6 accepted papers
This paper focuses on the problem of three-dimensional (3D) frequency retrieval from a set of time samples. The assumption made in this study is that the signal being analyzed consists of K continuous-valued 3D complex sinusoidal signals. The main objective is to identify all frequency components wh…
Unimodular sequences have been widely used in communications and radars, for which some numerical algorithms have been proposed recently to obtain good autocorrelation properties [1,2]. Design of such "good" sequences, however, does not take into account any prior information of the channel to be es…
The problem of estimating sparse eigenvectors of a symmetric matrix attracts a lot of attention in many applications, especially those with high dimensional data set. While classical eigenvectors can be obtained as the solution of a maximization problem, existing approaches formulated this problem b…
Sequences with low aperiodic autocorrelation sidelobes are well-known to have extensive applications in active sensing and communication systems. In this paper, we consider the sequence design problem of minimizing the ℓp-norm of the autocorrelation side-lobes, which can then be used to minimize the…
Unimodular sequences with low autocorrelations are desired in many applications, especially in the area of radar and code-division multiple access (CDMA). In this paper, we propose a new algorithm to design unimodular sequences with low integrated sidelobe level (ISL), which is a widely used measure…
In this paper, we consider the robust covariance estimation problem in the non-Gaussian set-up. In particular, Tyler's M-estimator is adopted for samples drawn from a heavy-tailed elliptical distribution. For some applications, the covariance matrix naturally possesses certain structure. Therefore,…