Title :
Detection of multiple sinusoids buried in noise via balanced model truncation
Author :
Gryka, Jeremi ; Kale, Lzzet
Author_Institution :
Dept. of Electron. Syst., Westminster Univ., London, UK
Abstract :
In this paper we examine the problem of detecting and enhancing multiple sinusoidal tones buried in noise, employing an ARMA-like model based approach, but without the non-linear optimizations. The ARMA-like models are generated through the use of the Balanced Model Truncation (BMT) method-a powerful filter approximation technique
Keywords :
approximation theory; autoregressive moving average processes; filtering theory; random noise; signal detection; ARMA-like model; balanced model truncation; filter approximation; multiple sinusoids; noise rejection filter; nonlinear optimisations; sinusoidal tones; Biomedical engineering; Electronic mail; Finite impulse response filter; IIR filters; Instrumentation and measurement; Matrix decomposition; Power generation; Power system modeling; Robustness; Signal processing algorithms;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1998. IMTC/98. Conference Proceedings. IEEE
Conference_Location :
St. Paul, MN
Print_ISBN :
0-7803-4797-8
DOI :
10.1109/IMTC.1998.676974
