Jonathan M. Nichols

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 10

Top Topics

Beta Distribution

Unsupervised Anomaly Detection

Manifold Learning

Independently And Identically Distributed

Top Venues

IEEE Signal Process. Lett.

J. Math. Imaging Vis.

IEEE Trans. Signal Process.

Publications

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 (2023)
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) (2021)
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 (2020)
Tegan H. Emerson, Jonathan M. Nichols
Fitting local, low-dimensional parameterizations of optical turbulence modeled from optimal transport velocity vectors. Pattern Recognit. Lett. 133 (2020)
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 (2020)
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) (2019)
Colin C. Olson, K. Peter Judd, Jonathan M. Nichols
Manifold learning techniques for unsupervised anomaly detection. Expert Syst. Appl. 91 (2018)
Jonathan M. Nichols, Joseph V. Michalowicz
Distance distribution between nodes in a 3D wireless network. J. Parallel Distributed Comput. 102 (2017)
Jonathan M. Nichols
An Improved GLRT for Image-Based Point Source Detection and Estimation. IEEE Trans. Aerosp. Electron. Syst. 53 (3) (2017)
Laurens E. Howle, Paul W. Weber, Jonathan M. Nichols
Bayesian approach to decompression sickness model parameter estimation. Comput. Biol. Medicine 82 (2017)
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) (2014)
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) (2014)
Jonathan M. Nichols, Frank Bucholtz, Joseph V. Michalowicz
Linearized Transfer Entropy for Continuous Second Order Systems. Entropy 15 (8) (2013)
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) (2011)
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. (2) (2009)
Joseph V. Michalowicz, Colin C. Olson, Frank Bucholtz, Jonathan M. Nichols
Calculation of Entropy for a Sinusoid with Beta-Distributed Phase. Entropy 11 (4) (2009)
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) (2009)
Joseph V. Michalowicz, Jonathan M. Nichols, Frank Bucholtz
Calculation of Differential Entropy for a Mixed Gaussian Distribution. Entropy 10 (3) (2008)