DocumentCode
1740045
Title
Detecting dynamical signals using singular spectrum analysis
Author
Tianfang, Cai ; Tianxing, Cai
Author_Institution
Dept. of Phys., Northern Jiaotong Univ., Beijing, China
Volume
1
fYear
2000
fDate
2000
Firstpage
290
Abstract
The singular spectrum analysis technique has been applied in nonlinear signal processing. By comparing both singular spectra of background noise and corruption signal, we show that detection of weak chaotic signals by an nonlinear scheme is possible even the signal-to-noise ratio reaches negative value
Keywords
chaos; noise; signal detection; signal processing; singular value decomposition; spectral analysis; SNR; SVD algorithm; background noise; chaotic circuit measurement; dynamical signals detection; nonlinear signal processing; signal-to-noise ratio; singular spectrum analysis; singular value decomposition; weak chaotic signals detection; Chaos; Density functional theory; Detection algorithms; Fourier transforms; Noise level; Signal analysis; Signal detection; Signal processing; Signal processing algorithms; Speech analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-5747-7
Type
conf
DOI
10.1109/ICOSP.2000.894493
Filename
894493
Link To Document