A Spectral Method for Stable Bispectrum Inversion With Application to Multireference Alignment.
IEEE Signal Processing Letters(2018)
摘要
We focus on an alignment-free method to estimate the underlying signal from a large number of noisy randomly shifted observations. Specifically, we estimate the mean, power spectrum, and bispectrum of the signal from the observations. Since the bispectrum contains the phase information of the signal, reliable algorithms for bispectrum inversion are useful in many applications. We propose a new alg...
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关键词
Eigenvalues and eigenfunctions,Signal processing algorithms,Noise measurement,Estimation,Discrete Fourier transforms,Robustness,Computational complexity
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