A fixed point computation of partial correlation coefficients in linear prediction

This paper introduces a new method for the computation of the partial correlation coefficients from the autocorrelation sequence. Derived from Levinson´s algorithm, it involves the calculation of the crosscorrelations between the inputs and the outputs of the successive models which are formed. Using these, a fixed-point implementation is found for real time speech analysis on a 16-bits microprocessor. The method also gives an approximation of the impulse response of the system, which may be useful for identification with moving average models.