activity
20182021
most citedApproximation of stationary processes and Toeplitz Spectra

2 citations · 2 across the 2 of their papers we have counts for

collaborators

7 papers

math.NA2021

A Fast Robust Numerical Continuation Solver to a Two-Dimensional Spectral Estimation Problem

Bin Zhu, Jiahao Liu

This paper presents a fast algorithm to solve a spectral estimation problem for two-dimensional random fields. The latter is formulated as a convex optimization problem with the It…

math.PR20202 cited

Approximation of stationary processes and Toeplitz Spectra

Giorgio Picci, Bin Zhu

We study the approximation of stationary processes by a simple class of purely deterministic signals. This has an analytic counterpart in the approximation of symmetric positive de…

eess.SP2019

An Empirical Bayes Approach to Frequency Estimation

Giorgio Picci, Bin Zhu

In this paper we show that the classical problem of frequency estimation can be formulated and solved efficiently in an empirical Bayesian framework by assigning a uniform a priori…

eess.SP2019

Fusion of Sensors Data in Automotive Radar Systems: A Spectral Estimation Approach

Bin Zhu, Augusto Ferrante, Johan Karlsson +1

To accurately estimate locations and velocities of surrounding targets (cars) is crucial for advanced driver assistance systems based on radar sensors. In this paper we derive meth…

math.OC2019

M-Spectral Estimation: A Relative Entropy Approach

Bin Zhu, Augusto Ferrante, Johan Karlsson +1

This paper deals with M-signals, namely multivariate (or vector-valued) signals defined over a multidimensional domain. In particular, we propose an optimization technique to s…

math.OC2018

On the Uniqueness Result of Theorem 6 in "Relative Entropy and the Multivariable Multidimensional Moment Problem"

Bin Zhu

Matrix-valued covariance extension and multivariate spectral estimation are formulated as generalized moment problems in the "THREE" approach and its extensions. Under this context…