activity
20222025
most citedWaveMax: Radar Waveform Design via Convex Maximization of FrFT Phase Retrieval

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

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…

cs.IT2023

Factor Graph Processing for Dual-Blind Deconvolution at ISAC Receiver

Roman Jacome, Edwin Vargas, Kumar Vijay Mishra +2

Integrated sensing and communications (ISAC) systems have gained significant interest because of their ability to jointly and efficiently access, utilize, and manage the scarce ele…

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…

cs.LG2022

Communication-Efficient {Federated} Learning Using Censored Heavy Ball Descent

Yicheng Chen, Rick S. Blum, Brian M. Sadler

Distributed machine learning enables scalability and computational offloading, but requires significant levels of communication. Consequently, communication efficiency in distribut…