Title :
Frequency estimation by linear prediction
Author :
Jackson, Leland B. ; Tufts, Donald W. ; Soong, Frank K. ; Rao, Rahul M.
Author_Institution :
University of Rhode Island, Kingston, Rhode Island
Abstract :
The application of linear prediction to frequency estimation for sinusoidal signals in noise is investigated. It is shown that improved performance is obtained by processing a complex-valued version of the real-valued input signal, with the corresponsing sampling rate reduced by one-half. The case of a single sinusoid in white noise is studied in detail, including the eigenvalues of the covariance matrix, zeros of the inverse filter polynomial, frequency bias, and frequency variance as a function of input SNR and prediction order.
Keywords :
Covariance matrix; Eigenvalues and eigenfunctions; Entropy; Filters; Frequency estimation; Predictive models; Signal processing; Signal sampling; Signal to noise ratio; White noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '78.
DOI :
10.1109/ICASSP.1978.1170417