Naslov
Spectral Line RLS Adaptive Filtering Algorithm

Autori
Begušić, Dinko ; Linebarger, Darel ; Dowling, Eric M. ; Raghothaman, Balaji

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the International Conference on Acoustics, Speech and Signal Processing ICASSP '99 / Rodriguez, Jeffrey - Piscataway (NJ) : Institute of Electrical and Electronics Engineers (IEEE), 1999, 1261-1264

Skup
1999 IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP '99

Mjesto i datum
Phoenix (AZ), Sjedinjene Američke Države, 15.03.1999. - 19.03.1999

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Adaptive filters; transform domain; RLS algorithm; adaptive line enhancer

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

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