statsmodels.tsa.arima_process.deconvolve¶

statsmodels.tsa.arima_process.deconvolve(num, den, n=None)[source]¶

Deconvolves divisor out of signal, division of polynomials for n terms

calculates den^{-1} * num

Parameters:¶

numarray_like

signal or lag polynomial

denomarray_like

coefficients of lag polynomial (linear filter)

nNone or int

number of terms of quotient

Returns:¶

quotndarray

quotient or filtered series

remndarray

remainder

Notes

If num is a time series, then this applies the linear filter den^{-1}. If both num and den are both lag polynomials, then this calculates the quotient polynomial for n terms and also returns the remainder.

This is copied from scipy.signal.signaltools and added n as optional parameter.