An Adaptive Greedy Algorithm With Application to Nonlinear Communications

作者：Mileounis Gerasimos^*; Babadi Behtash; Kalouptsidis Nicholas; Tarokh Vahid

来源：IEEE Transactions on Signal Processing, 2010, 58(6): 2998-3007.

DOI：10.1109/TSP.2010.2044841

• Adaptive filters
• ARMA processes
• compressed sensing
• equalizers
• nonlinear systems

Greedy 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.

• 出版日期2010-6