Title :
Linear signal synthesis using the Radon-Wigner transform
Author :
Wood, John C. ; Barry, Daniel T.
Author_Institution :
Bioeng. Program, Michigan Univ., Ann Arbor, MI, USA
fDate :
8/1/1994 12:00:00 AM
Abstract :
Thresholding the Radon-Wigner transform (RWT) followed by filtered backprojection to the time-frequency plane reduces noise and cross-term power for multicomponent linear-FM signals. Although the RWT is bilinear, it may be calculated as the magnitude-squared of two linear functions. In this paper, we derive a linear synthesis algorithm from the RWT and demonstrate its efficacy
Keywords :
filtering and prediction theory; frequency modulation; signal detection; signal synthesis; transforms; Radon-Wigner transform; cross-term power reduction; filtered backprojection; linear functions; linear signal synthesis; linear synthesis algorithm; magnitude-squared; multicomponent linear-FM signals; noise reduction; signal detection; time-frequency plane; Chirp; Helium; Maximum likelihood estimation; Noise reduction; Nonlinear filters; Signal analysis; Signal synthesis; Statistical distributions; Time frequency analysis; Yield estimation;
Journal_Title :
Signal Processing, IEEE Transactions on