Title :
Signal enhancement-a composite property mapping algorithm
Author :
Cadzow, James A.
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
fDate :
1/1/1988 12:00:00 AM
Abstract :
A signal enhancement algorithm is developed that seeks to recover a signal from noise-contaminated distorted measurements made on that signal. This object is achieved by utilizing a set of properties which the signal is known or is hypothesized as possessing. The measured signal is modified to the smallest degree necessary to sequentially possess each of the individual properties. Conditions for the algorithm´s convergence are established in which the primary requirement is that a composite property mapping be closed. This is a relatively unrestricted condition in comparison to that required of most existing signal-enhancement algorithms
Keywords :
convergence; noise; signal processing; composite property mapping algorithm; convergence; noise-contaminated distorted measurements; signal enhancement algorithm; signal properties; Autocorrelation; Convergence; Digital filters; Distortion measurement; Fourier transforms; Noise measurement; Signal mapping; Signal processing; Signal processing algorithms; Signal synthesis;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on