Y. F. Huang

Principal component vector quantization for abrupt scene changes

S. C. Huang, Y. F. Huang, 1992, [Proceedings] 1992 IEEE International Symposium on Circuits and Systems.

AMUSE: a new blind identification algorithm

R. Liu, Lang Tong, Y. F. Huang, 1990, IEEE International Symposium on Circuits and Systems.

Principal Component Vector Quantization

Y. F. Huang, S. C. Huang, 1993, J. Vis. Commun. Image Represent..

A novel approach to the convergence of neural networks for signal processing

Xieting Ling, Ruey-Wen Liu, Y. F. Huang, 1994, Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94).

Analysis of perceptron training algorithms and applications to hand-written character recognition

S. C. Huang, Y. F. Huang, I.-C. Jou, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

An extended fourth order blind identification algorithm in spatially correlated noise

R. Liu, Lang Tong, Y. F. Huang, 1990, International Conference on Acoustics, Speech, and Signal Processing.

Array signal processing under model uncertainties

R. Liu, Lang Tong, Y. F. Huang, 1991, 1991., IEEE International Sympoisum on Circuits and Systems.

A neural network structure for vector quantizers

Y. F. Huang, S. C. Huang, 1991, 1991., IEEE International Sympoisum on Circuits and Systems.

Series Expansions in Statistical Theory of Detection and Estimation

Y. F. Huang, 1986 .

Set-membership identification and filtering for signal processing applications

John R. Deller, Y. F. Huang, J. Deller, 2002 .

Bounds on number of hidden neurons of multilayer perceptrons in classification and recognition

Y. F. Huang, Y. Huang, S. C. Huang, 1990, IEEE International Symposium on Circuits and Systems.