Steven Kay

93 papers B 2C 2Misc 15Journal 65Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Analytical Implementation of the Rosenblatt Transformation.
IEEE Signal Process. Lett.
Steven Kay, Kaushallya Adhikari, Kaan Icer
2026 J jnl
Local-CGFC: A Local Cumulant Generating Function Classification Rule.
IEEE Signal Process. Lett.
Bo Tang, Steven Kay, Kaushallya Adhikari
2025 J jnl
A Nonparametric Data-Driven Classifier Based on the Cumulant Generating Function.
IEEE Trans. Signal Process.
Steven Kay, Kaushallya Adhikari, Bo Tang
2025 J jnl
AI-Enabled Capabilities to Facilitate Next-Generation Rover Surface Operations.
CoRR
Cristina Luna, Robert Field, Steven Kay
2025 — conf
Effect of the Mollifying Factor on the Cumulant Generating Function Classifier.
ICECET
Kaan Icer, Steven Kay, Kaushallya Adhikari, Bo Tang
2025 J jnl
Introducing Information Metrics for Statistical Signal Processing [Lecture Notes].
IEEE Signal Process. Mag.
Steven Kay, Kaushallya Adhikari
2024 J jnl
Breadboarding the European Moon Rover System: discussion and results of the analogue field test campaign.
CoRR
Cristina Luna, Augusto Gómez Eguíluz, Jorge Barrientos Díez, Almudena Moreno, Alba Guerra, Manuel Esquer, Marina López-Seoane, Steven Kay, Angus Cameron, Carmen Camañes, Philipp Haas, Vassilios Papantoniou, Armin Wedler, Bernhard Rebele, Jennifer Reynolds, Markus Landgraf
2024 — conf
Minimum Distance Receiver using Dynamic Programming-Based Sparse Samples.
AIIoT
Zaynah L. Kalaoun, Kaushallya Adhikari, Steven Kay
2024 J jnl
Prewhitening Followed by Sampling Versus Sampling Followed by Prewhitening for Detection.
IEEE Access
Kaushallya Adhikari, Steven Kay, Russell Costa
2023 J jnl
An Exact Solution for Sparse Sampling for Optimal Detection of Known Signals in Gaussian Noise.
IEEE Signal Process. Lett.
Kaushallya Adhikari, Steven Kay
2023 J jnl
Anomaly Detection via Estimated Mutual Information and Its Relationship to the GLRT.
IEEE Signal Process. Lett.
Steven Kay, Darren Emge
2023 J jnl
Modularity for lunar exploration: European Moon Rover System Pre-Phase A Design and Field Test Campaign Results.
CoRR
Cristina Luna, Jorge Barrientos Díez, Manuel Esquer, Alba Guerra, Marina López-Seoane, Iñaki Colmenarejo, Fernando Gandía, Steven Kay, Angus Cameron, Carmen Camañes, Íñigo Sard, Danel Juárez, Alessandro Orlandi, Federica Angeletti, Vassilios Papantoniou, Ares Papantoniou, Spiros Makris, Bernhard Rebele, Armin Wedler, Jennifer Reynolds, Markus Landgraf
2023 J jnl
The European Moon Rover System: a modular multipurpose rover for future complex lunar missions.
CoRR
Cristina Luna, Manuel Esquer, Jorge Barrientos Díez, Alba Guerra, Marina López-Seoane, Iñaki Colmenarejo, Steven Kay, Angus Cameron, Carmen Camañes, Íñigo Sard, Danel Juárez, Alessandro Orlandi, Federica Angeletti, Vassilios Papantoniou, Ares Papantoniou, Spiros Makris, Armin Wedler, Bernhard Rebele, Jennifer Reynolds, Markus Landgraf
2022 J jnl
Dimensionality Reduction for Signal Detection.
IEEE Signal Process. Lett.
Steven Kay
2022 J jnl
Nonlinear Dimension Reduction by PDF Estimation.
IEEE Trans. Signal Process.
Paul M. Baggenstoss, Steven Kay
2021 J jnl
Optimal Sparse Sampling for Detection of a Known Signal in Nonwhite Gaussian Noise.
IEEE Signal Process. Lett.
Kaushallya Adhikari, Steven Kay
2019 J jnl
A Robust Spectral Estimator With Application to a Noise-Corrupted Process.
IEEE Trans. Signal Process.
Xin Zhou, Steven Kay
2018 J jnl
A New Random Variable Normalizing Transformation With Application to the GLRT.
IEEE Signal Process. Lett.
Steven Kay, Yazan Rawashdeh
2018 J jnl
Locally Optimal Radar Waveform Design for Detecting Doubly Spread Targets in Colored Noise.
IEEE Signal Process. Lett.
Zhenghan Zhu, Steven Kay, Ramachandran S. Raghavan
2018 J jnl
On Bayesian Exponentially Embedded Family for Model Order Selection.
IEEE Trans. Signal Process.
Zhenghan Zhu, Steven Kay
2017 J jnl
Information-Theoretic Optimal Radar Waveform Design.
IEEE Signal Process. Lett.
Zhenghan Zhu, Steven Kay, Ramachandran S. Raghavan
2017 Misc conf
The penalty term of Exponentially Embedded Family is estimated mutual information.
ICASSP
Zhenghan Zhu, Steven Kay
2016 J jnl
A Bayesian Classification Approach Using Class-Specific Features for Text Categorization.
IEEE Trans. Knowl. Data Eng.
Bo Tang, Haibo He, Paul M. Baggenstoss, Steven Kay
2016 J jnl
Adaptive Signal Detection and Parameter Estimation in Unknown Colored Gaussian Noise.
CoRR
Bo Tang, Haibo He, Steven Kay
2016 J jnl
Detection of False Data Injection Attacks in Smart Grid under Colored Gaussian Noise.
CoRR
Bo Tang, Jun Yan, Steven Kay, Haibo He
2016 — conf
Detection of false data injection attacks in smart grid under colored Gaussian noise.
CNS
Bo Tang, Jun Yan, Steven Kay, Haibo He
2016 J jnl
EEF: Exponentially Embedded Families With Class-Specific Features for Classification.
IEEE Signal Process. Lett.
Bo Tang, Steven Kay, Haibo He, Paul M. Baggenstoss
2016 J jnl
EEF: Exponentially Embedded Families with Class-Specific Features for Classification.
CoRR
Bo Tang, Steven Kay, Haibo He, Paul M. Baggenstoss
2016 J jnl
Probability Density Function Estimation Using the EEF With Application to Subset/Feature Selection.
IEEE Trans. Signal Process.
Steven Kay, Quan Ding, Bo Tang, Haibo He
2016 J jnl
Toward Optimal Feature Selection in Naive Bayes for Text Categorization.
CoRR
Bo Tang, Steven Kay, Haibo He
2016 J jnl
Toward Optimal Feature Selection in Naive Bayes for Text Categorization.
IEEE Trans. Knowl. Data Eng.
Bo Tang, Steven Kay, Haibo He
2015 J jnl
A Parametric Classification Rule Based on the Exponentially Embedded Family.
IEEE Trans. Neural Networks Learn. Syst.
Bo Tang, Haibo He, Quan Ding, Steven Kay
2015 J jnl
A Probabilistic Interpretation of the Exponential Mixture.
IEEE Signal Process. Lett.
Steven Kay
2015 — conf
Multimodal target detection via integrated GLRT.
MILCOM
Steven Kay, Fuat Cogun
2015 J jnl
On the Design and Implementation of a Highly Accurate Pulse Predictor for Exercise Equipment.
IEEE Trans. Biomed. Eng.
Steven Kay, Quan Ding, Dongyang Li
2014 C conf
High-SNR model order selection using exponentially embedded family and its applications to curve fitting and clustering.
CIDM
Quan Ding, Steven Kay, Xiaorong Zhang
2014 B conf
Hybrid classification with partial models.
IJCNN
Bo Tang, Quan Ding, Haibo He, Steven Kay
2014 J jnl
TDOA based direct positioning maximum likelihood estimator and the cramer-rao bound.
IEEE Trans. Aerosp. Electron. Syst.
Naresh Vankayalapati, Steven Kay, Quan Ding
2013 J jnl
A Computationally Efficient Nonlinear Least Squares Method Using Random Basis Functions.
IEEE Signal Process. Lett.
Steven Kay
2013 J jnl
A Geometrical Interpretation of Exponentially Embedded Families of Gaussian Probability Density Functions for Model Selection.
IEEE Trans. Signal Process.
Russell Costa, Steven Kay
2013 J jnl
Improvement of TDOA Position Fixing Using the Likelihood Curvature.
IEEE Trans. Signal Process.
Steven Kay, Naresh Vankayalapati
2013 J jnl
Model Estimation and Classification Via Model Structure Determination.
IEEE Trans. Signal Process.
Steven Kay, Quan Ding
2013 J jnl
On the Performance of Independent Processing of Independent Data Sets for Distributed Detection.
IEEE Signal Process. Lett.
Steven Kay, Quan Ding
2013 J jnl
Sensor Integration by Joint PDF Construction using the Exponential Family.
IEEE Trans. Aerosp. Electron. Syst.
Steven Kay, Quan Ding, Muralidhar Rangaswamy
2012 J jnl
A New Proof of the Neyman-Pearson Theorem Using the EEF and the Vindication of Sir R. Fisher.
IEEE Signal Process. Lett.
Steven Kay
2012 J jnl
Asymptotically Optimal Detection of Low Probability of Intercept Signals using Distributed Sensors.
IEEE Trans. Aerosp. Electron. Syst.
Naresh Vankayalapati, Steven Kay
2012 J jnl
Autoregressive Modeling of Raman Spectra for Detection and Classification of Surface Chemicals.
IEEE Trans. Aerosp. Electron. Syst.
Quan Ding, Steven Kay, Cuichun Xu, Darren Emge
2012 — conf
Robust signal detection by using the EEF.
SAM
Steven Kay, Quan Ding, Muralidhar Rangaswamy
2011 — conf
Design and performance of an integrated waveform-agile multi-modal track-before-detect sensing system.
ACSCC
Shubo Liu, Surendra S. Bhat, Jun Jason Zhang, Quan Ding, Ram M. Narayanan, Antonia Papandreou-Suppappola, Steven Kay, Muralidhar Rangaswamy
2011 J jnl
Inconsistency of the MDL: On the Performance of Model Order Selection Criteria With Increasing Signal-to-Noise Ratio.
IEEE Trans. Signal Process.
Quan Ding, Steven Kay
2011 J jnl
Maximum Likelihood Estimator Under a Misspecified Model With High Signal-to-Noise Ratio.
IEEE Trans. Signal Process.
Quan Ding, Steven Kay
2011 J jnl
Signal Fitting With Uncertain Basis Functions.
IEEE Signal Process. Lett.
Steven Kay
2010 J jnl
A New Approach to Fourier Synthesis With Application to Neural Encoding and Speech Classification.
IEEE Signal Process. Lett.
Steven Kay
2010 J jnl
Convergence of the Multidimensional Minimum Variance Spectral Estimator for Continuous and Mixed Spectra.
IEEE Signal Process. Lett.
Steven Kay, Lewis Pakula
2010 Misc conf
Exponentially embedded families for multimodal sensor processing.
ICASSP
Steven Kay, Quan Ding
2010 C conf
Joint PDF construction for sensor fusion and distributed detection.
FUSION
Steven Kay, Quan Ding, Darren Emge
2010 J jnl
Representation and generation of non-Gaussian wide-sense stationary random processes with arbitrary PSDs and a class of PDFs.
IEEE Trans. Signal Process.
Steven Kay
2009 Misc conf
Defending online reputation systems against collaborative unfair raters through signal modeling and trust.
SAC
Yafei Yang, Yan Lindsay Sun, Steven Kay, Qing Yang
2009 J jnl
Securing rating aggregation systems using statistical detectors and trust.
IEEE Trans. Inf. Forensics Secur.
Yafei Yang, Yan Sun, Steven Kay, Qing Yang
2008 J jnl
A New Nonstationarity Detector.
IEEE Trans. Signal Process.
Steven Kay
2008 J jnl
Noise Enhanced Detection as a Special Case of Randomization.
IEEE Signal Process. Lett.
Steven Kay
2008 J jnl
Rethinking biased estimation [Lecture Notes].
IEEE Signal Process. Mag.
Steven Kay, Yonina C. Eldar
2008 J jnl
Source Enumeration via the EEF Criterion.
IEEE Signal Process. Lett.
Cuichun Xu, Steven Kay
2007 J jnl
Asymptotically Optimal Approximation of Multidimensional pdf's by Lower Dimensional pdf's.
IEEE Trans. Signal Process.
Steven Kay
2007 J jnl
Optimal Signal Design for Detection of Gaussian Point Targets in Stationary Gaussian Clutter/Reverberation.
J. Sel. Topics Signal Processing
Steven Kay
2006 Misc conf
Improving Nonparametric Detectors via Stochastic Resonance.
CISS
Hao Chen, Pramod K. Varshney, Steven Kay, James H. Michels
2004 B conf
Optimal segmentation of signals and its application to image denoising and boundary feature extraction.
ICIP
Tony X. Han, Steven Kay, Thomas S. Huang
2004 — conf
Unbiased estimation of the phase of a sinusoid.
ICASSP (2)
Keith Peters, Steven Kay
2001 J jnl
Conditional model order estimation.
IEEE Trans. Signal Process.
Steven Kay
2000 J jnl
Can detectability be improved by adding noise?
IEEE Signal Process. Lett.
Steven Kay
2000 J jnl
Sufficiency, classification, and the class-specific feature theorem.
IEEE Trans. Inf. Theory
Steven Kay
1999 J jnl
Adaptive detection for unknown noise power spectral densities.
IEEE Trans. Signal Process.
Steven Kay
1999 J jnl
An optimal sidelobeless window.
IEEE Trans. Signal Process.
Steven Kay, Dean Smith
1998 J jnl
Model-based probability density function estimation.
IEEE Signal Process. Lett.
Steven Kay
1995 J jnl
Asymptotic maximum likelihood estimator performance for chaotic signals in noise.
IEEE Trans. Signal Process.
Steven Kay
1994 J jnl
Simple frequency estimation via exponential samples.
IEEE Signal Process. Lett.
Steven Kay
1993 — conf
Estimation for processes with mixed spectra.
ICASSP (4)
Steven Kay, Venkatesh Nagesha
1993 — conf
Maximum likelihood estimation for array processing in colored noise.
ICASSP (4)
Venkatesh Nagesha, Steven Kay
1992 Misc conf
Extraction of periodic signals in colored noise.
ICASSP
Steven Kay, Venkatesh Nagesha
1992 Misc conf
Signal separation for nonlinear dynamical systems.
ICASSP
Cory S. Myers, Steven Kay, Michael Richard
1992 Misc conf
Transient signal detection in unknown colored noise fields.
ICASSP
Venkatesh Nagesha, Steven Kay, John Salisbury
1990 J jnl
An efficient two-dimensional frequency estimator.
IEEE Trans. Acoust. Speech Signal Process.
Steven Kay, Reza Nekovei
1989 J jnl
A fast and accurate single frequency estimator.
IEEE Trans. Acoust. Speech Signal Process.
Steven Kay
1989 Misc conf
Frequency estimation using a dynamic programming-type algorithm.
ICASSP
Jianguo Huang, Steven Kay
1988 Misc conf
Statistically/computationally efficient frequency estimation.
ICASSP
Steven Kay
1987 Misc conf
Optimal detection in colored non-Gaussian noise with unknown parameters.
ICASSP
Steven Kay, Debasis Sengupta
1987 Misc conf
Statistically/Computationally efficient estimation of non-Gaussian autoregressive processes.
ICASSP
Steven Kay, Debasis Sengupta
1986 J jnl
Detection performance of the circular correlation coefficient receiver.
IEEE Trans. Acoust. Speech Signal Process.
Steven Kay, Lewis Pakula
1985 Misc conf
Broadband detection of signals with unknown spectra.
ICASSP
Steven Kay
1985 J jnl
Generation of the autocorrelation sequence of an ARMA process.
IEEE Trans. Acoust. Speech Signal Process.
Steven Kay
1985 Misc conf
On the optimality of the Wigner distribution for detection.
ICASSP
Steven Kay, Gloria Faye Boudreaux-Bartels
1981 Misc conf
Improved detection performance of an FM signal by autoregressive spectral analysis.
ICASSP
Steven Kay
1980 Misc conf
Detection of a sinusoid in white noise by autoregressive spectrum analysis.
ICASSP
Steven Kay