In this work, we present a family of vector quantization schemes vqSGD (Vector-Quantized
Stochastic Gradient Descent) that provide an asymptotic reduction in the communication …

This dissertation discusses uncertainty quantification as posed in the Data Collaboration
framework. Data Collaboration is a methodology for combining experimental data and …

In this work, we present a family of vector quantization schemes vqSGD (Vector-Quantized
Stochastic Gradient Descent) that provide an asymptotic reduction in the communication …

Independent component analysis (ICA), an efficient higher order statistics (HOS) based blind
source separation technique, has been successfully applied in various fields. In this paper …

Emerging metasurface antenna technology enables flexible and low cost massive multiple-
input multiple-output (MIMO) millimeter-wave (mmW) imaging for applications such as …

Latin hypercube designs is a class of experimental designs that is important when computer
simulations are needed to study a physical process. In this paper, we proposed some …

Two Infinite Families of Symmetric Hadamard Matrices Page 1 Two Infinite Families of
Symmetric Hadamard Matrices Jennifer Seberry ∗ and NA Balonin † September 11, 2017 …

We propose a non-redundant linear precoding scheme and three peak-to-average power
ratio (PAPR) reduction schemes for multiple-input multiple-output (MIMO) orthogonal …

We apply computational algebra methods to the construction of Hadamard matrices with two
circulant cores, given by Fletcher, Gysin and Seberry. We introduce the concept of …

We investigate how Legendre G‐array pairs are related to several different perfect binary G‐
array families. In particular we study the relations between Legendre G‐array pairs …