61 citations · 198 across the 16 of their papers we have counts for
4 papers · 1 filter
Learning the Number of Autoregressive Mixtures in Time Series Using the Gap Statistics
Jie Ding, Mohammad Noshad, Vahid Tarokh
Using a proper model to characterize a time series is crucial in making accurate predictions. In this work we use time-varying autoregressive process (TVAR) to describe non-station…
Capacity of Hexagonal Checkerboard Codes
Zhun Deng, Jie Ding, Mohammad Noshad +1
In this paper, we propose a new method to bound the capacity of checkerboard codes on the hexagonal lattice. This produces rigorous bounds that are tighter than those commonly know…
Complementary Lattice Arrays for Coded Aperture Imaging
Jie Ding, Mohammad Noshad, Vahid Tarokh
In this work, we consider complementary lattice arrays in order to enable a broader range of designs for coded aperture imaging systems. We provide a general framework and methods…
Data-Driven Learning of the Number of States in Multi-State Autoregressive Models
Jie Ding, Mohammad Noshad, Vahid Tarokh
In this work, we consider the class of multi-state autoregressive processes that can be used to model non-stationary time-series of interest. In order to capture different autoregr…