Title :
Real-time detection of transient signals using spline-wavelets
Author :
Cheung, A.C. ; Chui, C.K. ; Chan, A.K.
Author_Institution :
City Polytech. Inst. of Hong Kong, Hong Kong
Abstract :
Compactly supported spline-wavelets are used to process simulated transient signals in a noisy environment. It is found that linear-phase spline-wavelets can be effectively used as near-optimal time-domain windows to localize the signal onsets. This technique does not require prior knowledge of the signal. Results are demonstrated numerically by the detection of signal arrivals in noise
Keywords :
signal detection; splines (mathematics); wavelet transforms; compactly-supported spline-wavelets; linear-phase spline-wavelets; near-optimal time-domain windows; noisy environment; real-time detection; signal arrivals; signal onset localisation; transient signals; Fourier transforms; Frequency; Signal analysis; Signal detection; Signal processing; Spline; Time domain analysis; Wavelet analysis; Wavelet transforms; Working environment noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226361
