On a covariance-lattice algorithm for linear prediction
暂无分享,去创建一个
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.
[1] N. Andersen. On the calculation of filter coefficients for maximum entropy spectral analysis , 1974 .
[2] J. Makhoul,et al. Linear prediction: A tutorial review , 1975, Proceedings of the IEEE.
[3] J. Makhoul. Stable and efficient lattice methods for linear prediction , 1977 .
[4] John Makhoul. Correction to "Stable and efficient lattice methods for linear prediction" , 1978 .