On a covariance-lattice algorithm for linear prediction

The paper presents a new formulation of the so-called "covariance-lattice" algorithm for linear predictive analysis. The new method makes no explicit use of the predictor coefficients but works directly on the reflection coefficients, so being better suited to fixed-point arithmetic implementation. An example of application to speech data illustrates the above point.