Title :
The endomorphic model: An approach to adaptive prediction
Author :
Korale, Asoka ; Constantinides, Anthony G.
Author_Institution :
Dept. of Electrical and Electronic Engineering, Imperial College, London, SW7 2BT, U.K.
Abstract :
This paper describes a method by which a set of piece-wise constant autoregressive parameters could be obtained when the source signal is subject to a multistage analysis. It also illustrates an FIR prediction scheme with application to a speech process. It describes a method where the prediction is carried out on a sample by sample basis. This prediction scheme demonstrates the possibility of having control over the prediction error by constraining it to be within a predetermined limit.
Keywords :
Adaptation models; Equations; Mathematical model; Predictive models; Speech; Speech processing; Vectors;
Conference_Titel :
Signal Processing Conference, 2000 10th European
Conference_Location :
Tampere, Finland
Print_ISBN :
978-952-1504-43-3