Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  considers random-coding bounds to the decoding error probability with threshold decoders. A slightly improved version of the dependence-testing bound is derived. A loosening of this bound generates a family of Feinstein-like bounds, which improve on Feinstein's original version. The error exponents of these bounds are determined and simple, yet accurate, saddlepoint approximations to the corresponding error probabilities are derived.
['Alfonso Martinez', 'Albert Guillen i Fabregas']
I am writing a research paper on a idea Random-coding bounds for threshold decoders: Error exponent and saddlepoint approximation
[{"from": "human", "value": "I am writing a research paper on a idea Random-coding bounds for threshold decoders: Error exponent and saddlepoint approximation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  considers random-coding bounds to the decoding error probability with threshold decoders. A slightly improved version of the dependence-testing bound is derived. A loosening of this bound generates a family of Feinstein-like bounds, which improve on Feinstein's original version. The error exponents of these bounds are determined and simple, yet accurate, saddlepoint approximations to the corresponding error probabilities are derived."}]