Search Results for author: Matthew R. McKay

Found 5 papers, 0 papers with code

Hypothesis Test Procedures for Detecting Leakage Signals in Water Pipeline Channels

no code implementations24 Oct 2022 Liusha Yang, Matthew R. McKay, Xun Wang

We design statistical hypothesis tests for performing leak detection in water pipeline channels.

Channel Estimation for Large Intelligent Surface Aided MISO Communications: From LMMSE to Deep Learning Solutions

no code implementations14 Nov 2020 Neel Kanth Kundu, Matthew R. McKay

The optimal channel estimator, based on the minimum mean-squared-error (MMSE) criterion, is challenging to obtain and is non-linear due to the non-Gaussianity of the effective channel seen at the receiver.

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Large Intelligent Surfaces with Channel Estimation Overhead: Achievable Rate and Optimal Configuration

no code implementations22 Aug 2020 Neel Kanth Kundu, Matthew R. McKay

Large intelligent surfaces (LIS) present a promising new technology for enhancing the performance of wireless communication systems.

RIS-Assisted MISO Communication: Optimal Beamformers and Performance Analysis

no code implementations16 Jul 2020 Neel Kanth Kundu, Matthew R. McKay

We study a multiple-input single-output (MISO) communication system assisted by a reconfigurable intelligent surface (RIS).

Large Dimensional Analysis of Robust M-Estimators of Covariance with Outliers

no code implementations4 Mar 2015 David Morales-Jimenez, Romain Couillet, Matthew R. McKay

A large dimensional characterization of robust M-estimators of covariance (or scatter) is provided under the assumption that the dataset comprises independent (essentially Gaussian) legitimate samples as well as arbitrary deterministic samples, referred to as outliers.

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