FREQUENCY ESTIMATION BY LINEAR PREDICTION.

Authors

Leland B. JacksonFollow
Donald W. Tufts
Frank K. Soong
Rahul M. Rao

Document Type

Article

Date of Original Version

1-1-1978

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 corresponding 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.

Citation/Publisher Attribution

Jackson, Leland B., Donald W. Tufts, Frank K. Soong, and Rahul M. Rao. "FREQUENCY ESTIMATION BY LINEAR PREDICTION.." (1978): 352-356. https://digitalcommons.uri.edu/ele_facpubs/639