Solving Systems of Random Quadratic Equations via Truncated Amplitude Flow.

IEEE Transactions on Information Theory(2018)

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摘要
This paper presents a new algorithm, termed truncated amplitude flow (TAF), to recover an unknown vector x from a system of quadratic equations of the form yi = |〈ai, x〉|2, where ai's are given random measurement vectors. This problem is known to be NP-hard in general. We prove that as soon as the number of equations is on the order of the number of unknowns, TAF recovers the solution exactly (up ...
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关键词
Cost function,Noise measurement,Mathematical model,Complexity theory,Linear programming,Fourier transforms
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