Eric A. Wan

Publication Activity (10 Years)

Years Active: 1990-2021
Publications (10 Years): 3

Top Topics

Multiple Sclerosis

Robust Classification

Automated Detection

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Clara Mosquera Lopez, Eric A. Wan, Mahesh C. Shastry, Jonathon Folsom, Joseph Leitschuh, John Condon, Uma Rajhbeharrysingh, Andrea Hildebrand, Michelle Cameron, Peter G. Jacobs
Automated Detection of Real-World Falls: Modeled From People With Multiple Sclerosis. IEEE J. Biomed. Health Informatics 25 (6) (2021)
Mahesh C. Shastry, Meysam Asgari, Eric A. Wan, Joseph Leitschuh, Nicholas Preiser, Jon Folsom, John Condon, Michelle Cameron, Peter G. Jacobs
Context-aware fall detection using inertial sensors and time-of-flight transceivers. EMBC (2016)
Erich R. Schafermeyer, Eric A. Wan, Shadman Samin, Noah Zentzis, Nicholas Preiser, John Condon, Jon Folsom, Peter G. Jacobs
Multi-resident identification using device-free IR and RF fingerprinting. EMBC (2015)
Anindya Sao Paul, Eric A. Wan, Fatema Adenwala, Erich Schafermeyer, Nick Preiser, Jeffrey A. Kaye, Peter G. Jacobs
MobileRF: a robust device-free tracking system based on a hybrid neural network HMM classifier. UbiComp (2014)
Peter G. Jacobs, Eric A. Wan, Erich Schafermeyer, Fatema Adenwala, Anindya Sao Paul, Nick Preiser, Jeffrey A. Kaye
Measuring in-home walking speed using wall-mounted RF transceiver arrays. EMBC (2014)
Sunghan Kim, Anindya Sao Paul, Eric A. Wan, James McNames
Multiharmonic Frequency Tracking Method Using The Sigma-Point Kalman Smoother. EURASIP J. Adv. Signal Process. 2010 (2010)
Eric A. Wan, Anindya Sao Paul
A tag-free solution to unobtrusive indoor tracking using wall-mounted ultrasonic transducers. IPIN (2010)
Anindya Sao Paul, Eric A. Wan
RSSI-Based Indoor Localization and Tracking Using Sigma-Point Kalman Smoothers. IEEE J. Sel. Top. Signal Process. 3 (5) (2009)
Anindya Sao Paul, Eric A. Wan
A new formulation for nonlinear forward-backward smoothing. ICASSP (2008)
Anindya Sao Paul, Eric A. Wan, Alex T. Nelson
Noise Reduction for Heart Sounds Using a Modified Minimum-Mean Squared Error Estimator with ECG Gating. EMBC (2006)
Alexander A. Bogdanov, Eric A. Wan, Geoff Harvey
SDRE flight control for X-Cell and R-Max autonomous helicopters. CDC (2004)
Qiang Fu, Eric A. Wan
Perceptual wavelet adaptive denoising of speech. INTERSPEECH (2003)
Rudolph van der Merwe, Eric A. Wan
Gaussian mixture sigma-point particle filters for sequential probabilistic inference in dynamic state-space models. ICASSP (6) (2003)
Eric A. Wan, Alexander A. Bogdanov
Model predictive neural control with applications to a 6 DOF helicopter model. ACC (2001)
Rudolph van der Merwe, Eric A. Wan
Efficient derivative-free Kalman filters for online learning. ESANN (2001)
Rudolph van der Merwe, Eric A. Wan
The square-root unscented Kalman filter for state and parameter-estimation. ICASSP (2001)
Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas, Eric A. Wan
The Unscented Particle Filter. NIPS (2000)
Eric A. Wan, Rudolph van der Merwe, Alex T. Nelson
Dual Estimation and the Unscented Transformation. NIPS (1999)
Eric A. Wan, Rudolph van der Merwe
Noise-regularized adaptive filtering for speech enhancement. EUROSPEECH (1999)
Eric A. Wan, Alex T. Nelson
Removal of noise from speech using the dual EKF algorithm. ICASSP (1998)
Eric A. Wan
Combining fossil and sunspot data: committee predictions. ICNN (1997)
Eric A. Wan, Françoise Beaufays
Diagrammatic Methods for Deriving and Relating Temporal Neural Network Algorithms. Summer School on Neural Networks (1997)
Alex T. Nelson, Eric A. Wan
Neural speech enhancement using dual extended Kalman filtering. ICNN (1997)
Eric A. Wan
Adjoint LMS: an efficient alternative to the filtered-x LMS and multiple error LMS algorithms. ICASSP (1996)
Eric A. Wan, Alex T. Nelson
Dual Kalman Filtering Methods for Nonlinear Prediction, Smoothing and Estimation. NIPS (1996)
Eric A. Wan, Françoise Beaufays
Diagrammatic Derivation of Gradient Algorithms for Neural Networks. Neural Comput. 8 (1) (1996)
Carlos Avendaño, Hynek Hermansky, Eric A. Wan
Beyond NYQUIST: towards the recovery of broad-bandwidth speech from narrow-bandwidth speech. EUROSPEECH (1995)
Hynek Hermansky, Eric A. Wan, Carlos Avendaño
Speech enhancement based on temporal processing. ICASSP (1995)
Françoise Beaufays, Eric A. Wan
Relating Real-Time Backpropagation and Backpropagation-Through-Time: An Application of Flow Graph Interreciprocity. Neural Comput. 6 (2) (1994)
Bernard Widrow, Michael A. Lehr, Françoise Beaufays, Eric A. Wan, Michel Bilello
Learning algorithms for adaptive processing and control. ICNN (1993)
Eric A. Wan
Discrete time neural networks. Appl. Intell. 3 (1) (1993)
Eric A. Wan
Temporal backpropagation for FIR neural networks. IJCNN (1990)
Eric A. Wan
Neural network classification: a Bayesian interpretation. IEEE Trans. Neural Networks 1 (4) (1990)