Recent Publications

Books

• Ogunfunmi, Tokunbo, Roberto Togneri and Narasimha, M.J. (Sim) (eds.), Speech and Audio Processing for Coding, Enhancement and Recognition; Book ID: 310948. ISBN 978-1-4939-1455-5, book published by Springer Publishers, 2015.
• Ogunfunmi, Tokunbo and Narasimha, M.J. (Sim), Principles of Speech Coding, book published by CRC Press, 2010.
• Ogunfunmi, Tokunbo and Narasimha, M.J. (Sim), Solutions Manual for Principles of Speech Coding, published by CRC Press, 2010.
• Ogunfunmi, Tokunbo, Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches, book published by Springer Publishers, 2007.

Select Book Chapters 

• Ogunfunmi, Tokunbo and Manas Deb, Markov Chain Monte Carlo in a Dynamical System of Information Theoretic Particles, book chapter in the book The Monte Carlo Methods – Recent Advances, New Perspectives and Applications, ISBN 978-1-83968-760-0, InTechOpen Publishers, September 2021.
• Ogunfunmi, Tokunbo, Adaptive Filtering Using Complex Data and Quaternions, book chapter in the Procedia Computer Science: Complex Adaptive Systems, Publication 5, published by Science Direct, Elsevier, August 2015
• Ogunfunmi, Tokunbo and Koji Seto, Scalable and MultiRate Speech Coding for VoIP Networks, book chapter in Speech and Audio Processing for Coding, Enhancement and Recognition; Book ID 310948; ISBN 978-1-4939-1455-5, Springer Publishers, 2015

Select Journals

• Ayoola, Joyce and Ogunfunmi, Tokunbo, A Comparative Analysis of Hybridized Genetic Algorithm in Predictive Models of Breast Cancer Tumors, IEEE Access journal, July 2023
• Anaam Ansari and Ogunfunmi, Tokunbo, Hardware Acceleration of a Generalized Fast 2D Convolution Method for Deep Neural Networks, IEEE Access journal, February 2022.
• Aman Singh and Ogunfunmi, Tokunbo, An Overview of Variational Autoencoders for Source Separation, Finance and Bio-Signal Applications, Entropy journal, 2022.
• Pavel Arnaudov and Ogunfunmi, Tokunbo, Dynamic Adaptive Search Fast Motion Estimation Algorithm for HD Video, Journal of Signal Processing Systems (JSPS), 2020.
• Vineet Panchbhaiyye and Ogunfunmi, Tokunbo, An Efficient FIFO-based accelerator for Convolutional Neural Networks (CNNs), Journal of Signal Processing Systems (JSPS), 2020 [Invited Paper].
• Ogunfunmi, Tokunbo and Safarian, Carlo, The Quaternion Stochastic Information Gradient Algorithm for Nonlinear Adaptive Systems, IEEE Transactions on Signal Processing, vol. 63, Issue 23 (2019) pp. 5909-5921.
• Seto, Koji and Ogunfunmi, Tokunbo, A scalable wideband speech codec using the wavelet packet transform based on the internet low bitrate codec, Computer Speech & Language journal vol. 54, pp. 61-70, https://doi.org/10.1016/j. csl.2018.09.001, (2019).
• Safarian, Carlo and  Ogunfunmi, Tokunbo, Quaternion Minimum Error Entropy Adaptive Algorithm with Fiducial Points for Nonlinear Adaptive Systems, Signal Processing (SIGPRO) journal vol. 163 pp. 188-200, (2019).
• Tokunbo Ogunfunmi, Ravi Ramachandran, Roberto Togneri, Brett Smolenski and Visar Berisha, Guest Editorial: Algorithms and Architectures for Machine Learning Based Speech Processing, Circuits, Systems and Signal Processing (CSSP) journal vol. 38 pp. 3399-3405, (2019).
• Tokunbo Ogunfunmi, Ravi Ramachandran, Roberto Togneri, Yuanjun Zhao and Xianjun Xia, A Primer on Deep Learning Architectures and Applications in Speech Processing, Circuits, Systems and Signal Processing (CSSP) journal vol. 38 pp. 3406-3432, (2019).
• Subbiah, Arul and Ogunfunmi, Tokunbo, A Flexible Hybrid BCH Decoder for Modern NAND Flash Memories Using General Purpose Graphical Processing Units (GPGPUs), Micromachines journal 10, 365; pp. 1-15, (2019).
• Arnaudov, Pavel and Ogunfunmi, Tokunbo, Artificially Intelligent Adaptive Search Fast Motion Estimation Algorithm for HD Video, Journal of Signal Processing Systems (JSPS), https://doi.org/10.1007/s11265-019-01466-5, (2019).
• Park, Jeoongsung and Ogunfunmi, Tokunbo, A 3D-DCT Video Encoder using Advanced Coding Techniques for Low Power Mobile Device, Journal of Visual Communication and Image Representation, (JVCI), vol. 48, No. 10, pp. 122-135, Oct. 2017.
• Paul, Thomas and Ogunfunmi, Tokunbo, A Kernel Adaptive Algorithm for Quaternion-Valued Inputs, IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No. 10, pp. 2422-2439, Oct. 2015.
• Paul, Thomas and Ogunfunmi, Tokunbo, The Quaternion Maximum Correntropy Algorithm, IEEE Transactions on Circuits and Systems-II, Vol. 62, No. 6, pp. 598-602, June 2015.
• Kozacky, Walter and Ogunfunmi, Tokunbo, Convergence Analysis of an Adaptive Algorithm with Output Power Constraints, IEEE Transactions on Circuits and Systems-II, Vol. 61, No. 5, pp. 364-367, May 2014.
• Ogunfunmi, Tokunbo, Geoffrey Herman and M. Rahman, On the Use of Concept Inventory for Circuits and Systems Courses, IEEE Circuits and Systems, Vol. 14, No. 3, pp. 12-26, Spring 2014.
• Seto, Koji and Ogunfunmi, Tokunbo, Scalable Speech Coding for Voice-over-IP Networks: Beyond iLBC, IEEE Transactions on Speech, Audio and Language Processing, Vol. 21, No. 11, pp. 2337-2345, Nov. 2013.
• Ogunfunmi, Tokunbo and Narasimha, M.J. (Sim), Speech Over VoIP Networks: Advanced Signal Processing and System Implementation, IEEE Circuits and Systems, Vol. 12, No. 2, pp. 35-55, Second Quarter, 2012.
• Park, Jeoong-Sung and Ogunfunmi, Tokunbo, Efficient FPGA-Based Implementation of MIMO-OFDM Physical Layers, Circuits, Systems and Signal Processing journal, Vol. 31, No. 4, pp. 1487-1511, April 2012.
• Paul, Thomas and Ogunfunmi, Tokunbo, On the Convergence Behavior of the Affine Projection Algorithm for Adaptive Filters, IEEE Transactions on Circuits and Systems-I, Vol. 58, No. 8, pp. 1813-1826, Aug. 2011.
• Ndili, Obianuju and Ogunfunmi, Tokunbo, Algorithm and Architecture Co-Design of Hardware-Oriented Modified Diamond Search for Fast Motion Estimation in H.264/AVC, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 21, No. 9, pp. 1214-1227, Sept. 2011.
• Ndili, Obianuju and Ogunfunmi, Tokunbo, FpSoC-Based Architecture for a Fast Motion Estimation Algorithm in H.264/AVC, EURASIP Journal on Embedded Systems, Article ID: 893897, 2009.
• Umoh, Ifiok and Ogunfunmi, Tokunbo, An Affine Projection-based adaptive algorithm for identification of nonlinear Hammerstein systems, Signal Processing (SIGPRO) journal, Dec. 2009.
• Paul, Thomas and Ogunfunmi, Tokunbo, Wireless LAN Comes of Age: Understanding the IEEE 802.11n Amendment, IEEE Circuits and Systems, vol. 8, No. 1, pp. 28-54, March 2008.

Select Conference Proceedings Papers

• Manas Deb and Ogunfunmi, Tokunbo, Information Channels of Deep Neural Networks, Proceedings of the IEEE Workshop on Machine Learning for Signal Processing (MLSP), Sept. 2023.
• Ivy Chung, Anoushka Gupta and Tokunbo Ogunfunmi, Remote Crop Disease Detection Using Deep Learning with IoT, Proceedings of the 2022 IEEE Global Humanitarian Conference (GHTC), Oct. 2022.
• Arul Subbiah and Tokunbo Ogunfunmi, Three-bit Fast Error Corrector for BCH Codes on GPUs, Proceedings of the IEEE International Conference on Consumer Electronics (ICCE), Jan. 2019.
• Arul Subbiah and Tokunbo Ogunfunmi, Fast BCH syndrome generator using parallel polynomial division algorithm for GPGPUs, Proceedings of the IEEE 6^th International Conference on Industrial Engineering and Applications (ICIEA), April 2019.
• Anaam Ansari and Tokunbo Ogunfunmi, Empirical Analysis of Fixed Point Precision Quantization of CNNs, Proceedings of the 2019 IEEE Midwest Symposium on Circuits and Systems (MWSCAS), Aug. 2019.
• Juliana Shihadeh, Anaam Ansari and Tokunbo Ogunfunmi, Deep Learning Based Image Classification for Remote Medical Diagnosis, Proceedings of the 2018 IEEE Global Humanitarian Conference (GHTC), Oct. 2018.
• Carlo Safarian and Tokunbo Ogunfunmi, Quaternion Kernel Normalized Minimum Error Entropy Adaptive Algorithms, Proceedings of the 2018 Asian Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference, 2018.
• Manas Deb and Tokunbo Ogunfunmi, On the PDF Estimation for Information Theoretic Learning for Neural Networks, Proceedings of the 2018 Asian Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference, 2018