Title :
Detection and identification of sinusoids in broadband noise via a parallel recursive ALE
Author :
Hush, Don ; Ahmed, Nasir
Author_Institution :
University of New Mexico, Albuquerque, New Mexico
Abstract :
This paper presents an adaptive scheme for the detection and identification of the sinusoidal componments in a received signal. It uses a recursive ALE (Adaptive Line Enhancer) which is implemented as the sum of constrained second-order bandpass filters. Although not as robust as other non-recursive schemes for detection and identification, it is far more efficient with respect to the number of computations required.
Keywords :
Adaptive algorithm; Adaptive signal detection; Band pass filters; Bandwidth; Finite impulse response filter; Frequency estimation; Line enhancers; Robustness; Signal processing; Transfer functions;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '85.
DOI :
10.1109/ICASSP.1985.1168279