Title :
Linear predictor with a new error criterion
Author_Institution :
University of South Florida, Tampa, FL, USA
Abstract :
In the conventional linear predictor the nth sample is predicted as a linear combination of the previous p samples. In this paper we seek the prediction of the nth sample as a linear combination of certain filtered signals. The normal equations for this modified form of predictor are derived and a window function, suitable for this new formulation, is proposed. For brevity we will consider only deterministic signals. The advantages of this modified linear predictor are demonstrated by an example.
Keywords :
Degradation; Difference equations; Filtering; Linear predictive coding; Nonlinear filters; Predictive models; Signal analysis; Signal generators; Signal synthesis; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '81.
DOI :
10.1109/ICASSP.1981.1171293