DocumentCode
3096597
Title
Cumulant-based adaptive FIR filtering for frequency estimation
Author
Dianat, Soheil ; Venkataraman, S.
Author_Institution
Dept. of Electr. Eng., Rochester Inst. of Technol., NY, USA
fYear
1990
fDate
10-12 Oct. 1990
Firstpage
242
Lastpage
245
Abstract
Proposes an alternative technique for adaptive line enhancers (ALE). The new technique uses the fourth order cumulant, which is insensitive to white or colored Gaussian noise. The conventional ALE relies on measurements of the autocorrelation and/or power spectrum of the observations, or on the assumption that the additive noise is white. The autocorrelation is affected by additive Gaussian noise, and in many practical situations, the noise is spatially or temporally correlated. The proposed technique is insensitive to additive Gaussian noise. This is the main advantage of this new technique. Computer simulation has been performed.<>
Keywords
adaptive filters; correlation theory; digital filters; filtering and prediction theory; parameter estimation; statistical analysis; adaptive line enhancers; additive Gaussian noise; autocorrelation; computer simulation; cumulant-based adaptive FIR filtering; fourth order cumulant; fourth order statistics; frequency estimation; Adaptive filters; Additive noise; Autocorrelation; Filtering; Finite impulse response filter; Frequency estimation; Gaussian noise; Line enhancers; Noise measurement; Power measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on
Conference_Location
Rochester, NY, USA
Type
conf
DOI
10.1109/SPECT.1990.205583
Filename
205583
Link To Document