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ORCIDEric A. Wan
Person information
- affiliation: Portland State University, USA
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2020 – today
- 2021
[j7]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): 1975-1984 (2021)
2010 – 2019
- 2016
- [c26]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: 570-573 - 2015
- [c25]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: 5481-5484 - 2014
- [c24]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: 914-917 - [c23]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: 159-170 - 2010
- [j6]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) - [c22]Eric A. Wan, Anindya Sao Paul:
A tag-free solution to unobtrusive indoor tracking using wall-mounted ultrasonic transducers. IPIN 2010: 1-10
2000 – 2009
- 2009
- [j5]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): 860-873 (2009) - 2008
- [c21]Anindya Sao Paul, Eric A. Wan:
A new formulation for nonlinear forward-backward smoothing. ICASSP 2008: 3621-3624 - 2006
- [c20]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: 3385-3390 - 2004
- [c19]Alexander A. Bogdanov, Eric A. Wan, Geoff Harvey:
SDRE flight control for X-Cell and R-Max autonomous helicopters. CDC 2004: 1196-1203 - 2003
- [c18]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: 701-704 - [c17]Qiang Fu, Eric A. Wan:
Perceptual wavelet adaptive denoising of speech. INTERSPEECH 2003: 577-580 - 2001
- [c16]Eric A. Wan, Alexander A. Bogdanov:
Model predictive neural control with applications to a 6 DOF helicopter model. ACC 2001: 488-493 - [c15]Rudolph van der Merwe, Eric A. Wan:
Efficient derivative-free Kalman filters for online learning. ESANN 2001: 205-210 - [c14]Rudolph van der Merwe, Eric A. Wan:
The square-root unscented Kalman filter for state and parameter-estimation. ICASSP 2001: 3461-3464 - 2000
- [c13]Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas, Eric A. Wan:
The Unscented Particle Filter. NIPS 2000: 584-590
1990 – 1999
- 1999
- [c12]Eric A. Wan, Rudolph van der Merwe:
Noise-regularized adaptive filtering for speech enhancement. EUROSPEECH 1999: 2643-2646 - [c11]Eric A. Wan, Rudolph van der Merwe, Alex T. Nelson:
Dual Estimation and the Unscented Transformation. NIPS 1999: 666-672 - 1998
- [c10]Eric A. Wan, Alex T. Nelson:
Removal of noise from speech using the dual EKF algorithm. ICASSP 1998: 381-384 - 1997
- [c9]Alex T. Nelson, Eric A. Wan:
Neural speech enhancement using dual extended Kalman filtering. ICNN 1997: 2171-2175 - [c8]Eric A. Wan:
Combining fossil and sunspot data: committee predictions. ICNN 1997: 2176-2180 - [c7]Eric A. Wan, Françoise Beaufays:
Diagrammatic Methods for Deriving and Relating Temporal Neural Network Algorithms. Summer School on Neural Networks 1997: 63-98 - 1996
- [j4]Eric A. Wan, Françoise Beaufays:
Diagrammatic Derivation of Gradient Algorithms for Neural Networks. Neural Comput. 8(1): 182-201 (1996) - [c6]Eric A. Wan:
Adjoint LMS: an efficient alternative to the filtered-x LMS and multiple error LMS algorithms. ICASSP 1996: 1842-1845 - [c5]Eric A. Wan, Alex T. Nelson:
Dual Kalman Filtering Methods for Nonlinear Prediction, Smoothing and Estimation. NIPS 1996: 793-799 - 1995
- [c4]Hynek Hermansky, Eric A. Wan, Carlos Avendaño:
Speech enhancement based on temporal processing. ICASSP 1995: 405-408 - [c3]Carlos Avendaño, Hynek Hermansky, Eric A. Wan:
Beyond NYQUIST: towards the recovery of broad-bandwidth speech from narrow-bandwidth speech. EUROSPEECH 1995: 165-168 - 1994
- [j3]Françoise Beaufays, Eric A. Wan:
Relating Real-Time Backpropagation and Backpropagation-Through-Time: An Application of Flow Graph Interreciprocity. Neural Comput. 6(2): 296-306 (1994) - 1993
- [j2]Eric A. Wan:
Discrete time neural networks. Appl. Intell. 3(1): 91-105 (1993) - [c2]Bernard Widrow, Michael A. Lehr, Françoise Beaufays, Eric A. Wan, Michel Bilello:
Learning algorithms for adaptive processing and control. ICNN 1993: 1-8 - 1990
- [j1]Eric A. Wan:
Neural network classification: a Bayesian interpretation. IEEE Trans. Neural Networks 1(4): 303-305 (1990) - [c1]Eric A. Wan:
Temporal backpropagation for FIR neural networks. IJCNN 1990: 575-580
Coauthor Index
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