Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The problem of multiple sensors simultaneously acquiring measurements of a single object can be found in many applications. ,  present the optimal recovery guarantees for the recovery of compressible signals from multi-sensor measurements using compressed sensing. In the first half of the paper,  present both uniform and nonuniform recovery guarantees for the conventional sparse signal model in a so-called distinct sensing scenario. In the second half, using the so-called sparse and distributed signal model,  present nonuniform recovery guarantees which effectively broaden the class of sensing scenarios for which optimal recovery is possible, including to the so-called identical sampling scenario. To verify our recovery guarantees  provide several numerical results including phase transition curves and numerically-computed bounds.
['Il Yong Chun', 'Chen Li', 'Ben Adcock']
I am writing a research paper on a idea Sparsity and parallel acquisition: Optimal uniform and nonuniform recovery guarantees
[{"from": "human", "value": "I am writing a research paper on a idea Sparsity and parallel acquisition: Optimal uniform and nonuniform recovery guarantees"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The problem of multiple sensors simultaneously acquiring measurements of a single object can be found in many applications. ,  present the optimal recovery guarantees for the recovery of compressible signals from multi-sensor measurements using compressed sensing. In the first half of the paper,  present both uniform and nonuniform recovery guarantees for the conventional sparse signal model in a so-called distinct sensing scenario. In the second half, using the so-called sparse and distributed signal model,  present nonuniform recovery guarantees which effectively broaden the class of sensing scenarios for which optimal recovery is possible, including to the so-called identical sampling scenario. To verify our recovery guarantees  provide several numerical results including phase transition curves and numerically-computed bounds."}]