Spectral Line RLS Adaptive Filtering Algorithm (CROSBI ID 480728)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Begušić, Dinko ; Linebarger, Darel ; Dowling, Eric M. ; Raghothaman, Balaji
engleski
Spectral Line RLS Adaptive Filtering Algorithm
A family of adaptive filtering algorithms for processing signals which have energy concentrated in a relatively small number of component subspaces in the spectral domain is introduced. The approach is based on transform domain signal decomposition and linear least squares adaptive filtering of the selected subset of transform domain signal components. The derivation is based on the linear least squares adaptive filtering framework introduced in our previous work. Fast convergence and computational efficiency are the main characteristics of the resulting algorithms. The method is applied to the problem of adaptive line enhancement comb filtering and DFT is used as a transform method. It is also shown that the resulting adaptive structure is capable of handling the case of non-coinciding frequencies. The performance of the algorithm is evaluated through a series of simulation experiments.
Adaptive filters; transform domain; RLS algorithm; adaptive line enhancer
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Podaci o prilogu
1261-1264-x.
1999.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the International Conference on Acoustics, Speech and Signal Processing ICASSP '99
Rodriguez, Jeffrey
Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE)
Podaci o skupu
1999 IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP '99
poster
15.03.1999-19.03.1999
Phoenix (AZ), Sjedinjene Američke Države