Santa Clara University

Tokunbo Ogunfunmi, Ph.D.

	Title:	Associate Professor of Electrical Engineering
	Office:	EC 211
	Phone:	408-554-4481
	Fax:	408-554-5474
	Email:	togunfunmi@scu.edu
	Website:	N/A
	Education:	Ph.D., Stanford University, 1990 M.S., Stanford University, 1984 B.S., University of Ife, Nigeria, 1980
	Interests:	Signal Processing and VLSI

• Biography
• Current Research Interests
• Recent Publications
• Awards
• Courses Taught
• Scientific and professional Societies

Biography

Tokunbo Ogunfunmi is currently an Associate Professor in the department of Electrical Engineering and Director of the Signal Processing Research Lab. (SPRL) at Santa Clara University, Santa Clara, CA. From June-Nov., 2003 he served as Acting Chair, Electrical Engineering Dept., Santa Clara University.

His research interests include adaptive signal processing, nonlinear signal processing, multimedia and artificial neural networks, VLSI design and CAD. He has published one book and over 90 refereed journal and conference papers in these and related areas.

Dr. Ogunfunmi has been a consultant to industry and government, and a visiting professor at The University of Texas and Stanford University. His industrial experience include consulting for companies such as Broadcom, AMD, CASE Technology, CLARIS Corp., Clairvoyant, NEC, AT\&T Bell Labs. and NIKON Precision Research & Development. He is also a registered professional engineer.

He is a Senior Member of the Institution of Electrical and Electronic Engineers (IEEE), a Member of Sigma Xi (the Scientific Research Society) , and Member of the American Association for the Advancement of Science (AAAS). Previously he was Vice-Chair and is currently the Chair of the IEEE Signal Processing Society (SPS) Santa Clara Valley Chapter. He is also a member of the IEEE Circuits and Systems Society Technical Committee on DSP and the IEEE Circuits and Systems Society Technical Committee on Circuits and Systems for Communications (CASCOM).

Current Research Interests

• Digital, Adaptive and nonlinear signal processing
• Multimedia (Video/Audio/Speech) signal processing
• VLSI Design

Recent Publications

• Ogunfunmi, Tokunbo, Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches, published by Springer Publishers, 2007.

• Ndili, Obianuju and Ogunfunmi, Tokunbo, Achieving Maximum Possible Speed on Constrained Block Transmission Systems, EURASIP Journal on Advances in Signal Processing, vol. 2007, Article ID: 35689, pp.1-11, Jan. 2007. 

• Han, Shi-Lei and Ogunfunmi, Tokunbo, Real-Time Ogg/Vorbis Audio Decoder on the TMS320C6416 DSK, Proceedings of the Texas Instruments Developer Conference, Dallas, Texas, March. 2007. 

• Ogunfunmi, Tokunbo and Jamali, Hamadi, Performance Bounds on the Constant Modulus Error Surface, Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), pp.3478-3481, May 2006. 

• Ogunfunmi, Tokunbo, Realizing Higher-Order Nonlinear Wiener Adaptive Systems, Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), Kobe, Japan, pp.2843-2846, May 2005. 

• Ogunfunmi, Tokunbo, Navneet Ayer and William Huang, Implementation of H.263++ video codec in real-time application on the TMS320C6X DSP, Proceedings of the Texas Instruments Developer Conference, Houston, Texas, SPRP190, Feb. 2004. 

• Jamali Hamadi and Ogunfunmi, Tokunbo, Constant Modulus Performance Search Using LMS Method, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2003), Hong Kong, vol. VI, pp.93-96, April 2003. 

• Chang, Shue-Lee and Ogunfunmi, Tokunbo, Stochastic-gradient-based third-order Volterra system identification by using nonlinear Wiener adaptive algorithm, IEE Proceedings on Vision, Image and Signal Processing, vol. 150, No. 2, Apr. 2003. 

• Chang, Shue-Lee and Ogunfunmi, Tokunbo, Performance Analysis of Third-order Nonlinear Wiener Adaptive Systems, Proceedings of the International Symposium on Circuits and Systems (ISCAS), Scottsdale, Arizona, vol.2, pp.197-200, May 2002. 

• Jamali, Hamadi and Ogunfunmi, Tokunbo, Stationary points of the finite-length Constant Modulus Optimization, Signal Processing, vol. 82, pp. 625-641, Mar. 2002. 

• Ogunfunmi, Tokunbo and Jamali, Hamadi, Constant Modulus Performance Search Using Newton's Method, Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), vol.4, pp.2165-2168, Salt Lake City, UT, May 2001.

• Ogunfunmi, Tokunbo and Chang, Shue-Lee, Second-order adaptive Volterra system identification based on discrete nonlinear Wiener model, IEE Proceedings on Vision, Image and Signal Processing, vol. 148, No. 1, pp. 21-29, Feb. 2001.

• Ogunfunmi, Tokunbo (with Ndili, Obianuju), A Hardware Oriented Integer-Pel Fast Motion Estimation Algorithm in H.264/AVC, Proceddings of the IEEE/ECSI/EURASIP on Conference on Design and Architectures for Signal and Image Processing, (DASIP), Nov. 2008.

• Ogunfunmi, Tokunbo (with Umoh, Ifiok), An adaptive algorithm for Hammerstein Filter System Identification, Proceedings of the 2008 European Signal Processing Conference (EUSIPCO), Aug. 2008.

• Ogunfunmi, Tokunbo (with Paul, Thomas), Analysis of Convergence of a Frequency-domain LMS Adaptive Filter Implemented as a Multi-Stage Adaptive Filter, Journal of Signal Processing Systems (formerly known as VLSI Signal Processing Journal), March 2008.

• Ogunfunmi, Tokunbo (with Paul, Thomas), Wireless LAN Comes of Age: Understanding the IEE 802.11n Amendment, IEEE Circuits and Systems Magazines, vol. 8, No. 1, PP. 28-54, March 2008.
  

Awards

Courses Taught

• Digital Signal Processing
• Adaptive Signal Processing
• Speech Coding, Voice-over-IP
• Logic Design, VLSI Design
• Linear Systems, Electric Circuits
• Artificial Neural Networks
• Statistical Signal Processing

Scientific and professional Societies

• Senior Member of IEEE (Institution of Electrical and Electronic Engineers)
• Member of Sigma Xi, Scientific Honor Society
• Member of ASEE (American Society for Engineering Education)
• Member, American Association for the Advancement of Science (AAAS)