Mileounis, GarasimosBabadi, BehtashKalouptsidis, NicholasTarokh, Vahid2011-01-262010Mileounis, Garasimos, Behtash Babadi, Nicholas Kalouptsidis, and Vahid Tarokh. 2010. IEEE Transactions on Signal Processing 58(6): 5424024.1053-587Xhttp://nrs.harvard.edu/urn-3:HUL.InstRepos:4687242Greedy algorithms form an essential tool for compressed sensing. However, their inherent batch mode discourages their use in time-varying environments due to significant complexity and storage requirements. In this paper two existing powerful greedy schemes developed in the literature are converted into an adaptive algorithm which is applied to estimation of a class of nonlinear communication systems. Performance is assessed via computer simulations on a variety of linear and nonlinear channels; all confirm significant improvements over conventional methods.en-USadaptive filtersARMA processescompressed sensingequalizersnonlinear systemsJournal Article2011-01-2610.1109/TSP.2010.2044841