Title :
Accuracy of frequency estimation and its relation to prediction filter order
Author :
Tufts, D.W. ; Kumaresan, R.
Author_Institution :
University of Rhode Island, Kingston, Rhode Island, USA
Abstract :
Estimates of frequencies of noise corrupted sinusoidal signals are often obtained from the zero locations of data adaptive or prediction error filters [1,2]. It is well known that the frequency estimation error decreases as the order of the prediction error filter is increased for a given data record length. In this paper, we explain this phenomenon, at high SNR by calculating the statistics of the estimation error.
Keywords :
Adaptive filters; Data mining; Equations; Error analysis; Estimation error; Frequency estimation; Gaussian noise; Predictive models; Probability density function; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
DOI :
10.1109/ICASSP.1984.1172813