Title :
Deconvolution of sparse spike trains using local selection strategy
Author :
Fathi, L. ; Ouamri, A. ; Keche, M. ; Ouldmammar, M.
Author_Institution :
Inst. d´´Electron., Univ. des Sci. et de la Technol. d´´Oran, Oran El-Mnouar, Algeria
fDate :
2/17/2000 12:00:00 AM
Abstract :
A new algorithm for the deconvolution of sparse spike trains using a local selection strategy is presented. Simulation results show that the proposed algorithm improves the performance in terms of both quality of estimation and execution time
Keywords :
deconvolution; signal restoration; deconvolution; execution time; local selection strategy; quality of estimation; signal restoration; sparse spike trains;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20000265
