Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A reduced-state sequence estimator (RSSE) for linear dispersive channels is described. The technique is based on partitioning the set of all channel states in a way that defines a trellis with fer states. The new technique generalizes trellises that re previously obtained by Duel-Hallen and Heegard (1989) and Eyouboglu and Qureshi (1988). While the approach follod by Duel-Hallen results in pors of two-state trellises, the new technique generates trellises with an arbitrary number of states. Using the state partitioning approach one could also generalize the trellises obtained by Eyouboglu. Therefore, the approach described in this paper provides a better performance/complexity tradeoff.
['R.E. Kamel', 'Yeheskel Bar-Ness']
I am writing a research paper on a idea Reduced-complexity sequence estimation using state partitioning
[{"from": "human", "value": "I am writing a research paper on a idea Reduced-complexity sequence estimation using state partitioning"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A reduced-state sequence estimator (RSSE) for linear dispersive channels is described. The technique is based on partitioning the set of all channel states in a way that defines a trellis with fer states. The new technique generalizes trellises that re previously obtained by Duel-Hallen and Heegard (1989) and Eyouboglu and Qureshi (1988). While the approach follod by Duel-Hallen results in pors of two-state trellises, the new technique generates trellises with an arbitrary number of states. Using the state partitioning approach one could also generalize the trellises obtained by Eyouboglu. Therefore, the approach described in this paper provides a better performance/complexity tradeoff."}]