Title :
General smoothing techniques for estimating deterministic undamped sinusoidal frequencies from noisy data
Author :
Itzikowitz, S. ; Averbuch, Amir
Author_Institution :
Dept. of Comput. Sci., Tel Aviv Univ., Israel
fDate :
4/1/1993 12:00:00 AM
Abstract :
General high-resolution smoothing techniques for estimating deterministic sinusoidal frequencies from short-record noisy data are presented. Symmetric smoothings are proven to provide conjugate reciprocal polynomial roots also in the noisy case and thereby eliminate spurious frequency estimates. In numerical simulations they provided the lowest threshold of any currently existing method
Keywords :
estimation theory; noise; signal processing; conjugate reciprocal polynomial roots; deterministic undamped sinusoidal frequencies; frequency estimation; high-resolution smoothing; noisy data; numerical simulations; symmetric smoothing; threshold; Filtering algorithms; Frequency estimation; Iterative methods; Least squares approximation; Least squares methods; Maximum likelihood estimation; Numerical simulation; Polynomials; Signal to noise ratio; Smoothing methods;
Journal_Title :
Signal Processing, IEEE Transactions on
