Title :
Robust linear prediction of band-limited signals
Author_Institution :
Dept. of Electr. Eng., Tufts Univ., Medford, MA, USA
Abstract :
The problem of getting a set of robust prediction coefficients which are independent of the underlying signal is considered. Explicit coefficients have been determined for when the sampling frequency is twice or three times the Nyquist sampling rate. It has been recently shown that it is possible to predict a bandlimited signal in terms of the past samples only. The authors show one set of such prediction coefficients which are easy to compute and show that as the number of past samples considered goes to infinity, the prediction coefficients which are easy to compute and show that as the number of past samples considered goes to infinity, the prediction error goes to zero
Keywords :
filtering and prediction theory; signal processing; Nyquist sampling rate; band-limited signals; linear prediction; robust prediction coefficients; sampling frequency; Autocorrelation; Bandwidth; Equations; Extrapolation; Frequency; H infinity control; Interpolation; Iterative algorithms; Robustness; Sampling methods;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.197105