Harmonic Retrieval from Coarsely Quantized Measurements.
ACSCC(2021)
摘要
We consider the problem of harmonic retrieval from coarsely quantized measurements. We formulate the sinusoidal parameter estimation problem into a sparse parameter estimation problem by adding an l
q
-norm (0 < q ≤ 1) based penalty term to the negative log-likelihood function. A user parameter-free algorithm is devised to solve the problem efficiently by using the cyclic optimization and majorization-minimization (MM) techniques. Numerical examples are provided to demonstrate the estimation performance of the proposed algorithm.
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关键词
Harmonic retrieval,coarsely quantized measurements,sparse parameter estimation,majorization-minimization (MM)
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