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20162026
most citedAn Invitation to Hypercomplex Phase Retrieval: Theory and Applications

1 citations · 3 across the 9 of their papers we have counts for

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eess.SP2026

Hypercomplex Phase Retrieval

Kumar Vijay Mishra, Henry Arguello, Brian M. Sadler

Hypercomplex signal processing (HSP) offers powerful tools for analyzing and processing multidimensional signals by explicitly exploiting inter-dimensional correlations through Cli…

eess.SP2025★ 1 cited

WaveMax: Radar Waveform Design via Convex Maximization of FrFT Phase Retrieval

Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler

The ambiguity function (AF) is a critical tool in radar waveform design, representing the two-dimensional correlation between a transmitted signal and its time-delayed, frequency-s…

eess.SP2023

Index-Modulated Metasurface Transceiver Design using Reconfigurable Intelligent Surfaces for 6G Wireless Networks

JohnA. Hodge, Kumar Vijay Mishra, Brian M. Sadler +1

Higher spectral and energy efficiencies are the envisioned defining characteristics of high data-rate sixth-generation (6G) wireless networks. One of the enabling technologies to m…

eess.SP2023★ 1 cited

An Invitation to Hypercomplex Phase Retrieval: Theory and Applications

Roman Jacome, Kumar Vijay Mishra, Brian M. Sadler +1

Hypercomplex signal processing (HSP) provides state-of-the-art tools to handle multidimensional signals by harnessing intrinsic correlation of the signal dimensions through Cliffor…

eess.SP2023

RIS-Aided Wideband Holographic DFRC

Tong Wei, Linlong Wu, Kumar Vijay Mishra +1

To enable non-line-of-sight (NLoS) sensing and communications, dual-function radar-communications (DFRC) systems have recently proposed employing reconfigurable intelligent surface…