | ||
Revision as of 14:27, 3 September 2008
Purpose
Creates input and output matrices for finite impulse response (FIR) dynamic model identification and prediction.
Synopsis
- [newu,newy] = wrtpulse(u,y,n,delay)
Description
WRTPULSE is used to write time series data with muliple inputs and a single output into a form to obtain finite impulse response (FIR) and ARX models. Inputs are a matrix of input vectors u, and an output vector y. n is a row vector with the number of coefficents to use for each input, and delay is a row vector containing the number of time units of delay for each input. The output is a matrix of lagged input variables newu and the corresponding output vector newy.