DocumentCode :
1645142
Title :
On spectrum estimation using state space recursive least squares (SSRLS)
Author :
Malik, Muhammad B. ; Hassan, Ata-ul-Basit ; Ghazi, Imran ; Hakeem, Muhammad U.
Author_Institution :
Nat. Univ. of Sci. & Technol., Pakistan
fYear :
2004
Firstpage :
196
Lastpage :
200
Abstract :
Filter bank structures have traditionally been used for several applications that require the decomposition of a signal into its main spectral components. This paper presents a new spectral estimation method which employs a bank of adaptive resonator filters based on state space recursive least squares algorithm. This approach is expected to find its application in areas like communication systems, besides being an important theoretical contribution.
Keywords :
adaptive filters; least squares approximations; recursive estimation; resonators; signal processing; adaptive resonator filters; filter bank structures; spectral estimation; state space recursive least squares; Band pass filters; Filter bank; Least squares approximation; Recursive estimation; Resonator filters; Riccati equations; Signal processing algorithms; Spectral analysis; State estimation; State-space methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multitopic Conference, 2004. Proceedings of INMIC 2004. 8th International
Print_ISBN :
0-7803-8680-9
Type :
conf
DOI :
10.1109/INMIC.2004.1492871
Filename :
1492871
Link To Document :
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