1988/01/01 by J.A. Cadzow · 694 citations
Computer Science · Engineering · Mathematics · #Algorithm #Artificial intelligence #Blind Source Separation Techniques #Computer science #Convergence (economics) #Image (mathematics) #Mathematics #Noise (video) #Property (philosophy) #SIGNAL (programming language) #Set (abstract data type) #Structural Health Monitoring Techniques #Ultrasonics and Acoustic Wave Propagation
paper · doi:10.1109/29.1488
published in IEEE Transactions on Acoustics Speech and Signal Processing 36(1), 49-62 (Institute of Electrical and Electronics Engineers)
openalex publication_date 1988/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29
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.>