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ORCIDJonathan M. Nichols
Person information
- affiliation: Naval Research Laboratory, Washington, D.C., USA
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Journal Articles
- 2021
[j17]Mohammad Shifat-E.-Rabbi
, Xuwang Yin, Abu Hasnat Mohammad Rubaiyat, Shiying Li, Soheil Kolouri, Akram Aldroubi, Jonathan M. Nichols, Gustavo K. Rohde:
Radon Cumulative Distribution Transform Subspace Modeling for Image Classification. J. Math. Imaging Vis. 63(9): 1185-1203 (2021)- 2020
- [j16]Tegan H. Emerson, Jonathan M. Nichols:
Fitting local, low-dimensional parameterizations of optical turbulence modeled from optimal transport velocity vectors. Pattern Recognit. Lett. 133: 123-128 (2020) - [j15]Abu Hasnat Mohammad Rubaiyat, Kyla M. Hallam, Jonathan M. Nichols, Meredith N. Hutchinson, Shiying Li, Gustavo K. Rohde:
Parametric Signal Estimation Using the Cumulative Distribution Transform. IEEE Trans. Signal Process. 68: 3312-3324 (2020) - 2019
- [j14]Jonathan M. Nichols, Meredith N. Hutchinson, Nicole Menkart, Geoff A. Cranch, Gustavo Kunde Rohde:
Time Delay Estimation Via Wasserstein Distance Minimization. IEEE Signal Process. Lett. 26(6): 908-912 (2019) - 2018
- [j13]Colin C. Olson, K. Peter Judd, Jonathan M. Nichols:
Manifold learning techniques for unsupervised anomaly detection. Expert Syst. Appl. 91: 374-385 (2018) - 2017
- [j12]Laurens E. Howle, Paul W. Weber, Jonathan M. Nichols:
Bayesian approach to decompression sickness model parameter estimation. Comput. Biol. Medicine 82: 3-11 (2017) - [j11]Jonathan M. Nichols, Joseph V. Michalowicz:
Distance distribution between nodes in a 3D wireless network. J. Parallel Distributed Comput. 102: 71-79 (2017) - [j10]Jonathan M. Nichols:
An Improved GLRT for Image-Based Point Source Detection and Estimation. IEEE Trans. Aerosp. Electron. Syst. 53(3): 1536-1544 (2017) - 2014
- [j9]Gustavo K. Rohde, Frank Bucholtz, Jonathan M. Nichols:
Maximum empirical likelihood estimation of time delay in independently and identically distributed noise. IET Signal Process. 8(7): 720-728 (2014) - [j8]Jonathan M. Nichols, Albert K. Oh, Rebecca M. Willett:
Reducing Basis Mismatch in Harmonic Signal Recovery via Alternating Convex Search. IEEE Signal Process. Lett. 21(8): 1007-1011 (2014) - 2013
- [j7]Jonathan M. Nichols, Frank Bucholtz, Joseph V. Michalowicz:
Linearized Transfer Entropy for Continuous Second Order Systems. Entropy 15(8): 3186-3204 (2013) - 2011
- [j6]Jon M. Nichols, Frank Bucholtz, Bryan Nousain:
Automated, rapid classification of signals using locally linear embedding. Expert Syst. Appl. 38(10): 13472-13474 (2011) - [j5]Colin C. Olson, Jonathan M. Nichols, M. D. Todd, Joseph V. Michalowicz, Frank Bucholtz:
Coupling Evolutionary Algorithms With Nonlinear Dynamical Systems: An Efficient Tool for Excitation Design and Optimization. IEEE Trans. Evol. Comput. 15(4): 437-443 (2011) - 2009
- [j4]Joseph V. Michalowicz, Colin C. Olson, Frank Bucholtz, Jonathan M. Nichols:
Calculation of Entropy for a Sinusoid with Beta-Distributed Phase. Entropy 11(4): 949-958 (2009) - [j3]Jonathan M. Nichols:
Frequency Distortion of Second- and Third-Order Phase-Locked Loop Systems Using a Volterra-Series Approximation. IEEE Trans. Circuits Syst. I Regul. Pap. 56-I(2): 453-459 (2009) - [j2]Jonathan M. Nichols, Colin C. Olson, Joseph V. Michalowicz, Frank Bucholtz:
The bispectrum and bicoherence for quadratically nonlinear systems subject to non-Gaussian inputs. IEEE Trans. Signal Process. 57(10): 3879-3890 (2009) - 2008
- [j1]Joseph V. Michalowicz, Jonathan M. Nichols, Frank Bucholtz:
Calculation of Differential Entropy for a Mixed Gaussian Distribution. Entropy 10(3): 200-206 (2008)
Conference and Workshop Papers
- 2009
- [c1]Colin C. Olson, Jon M. Nichols, Joseph V. Michalowicz, Frank Bucholtz:
A method for testing driven dynamical systems with evolved excitations and its application to phase-locked loops. IEEE Congress on Evolutionary Computation 2009: 1217-1223
Parts in Books or Collections
- 2011
- [p1]Linda J. Moniz, James D. Nichols, Jonathan M. Nichols, Evan G. Cooch, Louis M. Pecora:
Inferences About Coupling from Ecological Surveillance Monitoring: Approaches Based on Nonlinear Dynamics and Information Theory. Towards an Information Theory of Complex Networks 2011: 169-198
Informal and Other Publications
- 2023
- [i2]Abu Hasnat Mohammad Rubaiyat, Duy H. Thai, Jonathan M. Nichols, Meredith N. Hutchinson, Samuel P. Wallen, Christina J. Naify, Nathan Geib, Michael R. Haberman, Gustavo K. Rohde:
System Identification Using the Signed Cumulative Distribution Transform In Structural Health Monitoring Applications. CoRR abs/2308.12259 (2023) - 2020
- [i1]Mohammad Shifat-E.-Rabbi, Xuwang Yin, Abu Hasnat Mohammad Rubaiyat, Shiying Li, Soheil Kolouri, Akram Aldroubi, Jonathan M. Nichols, Gustavo K. Rohde:
Radon cumulative distribution transform subspace modeling for image classification. CoRR abs/2004.03669 (2020)
Coauthor Index
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