In the past ten years, there have been tremendous research progresses on massive MIMO
systems, most of which stand from the communications viewpoint. A new trend to investigate …

We propose a fast sequential algorithm for the fundamental problem of estimating
frequencies and amplitudes of a noisy mixture of sinusoids. The algorithm is a natural …

Conventional compressed sensing theory assumes signals have sparse representations in
a known dictionary. Nevertheless, in many practical applications such as line spectral …

In this paper, we design an uplink/downlink channel estimation method for millimeter wave
(mmWave) massive multiple-input multiple-output (MIMO) systems and investigate the …

We address the fundamental problem of line spectral estimation in a Bayesian framework.
We target model order and parameter estimation via variational inference in a probabilistic …

A number of recent works have proposed to solve the line spectral estimation problem by
applying off-the-grid extensions of sparse estimation techniques. These methods are …

Ultrasonic fatigue tests (UFT) are used to study the fatigue life behavior of metallic
components undergoing a very high number of cycles (typically≥ 1 0 7− 1 0 9 cycles) under …

In this paper, the novel extended space-alternating generalized expectation-maximization
(SAGE) algorithm, providing joint propagation channel multi-path component (MPC) …

We present a factor graph formulation and particle-based sum-product algorithm for robust
localization and tracking in multipath-prone environments. The proposed sequential …

Line spectral estimation (LSE) with multiple measurement vector (MMV) is studied utilizing
the Bayesian variational inference. Motivated by the recent grid-less variational line spectral …