Title :
Signal enhancement of Wigner-Ville time-frequency signals
Author :
Wang, Chunchao ; Cadzow, James A.
Author_Institution :
Dept. of Electr. Eng., Vanderbilt Univ., Nashville, TN, USA
Abstract :
A singular-valued-decomposition-based algorithmic procedure which significantly increases the signal-noise ratio (SNR) and preserves the shape of the time-frequency signal is presented. This algorithm is effective for both small and large time-bandwidth product signals. It is based on a set of Wigner distribution properties for such signals and is formulated in a time-frequency signal subspace. The results from applying the algorithm to the task of recovering wideband chirp signals in a low-SNR environment are examined
Keywords :
signal processing; SNR; Wigner distribution properties; Wigner-Ville time-frequency signals; large time-bandwidth product signals; signal enhancement; signal-noise ratio; singular-valued-decomposition-based algorithmic procedure; small time-bandwidth product signals; time-frequency signal subspace; wideband chirp signals; Biomedical measurements; Distributed computing; Finite impulse response filter; Geophysical measurements; Noise measurement; Pollution measurement; Signal processing algorithms; Signal synthesis; Signal to noise ratio; Time frequency analysis;
Conference_Titel :
Southeastcon '90. Proceedings., IEEE
Conference_Location :
New Orleans, LA
DOI :
10.1109/SECON.1990.117914
