tsa.arima_process.deconvolve()

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:	num : array_like signal or lag polynomial denom : array_like coefficients of lag polynomial (linear filter) n : None or int number of terms of quotient
Returns:	quot : array quotient or filtered series rem : array remainder

Notes

If num is a time series, then this applies the linear filter den^{-1}. If both num and den are both lagpolynomials, 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.