Adaptive Filter Algorithms For Complex and Quaternion Data

Thomas K. Paul , Tokunbo Ogunfunmi
Skip to product information

Adaptive Filter Algorithms For Complex and Quaternion Data

Thomas K. Paul , Tokunbo Ogunfunmi
Release date:
Hardcover
Regular price $175.50
Sale price $175.50 Regular price $0.00
Final Sale. No returns or exchanges.
Oversized: This item will be shipped by appointment through our delivery partner.
Overweight: This item will be shipped by appointment through our delivery partner.

Digital download

Immediate access in your Kobo library

Deliver to

Arrives on

Buy online, pick up at Bay & Floor

Free pick up today

Find it in store

Out of stock

Found in: Science & Nature, General Science

Earn 878 plum points and save more with plum Rewards. Learn more

View full details

Overview

180 PAGESENGLISH

Promotional Details
  • Published date: Aug 02, 2026
  • Language: English
  • No. of Pages: 180
  • Publisher: Springer Nature
  • ISBN: 9783032237972
  • Dimensions: 6.1" W x 1.0" L x 9.25" H

Thomas K. Paul has worked in signal communications since 1996. Most recently, he has worked at ICR Inc. and Northrop Grumman Corp, in support of government defense contracts. Prior to that, at Ralink Technology, he worked on development of a cost-reduced version of the 802.11b WLAN chipset. And earlier, at PC-TEL Inc., he worked on the maintenance and improvement of their V.92 software modem product. He also holds a U.S. Patent regarding dynamic block processing in soft-ware modems. He earned the B.A.Sc. degree at the University of Toronto, Canada in 1996, and M.S.E.E. and Ph.D. degrees at Santa Clara University, Santa Clara, California in 2007 and 2013, respectively. His research interests are in communica-tions system design and digital signal processing.

Tokunbo Ogunfunmi received the B.S. (first class honors) degree from Obafemi Awolowo University, Nigeria, and the M.S. and Ph.D. degrees from Stanford University, Stanford, California, all in Electrical Engineering. He is currently a Professor of Electrical and Computer Engineering and Director of the Information Processing and Machine Learning Research Laboratory at Santa Clara University (SCU), Santa Clara, California. From 2010-2014, he served as the Associate Dean for Research and Faculty Development for the SCU School of Engineering. At SCU, he teaches a variety of courses in circuits, systems, signal processing and related areas. His current research interests include machine learning, deep learning, speech and multimedia (audio, video) compression, digital and adaptive signal processing and applications and nonlinear signal processing. He has published three books and over 250 refereed journal and conference papers in these areas.

Recently Viewed