Zobrazeno 1 - 10
of 321
pro vyhledávání: '"West, Nathan"'
Autor:
Bhattacharjea, Rajib, West, Nathan
This work presents the first applications of self-supervised learning applied to data from digital antenna arrays. Encoder-decoder networks are pretrained on digital array data to perform a self-supervised noisy-reconstruction task called channel in-
Externí odkaz:
http://arxiv.org/abs/2307.03327
Publikováno v:
IEEE Asilomar 2021
Signal localization is a spectrum sensing problem that jointly detects the presence of a signal and estimates a center frequency and bandwidth. This is a step beyond most spectrum sensing work which estimates "present" or "not present" detections for
Externí odkaz:
http://arxiv.org/abs/2110.00583
Publikováno v:
IEEE SPAWC 2021
Signal recognition is a spectrum sensing problem that jointly requires detection, localization in time and frequency, and classification. This is a step beyond most spectrum sensing work which involves signal detection to estimate "present" or "not p
Externí odkaz:
http://arxiv.org/abs/2110.00518
Autor:
Abe-Jones, Yumiko, Adkisson, Michael, Ansel, K. Mark, Asthana, Saurabh, Beagle, Alexander, Bhide, Sharvari, Cai, Cathy, Caldera, Saharai, Calvo, Maria, Carrillo, Sidney A., Chak, Suzanna, Christenson, Stephanie, Collins, Zachary, Darmanis, Spyros, Detweiler, Angela, DeVoe, Catherine, Eckalbar, Walter, Giberson, Jeremy, Gonzalez, Ana, Gordon, Gracie, Serpa, Paula Hayakawa, Jauregui, Alejandra, Jones, Chayse, Ke, Serena, Kushnoor, Divya, Lea, Tasha, Lee, Deanna, Leligdowicz, Aleksandra, Liu, Yale, Mahboob, Salman, Maliskova, Lenka, Matthay, Michael, McCarthy, Elizabeth, Muñoz-Sandoval, Priscila, Neff, Norma, Nguyen, Viet, Nigam, Nishita, Parada, Randy, Phelps, Maira, Pierce, Logan, Prasad, Priya, Rashid, Sadeed, Reeder, Gabriella, Rodriguez, Nicklaus, Samad, Bushra, Schroeder, Andrew, Shaw, Cole, Shen, Alan, Sigman, Austin, Sinha, Pratik, Spitzer, Matthew, Sunshine, Sara, Tang, Kevin, Altamirano, Luz Torres, Tsitsiklis, Alexandra, Tumurbaatar, Erden, Upadhyay, Vaibhav, Whatley, Alexander, Willmore, Andrew, Wilson, Michael, Winkler, Juliane, Wong, Kristine, Yee, Kimberly, Yu, Michelle, Zhou, Mingyue, Zhu, Wandi S., Hackney, Jason A., Shivram, Haridha, Vander Heiden, Jason, Overall, Chris, Orozco, Luz, Gao, Xia, Kim, Eugene, West, Nathan, Qamra, Aditi, Chang, Diana, Chakrabarti, Arindam, Choy, David F., Combes, Alexis J., Courau, Tristan, Fragiadakis, Gabriela K., Rao, Arjun Arkal, Ray, Arja, Tsui, Jessica, Hu, Kenneth, Kuhn, Nicholas F., Krummel, Matthew F., Erle, David J., Kangelaris, Kirsten, Sarma, Aartik, Lyon, Zoe, Calfee, Carolyn S., Woodruff, Prescott G., Ghale, Rajani, Mick, Eran, Byrne, Ashley, Zha, Beth Shoshana, Langelier, Charles, Hendrickson, Carolyn M., van der Wijst, Monique G.P., Hartoularos, George C., Grant, Tianna, Bueno, Raymund, Lee, David S., Greenland, John R., Sun, Yang, Perez, Richard, Ogorodnikov, Anton, Ward, Alyssa, Ye, Chun Jimmie, Ramalingam, Thiru, McBride, Jacqueline M., Cai, Fang, Teterina, Anastasia, Bao, Min, Tsai, Larry, Rosas, Ivan O., Regev, Aviv, Kapadia, Sharookh B., Bauer, Rebecca N., Rosenberger, Carrie M.
Publikováno v:
In iScience 20 October 2023 26(10)
Akademický článek
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Channel modeling is a critical topic when considering designing, learning, or evaluating the performance of any communications system. Most prior work in designing or learning new modulation schemes has focused on using highly simplified analytic cha
Externí odkaz:
http://arxiv.org/abs/1805.06350
This paper presents a novel method for synthesizing new physical layer modulation and coding schemes for communications systems using a learning-based approach which does not require an analytic model of the impairments in the channel. It extends pri
Externí odkaz:
http://arxiv.org/abs/1803.03145
Autor:
Harmon, Brook E., San Diego, Emily Rose N., Pichon, Latrice C., Powell, Terrinieka W., Rugless, Fedoria, West, Nathan T., Minor, Lottie, McNeal, Sterling, McCann, Lauren, Hales, Lauren S., Davis, Rachel, Lewis, Jonathan
Publikováno v:
In Evaluation and Program Planning October 2022 94
Autor:
Harmon, Brook E.1 harmonbe1@appstate.edu, West, Nathan T.2, Webb, Benjamin L.3, Johnson, Brandi M.4, Smith, Stacy5
Publikováno v:
Journal of Religion & Health. Aug2023, Vol. 62 Issue 4, p2627-2637. 11p. 2 Charts.
Autor:
West, Nathan E, O'Shea, Timothy J.
We survey the latest advances in machine learning with deep neural networks by applying them to the task of radio modulation recognition. Results show that radio modulation recognition is not limited by network depth and further work should focus on
Externí odkaz:
http://arxiv.org/abs/1703.09197