Frank Kragh - researchr alias

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Viewing Publication 1 - 12 from 12

2021

Channel Prediction and Transmitter Authentication With Adversarially-Trained Recurrent Neural NetworksKen St. Germain, Frank Kragh. ojcs, 2:964-974, 2021. [doi]

Mobile Physical-Layer Authentication Using Channel State Information and Conditional Recurrent Neural NetworksKen St. Germain, Frank Kragh. vtc 2021: 1-6 [doi]

Multi-subcarrier Physical Layer Authentication Using Channel State Information and Deep LearningKen St. Germain, Frank Kragh. hicss 2021: 1-10 [doi]

2020

Multi-Transmitter Physical Layer Authentication Using Channel State Information and Deep LearningKen St. Germain, Frank Kragh. icspcs 2020: 1-8 [doi]

Physical-Layer Authentication Using Channel State Information and Machine LearningKen St. Germain, Frank Kragh. icspcs 2020: 1-8 [doi]

2018

A Noise-Masking Physical Layer Security Technique for MIMO Communications SystemsRobert Sellin, Frank Kragh. milcom 2018: 536-540 [doi]

2011

Performance analysis and simulations of 32-ary cyclic code-shift keyingChi-Han Kao, Clark Robertson, Frank Kragh, Kyle Lin. ijcomsys, 24(2):258-268, 2011. [doi]

2009

Open-source SCA-based core framework and rapid development tools enable software-defined radio education and researchCarlos Aguayo Gonzalez, Carl B. Dietrich, Shereef Sayed, Haris Volos, Joseph D. Gaeddert, Max Robert, Jeffrey H. Reed, Frank Kragh. cm, 47(10):48-55, 2009. [doi]

Maximum a Posteriori Bit-UnstuffingJames E. Hicks, Tim Meehan, Frank Kragh. icc 2009: 1-6 [doi]

2008

A Novel Approach to the Analysis of Diversity Receivers Corrupted by Partial-Band Noise InterferenceFrank Kragh, Clark Robertson. tcom, 56(8):1221-1224, 2008. [doi]

2007

Detection of Frequency-Hopped Waveforms Embedded in Interference Waveforms with NoiseJohn Weber, Kyle Kowalske, Clark Robertson, Frank Kragh, Christopher Brown. icc 2007: 2973-2978 [doi]

2006

Maximum Likelihood Sequence Detection of a Bit-stuffed Data SourceTim Meehan, James E. Hicks, Frank Kragh. icc 2006: 1514-1519 [doi]

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