Todd K. Moon

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 47

Top Venues

Publications

Todd K. Moon, Jacob H. Gunther
Document Author Classification Using Parsed Language Structure. CoRR (2024)
Mohammad Shekaramiz, Todd K. Moon
Compressive Sensing via Variational Bayesian Inference under Two Widely Used Priors: Modeling, Comparison and Discussion. Entropy 25 (3) (2023)
Todd K. Moon, James Hyland, Bridger Altice, Jacob H. Gunther
Extracting Doppler From WiFi Signals Reflected from Moving Targets for Target Tracking. ACSSC (2023)
Tucker Hathaway, Todd K. Moon, Jacob H. Gunther
GPS-Denied Navigation Using SAR by Measuring Position Fitness Using Image Quality Measures. ACSSC (2023)
Jarren T. Worthen, Todd K. Moon, Jacob H. Gunther
Adaptive Regression Trees for Nonlinear Adaptive Filtering. IEEECONF (2022)
Todd K. Moon, Jacob H. Gunther
Fast Solutions of Toeplitz Equations over Finite Fields. IEEECONF (2022)
Todd K. Moon, Jacob H. Gunther
Soft Linear Algebra Over Noisy GF(q) Matrices. IEEECONF (2022)
Joseph L. Ipson, Todd K. Moon
Source localization on limited bandwidth signals using autocorrelation-based fingerprinting. ACSCC (2021)
Todd K. Moon, Jacob H. Gunther
Kurtosis-Based Symbol Timing and Carrier Phase/Frequency Tracking. Entropy 23 (7) (2021)
Todd K. Moon, Thomas Bradshaw, Mirelle Despain, Jacob H. Gunther
Interior Bistatic Target Tracking Using Digital Communications Signals. ACSCC (2021)
Jake Gunther, Todd K. Moon, Charles Swenson
Orbit Refinement for Doppler Removal Using Observations from Multiple Frequencies, Multiple Ground Sites, and Multiple Overpasses. ACSCC (2021)
Madison L. Rose, Joseph L. Ipson, Todd K. Moon, Jacob H. Gunther
Sparse adaptive channel identification method using the cross-relation. Phys. Commun. 47 (2021)
Todd K. Moon, Jacob H. Gunther
Estimation of Autoregressive Parameters from Noisy Observations Using Iterated Covariance Updates. Entropy 22 (5) (2020)
Al-Waled Al-Dulaimi, Todd K. Moon, Jacob H. Gunther
Voice Transformation Using Two-Level Dynamic Warping. ACSSC (2019)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Exploration Versus Data Refinement Via Multiple Mobile Sensors Based On Epistemic Utility Controller. ACSSC (2019)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Bayesian Compressive Sensing of Sparse Signals with Unknown Clustering Patterns. Entropy 21 (3) (2019)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Exploration vs. Data Refinement via Multiple Mobile Sensors. Entropy 21 (6) (2019)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
C-SBL(VB): A Variational Bayes Algorithm for Sparse Recovery of Signals with Unknown Clustering Pattern. ACSSC (2019)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Sparse Recovery Via Variational Bayesian Inference: Comparing Bernoullis-Gaussians-Inverse Gamma And Gaussians-Inverse Gammas Modeling. ACSSC (2018)
Al-Waled Al-Dulaimi, Samantha Budgey, Stephanie A. Borrie, Todd K. Moon, Jacob H. Gunther
A Tool for Training Speech Imitation Accuracy. ACSSC (2018)
Todd K. Moon, Jacob H. Gunther
Acoustic Echo Cancellation During Doubletalk Using Convolutive Blind Source Separation of Signals Having Temporal Dependence. SSP (2018)
D. Alexandra Williams, Benjamin Nelsen, Candace Berrett, Gustavious P. Williams, Todd K. Moon
A comparison of data imputation methods using Bayesian compressive sensing and Empirical Mode Decomposition for environmental temperature data. Environ. Model. Softw. 102 (2018)
Sam Whiting, Todd K. Moon, Jacob H. Gunther
Geolocation From Received Signal Strength. ACSSC (2018)
Todd K. Moon, Michael Schena, Jacob H. Gunther
Source Localization and Room Mapping Using Information Derived from Independent Component Analysis. ACSSC (2018)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Sparse Bayesian learning using variational Bayes inference based on a greedy criterion. ACSSC (2017)
Trevor Landeen, Jake Gunther, Todd K. Moon, David Ohm, Robert North
Association of emitter and emission using deep learning. ACSSC (2017)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Exploration and data refinement via multiple mobile sensors based on Gaussian processes. ACSSC (2017)
Sam Whiting, Dana Sorensen, Todd K. Moon, Jacob H. Gunther
Time and frequency corrections in a distributed radio network. ACSSC (2017)
Todd K. Moon, Jacob H. Gunther
Contravariant Adaptation on the Manifold of Invertible Matrix Transfer Functions. IEEE Signal Process. Lett. 24 (6) (2017)
Todd K. Moon, Jacob H. Gunther
Contravariant Adaptation on the Manifold of Causal, FIR, Invertible Multivariable Matrix Systems. IEEE Signal Process. Lett. 24 (10) (2017)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
AMP-B-SBL: An algorithm for clustered sparse signals using approximate message passing. UEMCON (2016)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Sparse Bayesian learning boosted by partial erroneous support knowledge. ACSSC (2016)
R. Derek West, Jacob H. Gunther, Todd K. Moon
Inverse problems-based maximum likelihood estimation of ground reflectivity for selected regions of interest from stripmap SAR data. IEEE Trans. Aerosp. Electron. Syst. 52 (6) (2016)
Jake Gunther, Todd K. Moon
Blind acoustic echo cancellation without double-talk detection. WASPAA (2015)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
On the block-sparsity of multiple-measurement vectors. SP/SPE (2015)
Jacob H. Gunther, Todd K. Moon
Nine C programming labs to turn students into filtering and signal analysis experts. SP/SPE (2015)
Jacob H. Gunther, Chad Fish, Charles Swenson, Todd K. Moon
Reliable space-to-Earth communication as a secondary service in the 460-470 MHz band. Int. J. Satell. Commun. Netw. 33 (2) (2015)
McKay E. Bonham, Todd K. Moon, Jacob H. Gunther, Gustavious P. Williams
Excision of a discontinuous-frequency interference signal with harmonic structure. ACSSC (2015)
Todd K. Moon, McKay E. Bonham, Jacob H. Gunther, Gustavious P. Williams
Coherent combination of signals from diverse sensors. SP/SPE (2015)
Todd K. Moon, Jacob H. Gunther, Gustavious P. Williams
Extracting the fundamental frequency of a nonlinear chirp signal with modulated harmonic structure using ML, target tracking, and the Viterbi algorithm. SP/SPE (2015)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
On the block-sparse solution of single measurement vectors. ACSSC (2015)
Jake Gunther, Todd K. Moon
Incorporating signal history into transfer logic for two-path echo cancelers. ACSSC (2015)
Todd K. Moon, Jacob H. Gunther
Continuum-State Hidden Markov Models with Dirichlet State Distributions. J. Aerosp. Inf. Syst. 12 (12) (2015)
Jake Gunther, Nathan Ruben, Todd K. Moon
Model-based (passive) heart rate estimation using remote video recording of moving human subjects illuminated by ambient light. ICIP (2015)
Todd K. Moon, David A. Neal, Jacob H. Gunther, Gustavious P. Williams
Temperature emissivity separation: Estimation with a parameter affecting both the mean and variance of the observation. SP/SPE (2015)
David A. Neal, Todd K. Moon, Jacob H. Gunther, Gustavious P. Williams
Correlated maximum likelihood temperature/emissivity separation of hyperspectral images. ACSSC (2015)
Trace A. Griffiths, Gene A. Ware, Todd K. Moon
Signal processing techniques for enhancing multispectral images of ancient documents. SP/SPE (2015)
Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther
Hierarchical Bayesian approach for jointly-sparse solution of multiple-measurement vectors. ACSSC (2014)
Todd K. Moon, Jacob H. Gunther
Quasicontinuous state hidden Markov models incorporating state histories. ACSSC (2014)
Candace Berrett, Gustavious P. Williams, Todd K. Moon, Jacob H. Gunther
A Bayesian Nonparametric Model for Temperature-Emissivity Separation of Long-Wave Hyperspectral Images. Technometrics 56 (2) (2014)
Jake Gunther, Josh Hunsaker, Hyrum Anderson, Todd K. Moon
Sparse reconstruction of equivalence classes of moving targets using single-channel synthetic aperture radar. ICASSP (2014)
Todd K. Moon, Jacob H. Gunther, Cortnie Broadus, Wendy Hou, Nils Nelson
Turbo Processing for Speech Recognition. IEEE Trans. Cybern. 44 (1) (2014)
Jake Gunther, Charles Swenson, Todd K. Moon, Chad Fish, Todd Parris, Donald Thompson, Todd Pedersen
Orbit refinement for software defined radio for space applications. ICASSP (2014)
Matthew Stites, Jacob H. Gunther, Todd K. Moon, Gustavious P. Williams
Using Physically-Modeled Synthetic Data to Assess Hyperspectral Unmixing Approaches. Remote. Sens. 5 (4) (2013)
Todd K. Moon, Jacob H. Gunther
Forward/backwardstate and modelparameter estimation for continuum-state hidden Markov models (CHMM) with Dirichlet state distributions. ACSSC (2013)
Jake Gunther, Todd K. Moon, Matt Stites, Gustavious P. Williams
Separating temperature, emissivity and downwelling radiance in thermal infrared pure-pixel hyperspectral images. ACSSC (2013)
Todd K. Moon, Jacob H. Gunther
Continuum-state hidden Markov models with dirichlet state distributions. ICASSP (2013)
Todd K. Moon, Jacob H. Gunther, Candace Berrett, Gustavious P. Williams
Hierarchical Bayesian sparse source separation of hyperspectral signals. ACSSC (2013)
Jake Gunther, Todd K. Moon
Sparse representation and epoch estimation of voiced speech. WASPAA (2013)
Andrew Pound, Jacob H. Gunther, Todd K. Moon, Gustavious P. Williams
A framework for dictionary learning based hyperspectral pixel classification. ACSCC (2012)
Dustin Rawlings, Jacob H. Gunther, Todd K. Moon, Gustavious P. Williams
Extracting atmospheric profiles from hyperspectral data using particle filters. ACSCC (2012)
Jake Gunther, Todd K. Moon
Entropy Minimization for Solving Sudoku. IEEE Trans. Signal Process. 60 (1) (2012)
Todd K. Moon, Jacob H. Gunther
Multiple-Access via Turbo Joint Equalization. IEEE Trans. Commun. 60 (10) (2012)
Chad Knight, Jake Gunther, Todd K. Moon
Breaking the isotropic scattering assumption in wide-beam stripmap SAR imaging. ACSCC (2012)
Cameron S. Grant, Todd K. Moon, Jake Gunther, Matthew Stites, Gustavious P. Williams
Detection of Amorphously Shaped Objects Using Spatial Information Detection Enhancement (SIDE). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5 (2) (2012)
Jake Gunther, Todd K. Moon
Incorporating prior information into semidefinite relaxation of quadratic optimization problems. ACSCC (2011)
Todd K. Moon, Jacob H. Gunther
Transform-Based Computation of the Distribution of a Linear Combination of Random Variables Over Arbitrary Finite Fields. IEEE Signal Process. Lett. 18 (12) (2011)
Michael R. Bastian, Jacob H. Gunther, Todd K. Moon
A Simplified Natural Gradient Learning Algorithm. Adv. Artif. Neural Syst. 2011 (2011)
Roger Derek West, Jacob H. Gunther, Todd K. Moon
Subspace fitting based autofocus for stripmap SAR. ACSCC (2011)
Todd K. Moon, Jacob H. Gunther
Decoding by iterative detection (DECIDET): Soft-in/soft-out decoding of arbitrary linear block codes over arbitrary finite fields. ACSCC (2011)
Jake Gunther, Todd K. Moon
An interior point method for a semidefinite relaxation based equalizer incorporating prior information. CAMSAP (2011)
Roger Derek West, Todd K. Moon, Jacob H. Gunther
Block circular and hyperbolic transformations for the block fast array RLS algorithm. ACSCC (2011)
Christian C. Marchant, Todd K. Moon, Jacob H. Gunther
An Iterative Least Square Approach to Elastic-Lidar Retrievals for Well-Characterized Aerosols. IEEE Trans. Geosci. Remote. Sens. 48 (5) (2010)
Todd K. Moon, Jacob H. Gunther
A "research experience for undergraduates" in signal processing, coding and communications. ICASSP (2010)
Jake Gunther, Todd K. Moon
Burst mode synchronization of QPSK on AWGN channels using kurtosis. IEEE Trans. Commun. 57 (8) (2009)
Jake Gunther, Todd K. Moon
Minimum bayes risk adaptive linear equalizers. IEEE Trans. Signal Process. 57 (12) (2009)
Todd K. Moon, J. S. Crockett, Jacob H. Gunther, O. S. Chauhan
Iterative Decoding using Eigenmessages. IEEE Trans. Commun. 57 (12) (2009)
Todd K. Moon, Jacob H. Gunther, J. J. Kupin
Sinkhorn Solves Sudoku. IEEE Trans. Inf. Theory 55 (4) (2009)
Jake Gunther, Todd K. Moon
Minimum symbol error rate carrier phase recovery of QPSK. IEEE Trans. Signal Process. 57 (8) (2009)
Todd K. Moon, Jacob H. Gunther
Partial Specification Frequency-Domain Least-Squares Filter Design and System Identification. IEEE Signal Process. Lett. 15 (2008)
Michael R. Bastian, Jacob H. Gunther, Todd K. Moon
Sobolev Gradients and Neural Networks. ICASSP (2008)
Todd K. Moon, Cameron S. Grant, Jacob H. Gunther, Gustavious P. Williams
A neighborhood model for detection in hyperspectral images. ACSCC (2008)
Jake Gunther, Todd K. Moon
Generalized minimum probability of symbol error adaptive equalization. ACSCC (2008)
Jake Gunther, David Keller, Todd K. Moon
A Generalized BCJR Algorithm and Its Use in Iterative Blind Channel Identification. IEEE Signal Process. Lett. 14 (10) (2007)
Jacob H. Gunther, M. Ankapura, Todd K. Moon
A generalized LDPC decoder for blind turbo equalization. IEEE Trans. Signal Process. 53 (10) (2005)
Jacob H. Gunther, David Keller, Todd K. Moon
A generalized BCJR algorithm and its use in turbo synchronization. ICASSP (3) (2005)
Michael R. Bastian, Jacob H. Gunther, Todd K. Moon
An improvement to the natural gradient learning algorithm for multilayer perceptrons. ICASSP (5) (2005)
Todd K. Moon, Jacob H. Gunther
On the equivalence of two Welch-Berlekamp key equations and their error evaluators. IEEE Trans. Inf. Theory 51 (1) (2005)
Todd K. Moon
On general linear block code decoding using the sum-product iterative decoder. IEEE Commun. Lett. 8 (6) (2004)
Chet Lo, Todd K. Moon
Bandwidth efficient digital communication with wavelet approximations. J. Commun. Networks 4 (2) (2002)
Todd K. Moon, Jacob H. Gunther
Contravariant adaptation on structured matrix spaces. Signal Process. 82 (10) (2002)
Todd K. Moon
Maximum-likelihood binary shift-register synthesis from noisy observations. IEEE Trans. Inf. Theory 48 (7) (2002)
Todd K. Moon
Maximum likelihood binary shift-register synthesis from noisy observations. ICASSP (2001)
Chet Lo, Todd K. Moon
Optimal signal design and detection for fast fading channels. ICASSP (2001)
Ryan P. Thomas, Todd K. Moon
Projective residual vector quantization and mapped residual pooling. ICASSP (2000)
Satyajeet Hoskote, Todd K. Moon
Source/channel coding using reversible self-synchronizing variable-length codes. ICASSP (2000)
Todd K. Moon
The expectation-maximization algorithm. IEEE Signal Process. Mag. 13 (6) (1996)
Todd K. Moon
Similarity methods in signal processing. IEEE Trans. Signal Process. 44 (4) (1996)
Todd K. Moon, Scott E. Budge
Classification Using Set-Valued Kalman Filtering and Levi's Decision Theory. IEEE Trans. Syst. Man Cybern. Syst. 24 (2) (1994)
Todd K. Moon, Scott E. Budge, Wynn C. Stirling, Jeff B. Thompson
Epistemic Decision Theory Applied to Multiple-Target Tracking. IEEE Trans. Syst. Man Cybern. Syst. 24 (2) (1994)

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Publication Activity (10 Years)

Top Topics

Top Venues

Todd K. Moon