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Hing-Cheung So

6 accepted papers

2016

Accurate asymptotic analysis for John's test in multichannel signal detection

ICASSP 2016accepted

John's test, which is also known as the locally most invariant test for sphericity of Gaussian variables, is one of the most frequently used methods in multichannel signal detection. The application of John's test requires closed-form and accurate formula to set threshold according to a prescribed f…

Cited by 0SourceScholar
2016

Iteratively reweighted tensor SVD for robust multi-dimensional harmonic retrieval

ICASSP 2016accepted

In this paper, parameter estimation for multi-dimensional sinusoids in additive impulsive noise is addressed. Our underlying idea is to minimize the ℓ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</sub> -norm of the residual error tensor, where 1 <;…

Cited by 0SourceScholar
2016

Least squares phase retrieval using feasible point pursuit

ICASSP 2016accepted

Phase retrieval has recently attracted renewed interest. It is revisited here through a new approach based on nonconvex quadratically constrained quadratic programming (QCQP). A least-squares (LS) formulation is adopted, and a recently developed non-convex QCQP approximation technique called feasibl…

Cited by 0SourceScholar
2016

Sparse recovery of multiple measurement vectors in impulsive noise: A smooth block successive minimization algorithm

ICASSP 2016accepted

This paper considers the sparse recovery problem of multiple measurement vector (MMV) model corrupted in impulsive noise. To ensure outlier-robust sparse recovery, we formulate an MMV problem that includes the generalized ℓ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.…

Cited by 0SourceScholar
2015

Joint direction-of-arrival and frequency estimation without source enumeration

ICASSP 2015accepted

Joint estimation of the directions-of-arrival (DOAs) and frequencies of multiple signals is addressed in this paper. By constructing a set of joint diagonalization matrices, two cost functions that do not require a priori information of the source number are devised for DOA and frequency estimation…

Cited by 0SourceScholar