Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The Boolean multireference alignment problem consists in recovering a Boolean signal from multiple shifted and noisy observations.   obtain an expression for the error exponent of the maximum A posteriori decoder. This expression is used to characterize the number of measurements needed for signal recovery in the low SNR regime, in terms of higher order autocorrelations of the signal. The characterization is explicit for various signal dimensions, such as prime and even dimensions.
['Emmanuel Abbe', 'João Francisco do Valle Pereira', 'Amit Singer']
I am writing a research paper on a idea Sample Complexity of the Boolean Multireference Alignment Problem
[{"from": "human", "value": "I am writing a research paper on a idea Sample Complexity of the Boolean Multireference Alignment Problem"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The Boolean multireference alignment problem consists in recovering a Boolean signal from multiple shifted and noisy observations.   obtain an expression for the error exponent of the maximum A posteriori decoder. This expression is used to characterize the number of measurements needed for signal recovery in the low SNR regime, in terms of higher order autocorrelations of the signal. The characterization is explicit for various signal dimensions, such as prime and even dimensions."}]