Edward T. Nykaza, Ph.D.

Affiliations: 
2013 Engineering Pennsylvania State University, State College, PA, United States 
Area:
Acoustics Physics
Google:
"Edward Nykaza"

Parents

Sign in to add mentor
Anthony A. Atchley grad student 2013 Penn State
 (A hybrid geostatistical-acoustical model for estimating single-event noise levels from noise monitor data.)
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Hart CR, Nykaza ET, White MJ. (2018) Acoustic inversion for Monin-Obukhov similarity parameters from wind noise in a convective boundary layer. The Journal of the Acoustical Society of America. 144: 1258
Rathsam J, Hayward ME, Gille L, et al. (2018) Multilevel analysis of recent noise social survey data including noise sensitivity The Journal of the Acoustical Society of America. 143: 1937-1937
Wilson DK, Hart CR, Pettit CL, et al. (2018) Automatic target recognition with uncertain scattered signal distributions The Journal of the Acoustical Society of America. 143: 1759-1759
Nykaza ET, Blevins MG. (2018) Machine learning for spatial interpolation of noise monitor levels The Journal of the Acoustical Society of America. 143: 1716-1716
Wilson DK, Pettit CL, Wayant NM, et al. (2017) Multilevel modeling and regression of community annoyance to transportation noise. The Journal of the Acoustical Society of America. 142: 2905
Wayant N, Nykaza ET. (2017) Effect of noise dose bin-width on dose-response curves. The Journal of the Acoustical Society of America. 142: EL332
Blevins MG, Nykaza ET, Nick WM. (2017) Active learning for acoustic classification The Journal of the Acoustical Society of America. 142: 2620-2620
Nykaza ET. (2017) Spatial interpolation of noise monitor levels The Journal of the Acoustical Society of America. 142: 2514-2514
White MJ, Nykaza ET, Hulva A. (2017) Localization and source assignment of blast noises from a military training installation The Journal of the Acoustical Society of America. 141: 3985-3985
Wilkinson B, Ellison C, Nykaza ET, et al. (2017) Deep learning for unsupervised separation of environmental noise sources The Journal of the Acoustical Society of America. 141: 3964-3964
See more...