Title :
Detecting dynamical signals using singular spectrum analysis
Author :
Tianfang, Cai ; Tianxing, Cai
Author_Institution :
Dept. of Phys., Northern Jiaotong Univ., Beijing, China
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;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.894493
