Jonathan M. Nichols

发表

Novel nonlinear feature identification in vibration-based damage detection using local attractor variance

Michael D. Todd, Jonathan M. Nichols, L. M. Pecora, 2001 .

An optimal nonlinear filter for detecting non-normality in a signal using the bicoherence

Jonathan M. Nichols, C. C. Olson, J. V. Michalowicz, 2009, Defense + Commercial Sensing.

Modeling and measurement of accuracy/distortion in an operationally passive FBG demodulation technique

Michael D. Todd, Jonathan M. Nichols, Frank Bucholtz, 2006, SPIE Optics East.

Optimized sensor placement for damage parameter estimation: Experimental results for a cracked plate

Jonathan M. Nichols, Kevin D. Murphy, Edward Z. Moore, 2013 .

Health monitoring of an aeroelastic system with a freeplay nonlinearity

Jonathan M. Nichols, Mark Seaver, Stephen T. Trickey, 2004, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Measuring the Average Thickness of a Plate Using a Bayesian Method and Free Vibration Data

Jonathan M. Nichols, Kevin D. Murphy, Edward Z. Moore, 2011 .

Calculation of Entropy for a Sinusoid with Beta-Distributed Phase

Jonathan M. Nichols, Colin C. Olson, Frank Bucholtz, 2009, Entropy.

Development and Application of Chaotic Attractor Property Analysis for Vibration‐Based Structural Damage Assessment

Michael D. Todd, Jonathan M. Nichols, L. M. Pecora, 2003 .

An assessment of modal property effectiveness in detecting bolted joint degradation: theory and experiment

Michael D. Todd, Jonathan M. Nichols, Lawrence N. Virgin, 2004 .

An Improved GLRT for Image-Based Point Source Detection and Estimation

Jonathan M. Nichols, J. Nichols, 2017, IEEE Transactions on Aerospace and Electronic Systems.

Distance distribution between nodes in a 3D wireless network

Jonathan M. Nichols, Joseph V. Michalowicz, J. Michalowicz, 2017, J. Parallel Distributed Comput..

Calculation of Differential Entropy for a Mixed Gaussian Distribution

Jonathan M. Nichols, Frank Bucholtz, Joseph V. Michalowicz, 2008, Entropy.

The analytical trispectrum for multiple degree-of-freedom systems possessing cubic nonlinearity

Jonathan M. Nichols, Pier Marzocca, Attilio Milanese, 2008, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Nonlinear excitation and attractor mapping for detecting bolt preload loss in an aluminum frame

Michael D. Todd, Jonathan M. Nichols, L. Chang, 2004, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Development of higher-order spectra for randomly excited quadratic nonlinear systems: Volterra functional series approach

Jonathan M. Nichols, Piergiovanni Marzocca, Mark Seaver, 2007, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Structural Damage Assessment Using Chaotic Dynamic Interrogation

Michael D. Todd, Jonathan M. Nichols, Lawrence N. Virgin, 2002 .

The Effects of Crack Size on Crack Identification in a Freely Vibrating Plate Using Bayesian Parameter Estimation

Jonathan M. Nichols, Kevin D. Murphy, Edward Z. Moore, 2010 .

Model-based SHM: Demonstration of identification of a crack in a thin plate using free vibration data

Jonathan M. Nichols, Kevin D. Murphy, Edward Z. Moore, 2012 .

Bayesian approach to decompression sickness model parameter estimation

Laurens E. Howle, Jonathan M. Nichols, Paul W. Weber, 2017, Comput. Biol. Medicine.

Automated, rapid classification of signals using locally linear embedding

Jonathan M. Nichols, Frank Bucholtz, Bryan Nousain, 2011, Expert Syst. Appl..

A method for testing driven dynamical systems with evolved excitations and its application to phase-locked loops

Jonathan M. Nichols, Colin C. Olson, J. V. Michalowicz, 2009, 2009 IEEE Congress on Evolutionary Computation.

Analysis of accuracy error and distortion in an operationally passive interferometric demodulation technique

Michael D. Todd, Jonathan M. Nichols, Mark Seaver, 2006, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Nonlinearity detection in multiple degree-of-freedom systems using the auto-bispectral density

Jonathan M. Nichols, Pier Marzocca, Attilio Milanese, 2008, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Application of information theory methods to food web reconstruction

Jonathan M. Nichols, James D. Nichols, Evan G. Cooch, 2007 .

Excitation considerations for attractor property analysis in vibration-based damage detection

Michael D. Todd, Jonathan M. Nichols, Mark Seaver, 2003, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Basis Mismatch in a Compressively Sampled Photonic Link

Jonathan M. Nichols, Colin V. McLaughlin, Frank Bucholtz, 2013, IEEE Photonics Technology Letters.

High-performance fiber optic systems for damage detection and structural health monitoring

Michael D. Todd, Jonathan M. Nichols, L. M. Pecora, 2004, SPIE Optics East.

Improving sparse representation algorithms for maritime video processing

Jonathan M. Nichols, J. R. Waterman, C. C. Olson, 2012, Defense + Commercial Sensing.

The Feasibility of Nonlinear Dimensionality Reduction for the Rapid Analysis of Persistent Surveillance Data, including the Detection of IED Placement Activity

Jonathan M. Nichols, Michael D. Duncan, Frank Bucholtz, 2008 .

A Bayesian approach to identifying and tracking damage in structures

Jonathan M. Nichols, William A. Link, Kevin D. Murphy, 2009 .

Detecting impact damage in experimental composite structures: an information-theoretic approach

Jonathan M. Nichols, Liming W. Salvino, Mark Seaver, 2006 .

Physics‐Based Model Examples

Jonathan M. Nichols, Kevin D. Murphy, 2016 .

Identifying delamination in an experimental composite UAV wing subject to ambient gust loading

Jonathan M. Nichols, Mark Seaver, Stephen T. Trickey, 2006, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Discriminative dictionaries for automated target recognition

Jonathan M. Nichols, C. C. Olson, K. P. Judd, 2012, Defense + Commercial Sensing.

Nonlinear Features for SHM Applications

Jonathan M. Nichols, Michael D. Todd, M. Todd, 2009 .

Parametric Signal Estimation Using the Cumulative Distribution Transform

Gustavo K. Rohde, Jonathan M. Nichols, Abu Hasnat Mohammad Rubaiyat, 2020, IEEE Transactions on Signal Processing.

Automated detection of watercraft in short-wave infrared imagery

Jonathan M. Nichols, Colin C. Olson, K. P. Judd, 2013 .

Fixing basis mismatch in compressively sampled photonic link

Rebecca Willett, Jonathan M. Nichols, Colin V. McLaughlin, 2014, Sensing Technologies + Applications.

A multivariate, attractor-based approach to structural health monitoring

Michael D. Todd, Jonathan M. Nichols, L. M. Pecora, 2005 .

Denoising infrared maritime imagery using tailored dictionaries via modified K-SVD algorithm.

Jonathan M. Nichols, C. C. Olson, K. P. Judd, 2012, Applied optics.

Radon cumulative distribution transform subspace modeling for image classification pdf

Akram Aldroubi, Gustavo K. Rohde, Soheil Kolouri, 2020, ArXiv.

Intelligent Data Fusion Using Sparse Representations and Nonlinear Dimensionality Reduction

Jonathan M. Nichols, J. V. Michalowicz, Frank Bucholtz, 2009 .

Weld line degradation assessment using chaotic attractor property analysis

Michael D. Todd, Jonathan M. Nichols, Mark Seaver, 2003, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Improved Point Spread Function Engineering via Alternative Obscuration Encodings

Ravindra A. Athale, Jonathan M. Nichols, C. C. Olson, 2015 .

Decision Making in Condition-Based Maintenance

Jonathan M. Nichols, Kevin D. Murphy, 2016 .

On the Potential Use of Evolutionary Algorithms for Electro-Optic System Design

Jonathan M. Nichols, C. C. Olson, Frank Bucholtz, 2011 .

Studying Biodiversity: Is a New Paradigm Really Needed?

Jonathan M. Nichols, James D. Nichols, Evan G. Cooch, 2012 .

Compressed sensing for practical optical imaging systems: A tutorial

Roummel F. Marcia, Jonathan M. Nichols, Rebecca Willett, 2012 .

Time Delay Estimation Via Wasserstein Distance Minimization

Jonathan M. Nichols, Meredith N. Hutchinson, Nicole Menkart, 2019, IEEE Signal Processing Letters.

Fiber Optic Strain Sensors (FOSS) to Monitor Strains on a Navy Vessel During Operations

Jonathan M. Nichols, Liming W. Salvino, Stephen T. Trickey, 2007 .

Joint degradation assessment in an extended structure using chaotic attractor property analysis

Michael D. Todd, Jonathan M. Nichols, Stephen T. Trickey, 2003, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Characterizing the auto-bispectrum as a detector of nonlinearity in structural systems

Jonathan M. Nichols, Pier Marzocca, Attilio Milanese, 2007, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Finer-Optic Strain Monitoring on a Navy Cruiser

Jonathan M. Nichols, Liming W. Salvino, Mark Seaver, 2008 .

Improved outlier identification in hyperspectral imaging via nonlinear dimensionality reduction

Jonathan M. Nichols, C. C. Olson, J. V. Michalowicz, 2010, Defense + Commercial Sensing.

Compressive Sensing Demystified

Jonathan M. Nichols, Frank Bucholtz, 2014 .

Strain Measurements from FBGs Embedded in Rotating Composite Propeller Blades

Jonathan M. Nichols, Mark Seaver, Stephen T. Trickey, 2006 .

Modeling and Detection of Joint Loosening using Output-Only Broad-Band Vibration Data

Jonathan M. Nichols, Piergiovanni Marzocca, Mark Seaver, 2008 .

Coupling Evolutionary Algorithms With Nonlinear Dynamical Systems: An Efficient Tool for Excitation Design and Optimization

Jonathan M. Nichols, Colin C. Olson, Frank Bucholtz, 2011, IEEE Transactions on Evolutionary Computation.

Influence of Spinel head window thickness on the performance characteristics of a submarine panoramic infrared imaging system

Shyam Bayya, Jas S. Sanghera, Jonathan M. Nichols, 2011, Defense + Commercial Sensing.

Avoiding the need for baseline data: an information-theoretic approach to detecting damage-induced nonlinearities in structures

Jonathan M. Nichols, Mark Seaver, Stephen T. Trickey, 2005, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Composite Propeller Performance Monitoring with Embedded FBGs

Jonathan M. Nichols, Mark Seaver, S. T. Trickey, 2006 .

Signal processing and damage detection in a frame structure excited by chaotic input force

Michael D. Todd, Darryll J. Pines, Jonathan M. Nichols, 2003, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Using state space predictive modeling with chaotic interrogation in detecting joint preload loss in a frame structure experiment

Michael D. Todd, Jonathan M. Nichols, Jeannette R. Wait, 2003 .

Reducing Basis Mismatch in Harmonic Signal Recovery via Alternating Convex Search

Rebecca Willett, Jonathan M. Nichols, Albert K. Oh, 2014, IEEE Signal Processing Letters.

Vibration-based damage assessment using local attractor variance

Michael D. Todd, Louis M. Pecora, Jonathan M. Nichols, 2001, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

A modified differential evolution algorithm for damage identification in submerged shell structures

Christopher J. Earls, Jonathan M. Nichols, Heather Reed, 2013 .

Maximum empirical likelihood estimation of time delay in independently and identically distributed noise

Gustavo K. Rohde, Jonathan M. Nichols, Frank Bucholtz, 2014, IET Signal Process..

Selecting among competing models of electro-optic, infrared camera system range performance

Jonathan M. Nichols, James D. Nichols, James E. Hines, 2013 .

Tailored disruption of phase-locked loops via evolutionary algorithms

Jonathan M. Nichols, C. C. Olson, J. V. Michalowicz, 2009, Defense + Commercial Sensing.

Passive shortwave infrared technology and hyperspectral imaging for maritime applications

Jonathan M. Nichols, J. R. Waterman, K. Peter Judd, 2010, Defense + Commercial Sensing.

Use of fiber optic sensors and recurrence quantification analysis in detecting and localizing damage in a thin steel plate

Jonathan M. Nichols, Mark Seaver, Stephen T. Trickey, 2004, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Use of data-driven phase space models in assessing the strength of a bolted connection in a composite beam

Michael D. Todd, Jonathan M. Nichols, Lawrence N. Virgin, 2004 .

Experimental demonstration of local attractor variance as a damage indication feature

Charles R. Farrar, Jonathan M. Nichols, Matthew T. Bement, 2002 .

Frequency Distortion of Second- and Third-Order Phase-Locked Loop Systems Using a Volterra-Series Approximation

Jonathan M. Nichols, J. Nichols, 2009, IEEE Transactions on Circuits and Systems I: Regular Papers.

Use of Fiber-optic Strain Sensors and Holder Exponents for Detecting and Localizing Damage in an Experimental Plate Structure

Jonathan M. Nichols, Mark Seaver, S. T. Trickey, 2007 .

Manifold learning techniques for unsupervised anomaly detection

Jonathan M. Nichols, Colin C. Olson, K. P. Judd, 2018, Expert Syst. Appl..

Optical Signatures and Detection Strategy for a Finned Bioinspired Unmanned Undersea Vehicle

Jonathan M. Nichols, K. P. Judd, K. Peter Judd, 2018, IEEE Journal of Oceanic Engineering.

Linearized Transfer Entropy for Continuous Second Order Systems

Jonathan M. Nichols, Frank Bucholtz, Joseph V. Michalowicz, 2013, Entropy.

EMD AND INSTANTANEOUS PHASE DETECTION OF STRUCTURAL DAMAGE

Darryll J. Pines, Jonathan M. Nichols, Liming W. Salvino, 2005 .

The Bispectrum and Bicoherence for Quadratically Nonlinear Systems Subject to Non-Gaussian Inputs

Jonathan M. Nichols, Colin C. Olson, Frank Bucholtz, 2009, IEEE Transactions on Signal Processing.

On the use of diffusion maps for image fusion

Jonathan M. Nichols, C. C. Olson, Frank Bucholtz, 2011, Defense + Commercial Sensing.

Watercraft detection in short-wave infrared imagery using a tailored wavelet basis

Jonathan M. Nichols, C. C. Olson, K. P. Judd, 2012, Defense + Commercial Sensing.

Structural health monitoring of offshore structures using ambient excitation

Jonathan M. Nichols, J. Nichols, 2003 .

Real-time target tracking for a 360-degree panoramic IR imager

Jonathan M. Nichols, J. R. Waterman, C. C. Olson, 2014, Defense + Security Symposium.

Geometric time-domain methods of vibration-based damage detection

Michael D. Todd, Jonathan M. Nichols, Mark Seaver, 2002, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

A comparison of time series analysis algorithms for detection of barely visible impact damage in UAV wings

Louis M. Pecora, Jonathan M. Nichols, Mark Seaver, 2006, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Detecting Damage-Induced Nonlinearity

Jonathan M. Nichols, Kevin D. Murphy, K. D. Murphy, 2016 .

Inferences About Coupling from Ecological Surveillance Monitoring: Approaches Based on Nonlinear Dynamics and Information Theory

Jonathan M. Nichols, Evan G. Cooch, L. J. Moniz, 2011, Towards an Information Theory of Complex Networks.

9. Damage Identification

Jonathan M. Nichols, Kevin D. Murphy, 2016 .

Calculation of Entropy and Mutual Information for Sinusoids

Jonathan M. Nichols, J. V. Michalowicz, Frank Bucholtz, 2009 .

An Isserlis’ Theorem for Mixed Gaussian Variables: Application to the Auto-Bispectral Density

Jonathan M. Nichols, C. C. Olson, J. V. Michalowicz, 2009 .

Signal detection based on recurrence matrix statistics

Jonathan M. Nichols, J. V. Michalowicz, Frank Bucholtz, 2008 .

SYSTEM IDENTIFICATION THROUGH CHAOTIC INTERROGATION

Jonathan M. Nichols, Lawrence N. Virgin, J. Nichols, 2003 .

On the use of attractor dimension as a feature in structural health monitoring

Michael D. Todd, Jonathan M. Nichols, Lawrence N. Virgin, 2003 .

Structural Health Monitoring Through Chaotic Interrogation

Michael D. Todd, Jonathan M. Nichols, Lawrence N. Virgin, 2003 .

Practical Evaluation of Invariant Measures for the Chaotic Response of a Two-Frequency Excited Mechanical Oscillator

Jonathan M. Nichols, Lawrence N. Virgin, J. Nichols, 2001 .

Stochastic analysis of recurrence plots with applications to the detection of deterministic signals

Gustavo K. Rohde, Jonathan M. Nichols, Frank Bucholtz, 2008 .

Dynamical Assessment of Structural Damage Using the Continuity Statistic

Louis M. Pecora, Jonathan M. Nichols, Jeannette R. Wait, 2004 .

Modeling and analysis of a high-performance midwave infrared panoramic periscope

Jonathan M. Nichols, John Devitt, J. R. Waterman, 2010 .

Optimal bispectral detection of weak, quadratic nonlinearities in structural systems

Jonathan M. Nichols, C. C. Olson, J. Nichols, 2010 .

Damping Estimates from Experimental Non-Linear Time-Series

Henri P. Gavin, Jonathan M. Nichols, Lawrence N. Virgin, 2001 .

Reducing Basis Mismatch in Harmonic Signal Recovery via Alternating Convex Search

Jonathan M. Nichols, Frank Bucholtz, F. Bucholtz, 2014 .

Using ROC curves to assess the efficacy of several detectors of damage-induced nonlinearities in a bolted composite structure

Jonathan M. Nichols, Mark Seaver, S. T. Trickey, 2008 .

Second-order spectra for quadratic nonlinear systems by Volterra functional series: Analytical description and numerical simulation

Jonathan M. Nichols, Piergiovanni Marzocca, Mark Seaver, 2008 .

Modeling and identification of uniform corrosion damage on a thin plate using a Bayesian framework

Jonathan M. Nichols, Kevin D. Murphy, Edward Z. Moore, 2015 .

Vibration-Based Damage Assessment Using Novel Function Statistics with Multiple Time Series

Michael D. Todd, Louis M. Pecora, Jonathan M. Nichols, 2003 .

A method for detecting damage-induced nonlinearities in structures using information theory

Jonathan M. Nichols, Mark Seaver, S. T. Trickey, 2006 .

A simple algorithm for generating spectrally colored, non-Gaussian signals

Jonathan M. Nichols, C. C. Olson, J. V. Michalowicz, 2010 .

Using Ambient Vibrations to Detect Loosening of a Composite-to-Metal Bolted Joint in the Presence of Strong Temperature Fluctuations

Jonathan M. Nichols, Mark Seaver, S. T. Trickey, 2007 .

Passive shortwave infrared broadband and hyperspectral imaging in a maritime environment

Jonathan M. Nichols, K. P. Judd, K. Peter Judd, 2012 .

An optimal transport model for imaging in atmospheric turbulence

Gustavo K. Rohde, Jonathan M. Nichols, Timothy Doster, 2017, 1705.01050.

Modeling and detection of delamination in a composite beam: A polyspectral approach

Jonathan M. Nichols, Kevin D. Murphy, K. D. Murphy, 2010 .

A general Isserlis theorem for mixed-Gaussian random variables

Jonathan M. Nichols, C. C. Olson, J. V. Michalowicz, 2011 .

On the use of the auto-bispectral density for detecting quadratic nonlinearity in structural systems

Jonathan M. Nichols, Piergiovanni Marzocca, Attilio Milanese, 2008 .

Detecting generalized dynamic inter-relationship in a frame experiment with measures of information flow and interdependence

Michael D. Todd, Jonathan M. Nichols, Colin C. Olson, 2005, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.