Jenq-Tay Yuan (袁正泰) was born in Taipei, Taiwan, R.O.C., on September 9, 1957. He received the B.S. degree in electronic engineering from Fu Jen Catholic University, Taipei, in 1981. After completing his military service, in 1984 he went to the United States where he became a Christian and learned how to independently conduct academic research. He received the M.S. and the Ph.D. degrees under the supervision of Dr. Darrow Dawson and Dr. John A. Stuller, both in electrical engineering, from the University of Missouri – Rolla, Rolla, Missouri, U.S.A., in 1986 and 1991, respectively. From 1985 to 1991, he was a Teaching and Research assistant with the University of Missouri – Rolla. From 1992 to 1993, he was a system engineer in the Formosa Plastics Corporation, Point Comfort, Texas, U.S.A. He joined the Department of Electronic Engineering, Fu Jen Catholic University, in 1993 as an Associate Professor, and was granted with full Professorship starting February 2001.

His research interests have been centered on the area of statistical and adaptive signal processing and their application to communication systems. His major academic contributions in the past ten years are in the field of adaptive signal processing. Specifically, he almost single-handedly developed computationally efficient and numerically stable smoothing (or two-sided filtering) as well as interpolation (or two-sided prediction) algorithms in lattice structure. These developed algorithms not only generalize the extensively used one-sided filtering and one-sided prediction lattice algorithms, but also have potential implications for communication, signal processing, and estimation problems. These developed algorithms can be useful tools for channel equalization and estimation, data compression, coding and restoration of speech and image, and even for narrowband interference suppression in spread spectrum communication systems. The results of the paper by Jenq-Tay Yuan, "QR-Decomposition-Based Least-squares Lattice Interpolators," IEEE Transactions on Signal Processing, Vol 48, No.1, January, 2000, pp. 70-79 and the paper by Jenq-Tay Yuan, and John A. Stuller, "Least Squares Order-Recursive Lattice Smoothers," published in IEEE Transactions on Signal Processing, Vol 43, No.5, May 1995, pp. 1058-1067 are significant and are therefore cited and briefly discussed in the most widely known textbook “Adaptive Filter Theory” by Simon Haykin (Englewood Cliffs, Pretence Hall) in the adaptive signal processing field (see pp. 695 and pp. 976 of  ed. and pp. 911 of  ed.). His current research interests are blind (unsupervised) equalization and applying the previously developed interpolation lattice algorithms to narrow-band interference suppression in the direct sequence CDMA Systems.

(1) Jenq-Tay Yuan, and John A. Stuller, "Order-Recursive FIR Smoothers," IEEE Transactions on Signal Processing, Vol. 42, No.5, May 1994, pp. 1242-1246.

(2) Jenq-Tay Yuan, and John A. Stuller, "Least Squares Order-Recursive Lattice Smoothers," IEEE Transactions on Signal Processing, Vol. 43, No.5, May 1995, pp. 1058-1067.

(3) Jenq-Tay Yuan, "Asymmetric Interpolation Lattice," IEEE Transactions on Signal Processing, Vol. 44, No.5, May 1996, pp. 1256 - 1261. (NSC 86-2213-E030-004)

(4) Jenq-Tay Yuan, "A Modified QRD for Smoothing and A QRD-LSL Smoothing Algorithm," IEEE Transactions on Signal Processing, Vol. 47, No.5, May 1999, pp. 1414-1420. (NSC 87-2213- E030-004)

(5) Jenq-Tay Yuan, "QR-Decomposition-Based Least-squares Lattice Interpolators," IEEE Transactions on Signal Processing, Vol. 48, No.1, January, 2000, pp. 70-79. (NSC 88-2218- E030-001)

(6) Jenq-Tay Yuan, “A State-Space Approach to QRD-LSL Interpolation and QRD-LSL Smoothing,” IEEE Transactions on Signal Processing, Vol. 49, No. 11, November 2001, pp. 2880-2884. (NSC 89-2213- E030-010)

(7) Jenq-Tay Yuan and Jenq-Nan Lee, “Narrowband Interference Rejection in DS/CDMA Systems Using Adaptive (QRD-LSL)-Based Nonlinear ACM Interpolators,” IEEE Transactions on Vehicular Technology, Vol. 52, No. 2, March 2003, pp. 374-379.

(9) Jenq-Tay Yuan, “A New Interpolation Lattice Structure” Proceedings of IEEE 1993 International Conference on Acoustics, Speech and Signal Processing (ICASSP-93), Minneapolis, MN, April, 1993, pp. III448-III451.

(10) Jenq-Tay Yuan, “Linear Interpolation Lattice Filters” Proceedings of the fifth Annual International Conference on Wireless Communications, Calgary, Alberta, Canada, July 1993, pp.727-745.

(11) Jenq-Tay Yuan, “Least-Squares Lattice Interpolation Filters” Proceedings of IEEE 1994 International Conference on Communications (ICC-94), New Orleans, LA, May, 1994, pp. 1463-1466.

(12) Jenq-Tay Yuan, “Least-Squares Lattice Interpolation Filters” Proceedings of IEEE 1994 International Conference on Acoustics, Speech and Signal Processing (ICASSP-94), April, 1994, pp. III397-III400.

(13) Jenq-Tay Yuan, and John A. Stuller, "Least Squares Lattice Smoothers for Adaptive Equalization," Proceedings of International Conference on Telecommunications (ICT-95), Nusa Dua, Bali, Indonesia, 3^rd-5th, April 1995, pp. 55-60.

(14) Jenq-Tay Yuan, "QR-Decomposition for Noncausal Filtering - Part I: A Modified QR-Decomposition," Proceedings of IASTED International Conference on Modelling and Simulation - Pittsburgh, May 14-17, 1997, pp. 349-353.

(15) Jenq-Tay Yuan, "QR-Decomposition for Noncausal Filtering - Part II: QR-Decomposition-based LSL Smoothing Algorithm," Proceedings of IASTED International Conference on Modelling and Simulation - Pittsburgh, May 14-17, 1997, pp. 354-358.

(16) Jenq-Tay Yuan, "Implementation of LSL Interpolation Algorithm Using Givens Rotations," The Eighth Annual International Conference on Signal Processing Applications and Technology (ICSPAT '97), San Diego, CA, USA, September 17, 1997, pp. 70-75.

(17) Jenq-Tay Yuan, and Wen-Lin Chang, "Some New Results on Least-Squares Lattice Interpolation and Smoothing based on the QR-Decomposition," 1997 International Symposium on Communications, December 17-19, 1997, pp.581-586, National Tsing Hua University, Hsinchu, Taiwan, R.O.C.

(18) Y. W. Bai and Jenq-Tay Yuan, "QRD-Based LSL Interpolators - Part II: A QRD-Based LSL Interpolation Algorithm," 1998 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-98), May 11-15, 1998, pp. III1473-III1476.

(19) Jenq-Tay Yuan, "A Modified QR-Decomposition and a QR-Decomposition-based LSL Smoothing Algorithm," Proceedings of 1998 National Symposium on Telcommunications, Tamkang University, Taipei, Taiwan, R.O.C., December 18-19, 1998, pp. 247-254.

(20) Jenq-Tay Yuan, “A QRD-LSL Smoothing Algorithm for Adaptive Equalization”, Proceedings of IEEE 1999 International Conference on Communications (ICC-99), Vancouver B. C., Canada, June 6-10, 1999, pp. 1495-1503.

(21)Jenq-Nan Lee, and Jenq-Tay Yuan, "Interpolation Lattice Filters for Narrowband Interference Cancellation in PN Spread Spectrum Communication Systems", Proceedings of the IEEE Sixth International Symposium on Spread Spectrum Techniques and Applications, 6 – 8 September 2000, Parsippany, NJ, USA, pp. 107 – 111.

(22)Jenq-Nan Lee, and Jenq-Tay Yuan, "Interference Rejection in DS Spread Spectrum Systems Using Nonlinear Interpolation Lattice Filters", Third IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications (SPAWC-01), March 20-23, 2001, Taoyuan, Taiwan, R.O.C., pp. 198-201.

(23)Yi-Cheng Liao and Jenq-Tay Yuan, “A Novel Structure for Blind Equalization,” Proceedings of 2000 National Symposium on Telecommunications, pp. 1-123 ~ 1-128.

(24)Jenq-Nan Lee, and Jenq-Tay Yuan, and Sheng-Long Tsai, "Suppression of Narrowband Interference in DS Spread Spectrum Systems Using QRD-LSL Interpolation Filters," Proceedings of 2000 National Symposium on Telecommunications, pp. 1-379 ~ 1-383.

(25) Jenq-Tay Yuan and Yi-Cheng Liao, “A Novel Blind Equalization Structure Based on CMA-Generated Desired Response,” IASTED International Conference on Modelling and Simulation, Pittsburgh, Pennsylvania, USA, May 2001, pp. 135-140.

(26) Jenq-Tay Yuan, and Jenq-Nan Lee, “Adaptive Nonlinear QRD-LSL Interpolators for Narrow-band Interference Suppression in DS/CDMA Systems,” IEEE International Symposium on Intelligent Signal Processing and Communication Systems, 20-23 November 2001, pp. 228-232.

(27) Jenq-Tay Yuan, and Yi-Cheng Liao, “Performance Enhancement of SISO Blind Equalization Using Decision-Directed Least-Squares Estimation,” 1^st IEEE International Symposium on Signal Processing and Information Technology, 28-30 December, 2001, pp. 205-208.

(28) Yu-Hang Lin and Jenq-Tay Yuan, “Blind Equalization Using a Stop-and-Go Decision-Directed Least-Squares Algorithm,” IASTED International Conference on Communication Systems and Networks, September, 2002, pp, 260-265.

(29) Yu-Hang Lin and Jenq-Tay Yuan, “A Hybrid of a Modified Constant Modulus Algorithm and a Godard Stop-and-Go Decision-Directed Algorithm for Blind Equalization,” 2002 National Symposium on Telecommunications.

(30) Jenq-Tay Yuan, “Performance enhancement of blind equalization using decision-directed least-squares estimation,” Workshop on Consumer Electronics, National Tsing-Hua University, Dec. 2002, pp. 232-237.

(31) Kun-Da Tsai and Jenq-Tay Yuan, “A Modified Constant Modulus Algorithm (CMA) for Joint Blind Equalization and Carrier Recovery in Two-Dimensional Digital Communication Systems,” Seventh International Symposium on Signal Processing and its Applications (ISSPA 2003), pp. 563-566.