Dual EKF Methods. Eric A. Wan
and Alex T. Nelson. To appear in Kalman Filtering and Neural Networks,
2000. Edited by Simon Haykin, Wiley Publishing. (Gzipped
PostScript,
40 pages)
The Unscented Kalman Filter
for Nonlinear Estimation. Eric A. Wan, Rudolph van der Merwe. To
appear in Symposium 2000 on Adaptive Systems for Signal Processing,
Communications, and Control, Oct 2000.(Gzipped
PostScript,6 pages)
Dual Estimation and the Unscented
Transformation. Eric A. Wan, Rudolph van der Merwe, and Alex T. Nelson.
In Neural Information Processing Systems, volume 12, Nov 1999. (Gzipped
PostScript, 7 pages, 227157 bytes) (PDF,
433649 bytes)
Noise-Regularized Adaptive Filtering
for Speech Enhancement. In Proceedings of EUROSPEECH, Budapest,
Hungary, September 1999. (PostScript,
4 pages, 655015 bytes) (PDF,
327629 bytes). Eric Wan and Rudolph van der Merwe.
Networks
for Speech Enhancement.E.
Wan and A. Nelson, In Handbook of Neural Networks for Speech Processing,
Edited by Shigeru Katagiri, Artech House, Boston, USA. 1998, (in press).
Network Reciprocity: A Simple
Approach to Derive Gradient Algorithms for Arbitrary Neural Network Structures,
E.
Wan and F. Beaufays. In Proceedings ICNN'94, San Diego, 1994.
An Efficient First-Order
Stochastic Algorithm for Lattice Filters, F. Beaufays and E. Wan. In
ICANN'94, Salerno Italy, 1994.
A Unifying View of Some Training
Algorithms for Multilayer Perceptrons with FIR Filter Synapses. A.
Back, E. Wan, S. Lawrence, and A. Tsoi. IEEE Workshop on Neural Networks
and Signal Processing, Sep. 6-8, Ermioni, Greece, 1994
A Unified Approach to Derive
Gradient Algorithms for Arbitrary Neural Network Structures, F. Beaufays
and E. Wan. In ICANN'94, Salerno Italy, 1994
Adaptive Signal Processing.
B.
Widrow, M. Lehr, F. Beaufays, E. Wan, M. Bilello. In Proceedings of the
World Conference on Neural Networks '93, Portland, Oregon, July 12-16,
1993.
Stanford Neural Network Research.
B.
Widrow, M. Lehr, F. Beaufays, E. Wan, M. Bilello. In 1993 SPIE Proceedings
Series, vol. 1965-1966, Orlando, Florida, April 12-16, 1993.
Learning Algorithms for Adaptive
Signal Processing and Control. B. Widrow, M. Lehr, F. Beaufays, E.
Wan, M. Bilello. In Proceedings of the IEEE International Conference on
Neural Networks, volume 1, pages 1-8, San Francisco, CA, March 1993.
Autoregressive Neural Network
Prediction: Learning Chaotic Time Series and Attractors. E. Wan, Proceeding
of the Summer Workshop on Neural Network Computing for the Electric Power
Industry, Stanford, CA, Aug 17-19, 1992.
Using Flow Graph Interreciprocity
to Relate Recurrent-Backpropagation and Backpropagation-Through-Time. F.
Beaufays and E. Wan. In Proceeding of the Summer Workshop on Neural Network
Computing for the Electric Power Industry, Stanford, CA, Aug 17-19, 1992.
Temporal Backpropagation:
An Efficient Algorithm for Finite Impulse Response Neural Networks. E.
Wan In Proceedings of the 1990 Connectionist Models Summer School, Morgan
Kaufmann, pages 131-140.
Neural Network Classification:
A Bayesian Interpretation. E. Wan, IEEE Transactions on Neural Networks,
Vol. 1, No. 4, pages 303-305, December 1990.
Temporal Backpropagation
for FIR Neural Networks. E. Wan, In Proceedings of the International
Joint Conference on Neural Networks, San Diego, June 1990.
Development of Neural Network
Interface for Direct Control of Neuroprostheses. E. Wan, G. Kovacs,
J. Rosen and B. Widrow. In Proceedings of the International Joint Conference
on Neural Networks, Washington, DC, Vol 2, pages 3-21, January 1990.
Neural Tree Structured Vector
Quantization. E. Wan, P. Ning and B. Widrow. In Proceedings of the
International Joint Conference on Neural Networks, Washington, DC, January
1990.
MRIII: A robust algorithm
for training analog neural networks. D. Andes, B. Widrow, M. Lehr and
E. Wan. In Proceedings of the International Joint Conference on Neural
Networks, volume I, pages 533-536, Washington, DC, January 1990.