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2020 – today
- 2024
[j38]Tiwalade O. Odu
, Moses O. Olaniyan, Tokunbo Ogunfunmi, Isaac A. Samuel, Joke A. Badejo, Aderemi A. Atayero:
Multi-Instance Contingent Fusion for the Verification of Infant Fingerprints. J. Electr. Comput. Eng. 2024: 7728707:1-7728707:10 (2024)- [c83]Anaam Ansari, Tokunbo Ogunfunmi:
A Multi-Stride Convolution Acceleration Algorithm for CNNs. ISCAS 2024: 1-5 - [c82]Tokunbo Ogunfunmi:
Exploration of Generative AI tools for an Electric Circuits Course. ISCAS 2024: 1-5 - 2023
- [j37]Kolawole S. Ogunba, Afeez A. Fakunle, Tokunbo Ogunfunmi, Oluwafemi Taiwo:
Extended Approach to Analytical Triangular Decoupling Internal Model Control of Square Stable Multivariable Systems With Delays and Right-Half-Plane Zeros. IEEE Access 11: 32201-32228 (2023) - [j36]Joyce Ayoola, Tokunbo Ogunfunmi:
A Comparative Analysis of Hybridized Genetic Algorithm in Predictive Models of Breast Cancer Tumors. IEEE Access 11: 87111-87119 (2023) - [c81]Simon K. Hinga, Tokunbo Ogunfunmi:
Path Loss Models in Dense Urban Areas: A study of Lagos Island, Nigeria. APCC 2023: 493-500 - [c80]Manas Deb, Tokunbo Ogunfunmi:
Information Channels of Deep Neural Networks. MLSP 2023: 1-6 - 2022
- [j35]Anaam Ansari, Tokunbo Ogunfunmi:
Hardware Acceleration of a Generalized Fast 2-D Convolution Method for Deep Neural Networks. IEEE Access 10: 16843-16858 (2022) - [j34]Aman Singh, Tokunbo Ogunfunmi:
An Overview of Variational Autoencoders for Source Separation, Finance, and Bio-Signal Applications. Entropy 24(1): 55 (2022) - [j33]Tokunbo Ogunfunmi:
Adaptive Signal Processing and Machine Learning Using Entropy and Information Theory. Entropy 24(10): 1430 (2022) - [c79]Simon K. Hinga, Oluwaseun T. Ajayi, Tokunbo Ogunfunmi:
Deep Learning-Based Path Loss Prediction Model for 5G mmWave. GHTC 2022: 114-120 - [c78]Joyce Ayoola, Tokunbo Ogunfunmi:
A Comparative Analysis of Regression Algorithms with Genetic Algorithm In The Prediction of Breast Cancer Tumors. GHTC 2022: 143-149 - [c77]Ivy Chung, Anoushka Gupta, Tokunbo Ogunfunmi:
Remote Crop Disease Detection Using Deep Learning with IoT. GHTC 2022: 353-360 - [c76]Tokunbo Ogunfunmi:
Overview of a new course on Autonomous Vehicle Systems. ISCAS 2022: 105-109 - [c75]Anaam Ansari, Allen Shelton, Tokunbo Ogunfunmi, Vineet Panchbhaiyye:
A Fast Compressed Hardware Architecture for Deep Neural Networks. ISCAS 2022: 370-374 - 2021
- [j32]Vineet Panchbhaiyye, Tokunbo Ogunfunmi:
An Efficient FIFO Based Accelerator for Convolutional Neural Networks. J. Signal Process. Syst. 93(10): 1117-1129 (2021) - 2020
- [j31]Pavel Arnaudov, Tokunbo Ogunfunmi:
Artificially Intelligent Adaptive Search Fast Motion Estimation Algorithm for HD Video. J. Signal Process. Syst. 92(4): 389-408 (2020) - [j30]Tokunbo Ogunfunmi, John McAllister, Bevan M. Baas, Mrityunjoy Chakraborty:
Guest Editorial: JSPS Special Issue on 2018 IEEE Signal Processing Systems (SiPS) Workshop. J. Signal Process. Syst. 92(10): 1039-1041 (2020) - [j29]Tokunbo Ogunfunmi, John McAllister, Bevan M. Baas, Mrityunjoy Chakraborty:
Correction to: Guest Editorial: JSPS Special Issue on 2018 IEEE Signal Processing Systems (SiPS) Workshop. J. Signal Process. Syst. 92(10): 1043 (2020) - [j28]Pavel Arnaudov, Tokunbo Ogunfunmi:
Dynamically Adaptive Fast Motion Estimation Algorithm for HD Video. J. Signal Process. Syst. 92(10): 1115-1131 (2020) - [c74]Allen Shelton, Tokunbo Ogunfunmi:
Developing a Deep Learning-enabled Guide for the Visually Impaired. GHTC 2020: 1-8 - [c73]Vineet Panchbhaiyye, Tokunbo Ogunfunmi:
A Fifo Based Accelerator for Convolutional Neural Networks. ICASSP 2020: 1758-1762 - [c72]Anaam Ansari, Tokunbo Ogunfunmi:
A Fast 2-D Convolution Technique for Deep Neural Networks. ISCAS 2020: 1-5
2010 – 2019
- 2019
- [j27]Koji Seto, Tokunbo Ogunfunmi:
A scalable wideband speech codec using the wavelet packet transform based on the internet low bitrate codec. Comput. Speech Lang. 54: 61-70 (2019) - [j26]Tokunbo Ogunfunmi, Ravi Prakash Ramachandran, Roberto Togneri, Brett Y. Smolenski, Visar Berisha:
Guest Editorial: Algorithms and Architectures for Machine Learning Based Speech Processing. Circuits Syst. Signal Process. 38(8): 3399-3405 (2019) - [j25]Tokunbo Ogunfunmi, Ravi Prakash Ramachandran, Roberto Togneri, Yuanjun Zhao, Xianjun Xia:
A Primer on Deep Learning Architectures and Applications in Speech Processing. Circuits Syst. Signal Process. 38(8): 3406-3432 (2019) - [j24]Carlo Safarian, Tokunbo Ogunfunmi:
The quaternion minimum error entropy algorithm with fiducial point for nonlinear adaptive systems. Signal Process. 163: 188-200 (2019) - [j23]Tokunbo Ogunfunmi, Carlo Safarian:
The Quaternion Stochastic Information Gradient Algorithm for Nonlinear Adaptive Systems. IEEE Trans. Signal Process. 67(23): 5909-5921 (2019) - [c71]Arul K. Subbiah, Tokunbo Ogunfunmi:
Three-bit fast error corrector for BCH codes on GPUs. ICCE 2019: 1-4 - [c70]Anaam Ansari, Tokunbo Ogunfunmi:
Empirical Analysis of Fixed Point Precision Quantization of CNNs. MWSCAS 2019: 243-246 - 2018
- [c69]Anaam Ansari, Tokunbo Ogunfunmi:
Elasto-Net: An HDL Conversion Framework For Convolutional Neural Networks. ACSSC 2018: 787-791 - [c68]Carlo Safarian, Tokunbo Ogunfunmi:
Quaternion Kernel Normalized Minimum Error Entropy Adaptive Algorithms. APSIPA 2018: 572-578 - [c67]Tokunbo Ogunfunmi, Manas Deb:
On the PDF Estimation for Information Theoretic Learning for Neural Networks. APSIPA 2018: 1215-1221 - [c66]Vineet Panchbhaiyye, Tokunbo Ogunfunmi:
Experimental Results on Using Deep Learning to Identify Agricultural Pests. GHTC 2018: 1-2 - [c65]Juliana Shihadeh, Anaam Ansari, Tokunbo Ogunfunmi:
Deep Learning Based Image Classification for Remote Medical Diagnosis. GHTC 2018: 1-8 - [c64]Tokunbo Ogunfunmi, Carlo Safarian:
A Quaternion Kernel Minimum Error Entropy Adaptive Filter. ICASSP 2018: 4149-4153 - [c63]Arul K. Subbiah, Tokunbo Ogunfunmi:
Area-effcient re-encoding scheme for NAND Flash Memory with multimode BCH Error correction. ISCAS 2018: 1-5 - [c62]Anaam Ansari, Tokunbo Ogunfunmi:
Selective Data Transfer from DRAMs for CNNs. SiPS 2018: 7-12 - [c61]Arul K. Subbiah, Tokunbo Ogunfunmi:
Memory-efficient Error Correction Scheme for Flash Memories using GPU. SiPS 2018: 118-122 - [c60]Pavel Arnaudov, Tokunbo Ogunfunmi:
Raster Search Resolution Analysis for Fast Motion Estimation in HD Video Compression. SiPS 2018: 306-311 - 2017
- [j22]Jeoong Sung Park, Tokunbo Ogunfunmi:
A 3D-DCT video encoder using advanced coding techniques for low power mobile device. J. Vis. Commun. Image Represent. 48: 122-135 (2017) - [c59]Pavel Arnaudov, Tokunbo Ogunfunmi:
Adaptive search pattern for fast motion estimation in HD video. ACSSC 2017: 173-177 - [c58]Manas Deb, Tokunbo Ogunfunmi:
Using information theoretic learning techniques to train neural networks. ACSSC 2017: 351-355 - [c57]Thomas K. Paul, Tokunbo Ogunfunmi:
On quaternion kernel adaptive filtering of nonwhite, noncircular, and non-Gaussian inputs. ACSSC 2017: 825-828 - [c56]Anaam Ansari, Kiran K. Gunnam, Tokunbo Ogunfunmi:
An efficient reconfigurable hardware accelerator for convolutional neural networks. ACSSC 2017: 1337-1341 - [c55]Avinash Changavi, Tokunbo Ogunfunmi:
On the performance of the BLMS adaptive filter based on distributed arithmetic. AFRICON 2017: 377-383 - [c54]Natalie Arrizon, Jose Hernandez, Tokunbo Ogunfunmi, Antonio Maldonado-Liu, Alejandra Pacheco, Unyoung Kim:
Vital sensor kit for use with telemedicine in developing countries. GHTC 2017: 1-5 - [c53]Xiaoting Liu, Kyle Takeuchi, Tokunbo Ogunfunmi, Shivakumar Mathapathi:
Video-based IoT baby monitor for SIDS prevention. GHTC 2017: 1-7 - [c52]Pavel Arnaudov, Tokunbo Ogunfunmi:
An Enhanced fractional Motion Estimation algorithm for HD video. ICCE 2017: 221-222 - [c51]Arul K. Subbiah, Tokunbo Ogunfunmi:
Frequency-domain based Reed Solomon decoders for GPU. ICCE 2017: 352-354 - [c50]Pavel Arnaudov, Tokunbo Ogunfunmi:
A CAM enabled fast video motion estimation based on locality sensitive signatures. ISCAS 2017: 1-4 - 2016
- [c49]Akshata Tapashetti, Divya Vegiraju, Tokunbo Ogunfunmi:
IoT-enabled air quality monitoring device: A low cost smart health solution. GHTC 2016: 682-685 - [c48]Arul K. Subbiah, Tokunbo Ogunfunmi:
Efficient implementation of BCH decoders on GPU for flash memory devices using iBMA. ICCE 2016: 275-278 - [c47]Tokunbo Ogunfunmi, Koji Seto:
On the use of discrete wavelet transform for robust scalable speech coding. ISCAS 2016: 766-769 - [c46]Pavel Arnaudov, Tokunbo Ogunfunmi:
Architecture and Implementation of a Simplified Locality Sensitive Hashed Signatures Based Fast Motion Estimation Algorithm. SiPS 2016: 11-16 - 2015
- [j21]Tokunbo Ogunfunmi, Thomas K. Paul:
The Quarternion Maximum Correntropy Algorithm. IEEE Trans. Circuits Syst. II Express Briefs 62-II(6): 598-602 (2015) - [j20]Thomas K. Paul, Tokunbo Ogunfunmi:
A Kernel Adaptive Algorithm for Quaternion-Valued Inputs. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2422-2439 (2015) - [c45]Tokunbo Ogunfunmi:
Adaptive Filtering Using Complex Data and Quaternions. Complex Adaptive Systems 2015: 334-340 - [c44]Carlo Safarian, Tokunbo Ogunfunmi, Walter J. Kozacky, Basant K. Mohanty:
FPGA implementation of LMS-based FIR adaptive filter for real time digital signal processing applications. DSP 2015: 1251-1255 - [c43]Walter J. Kozacky, Tokunbo Ogunfunmi:
Efficient DSP implementation of an adaptive line enhancer based on the convex combination of two IIR filters. DSP 2015: 1256-1260 - 2014
- [j19]Walter J. Kozacky, Tokunbo Ogunfunmi:
A cascaded IIR-FIR adaptive ANC system with output power constraints. Signal Process. 94: 456-464 (2014) - [j18]Walter J. Kozacky, Tokunbo Ogunfunmi:
Convergence Analysis of an Adaptive Algorithm With Output Power Constraints. IEEE Trans. Circuits Syst. II Express Briefs 61-II(5): 364-367 (2014) - [j17]Obianuju Ndili, Tokunbo Ogunfunmi:
Fast Algorithm and Efficient Architecture for Integer and Fractional Motion Estimation. J. Signal Process. Syst. 75(1): 55-64 (2014) - [c42]Koji Seto, Tokunbo Ogunfunmi:
Performance enhanced scalable wideband speech coding for IP networks. ACSSC 2014: 833-837 - [c41]Walter J. Kozacky, Tokunbo Ogunfunmi:
An adaptive line enhancer based on the convex combination of two IIR filters. ICASSP 2014: 5492-5496 - [c40]Koji Seto, Tokunbo Ogunfunmi:
Packet-loss robust scalable speech coding using the discrete wavelet transform. ISCAS 2014: 129-132 - [c39]Mahmudur Rahman, Md A. Sattar, Norman G. Gunther, Tokunbo Ogunfunmi:
A novel pedagogical method for Integrated Circuit and systems education using the Variational Thermodynamic principle. ISCAS 2014: 2417-2420 - [c38]Ifiok J. Umoh, Tokunbo Ogunfunmi:
Digital post-distortion linearization of wideband wireless receiver nonlinearity. MWSCAS 2014: 431-434 - 2013
- [j16]Walter J. Kozacky, Tokunbo Ogunfunmi:
An active noise control algorithm with gain and power constraints on the adaptive filter. EURASIP J. Adv. Signal Process. 2013: 17 (2013) - [j15]Koji Seto, Tokunbo Ogunfunmi:
Scalable Speech Coding for IP Networks: Beyond iLBC. IEEE Trans. Speech Audio Process. 21(11): 2337-2345 (2013) - [j14]Thomas K. Paul, Tokunbo Ogunfunmi:
Study of the Convergence Behavior of the Complex Kernel Least Mean Square Algorithm. IEEE Trans. Neural Networks Learn. Syst. 24(9): 1349-1363 (2013) - [c37]Jeoong Sung Park, Tokunbo Ogunfunmi:
A new VLSI architecture for 3D-DCT video compression system. SiPS 2013: 135-140 - 2012
- [j13]Jeoong Sung Park, Tokunbo Ogunfunmi:
Efficient FPGA-Based Implementations of MIMO-OFDM Physical Layer. Circuits Syst. Signal Process. 31(4): 1487-1511 (2012) - [c36]Koji Seto, Tokunbo Ogunfunmi:
Scalable wideband speech coding for IP networks. ACSCC 2012: 77-81 - [c35]Tokunbo Ogunfunmi:
Session TP7b: Speech processing and speech recognition (invited). ACSCC 2012: 1607-1608 - [c34]Tokunbo Ogunfunmi, Thomas K. Paul:
An alternative kernel adaptive filtering algorithm for quaternion-valued data. APSIPA 2012: 1-5 - [c33]Koji Seto, Tokunbo Ogunfunmi:
Scalable multi-rate iLBC. ISCAS 2012: 1034-1037 - [c32]Arjuna Madanayake, Chamith Wijenayake, Rimesh M. Joshi, Jim Grover, Joan Carletta, Jay L. Adams, Tom T. Hartley, Tokunbo Ogunfunmi:
Teaching freshmen VHDL-based digital design. ISCAS 2012: 2701-2704 - [c31]Thomas K. Paul, Tokunbo Ogunfunmi:
Analysis of the convergence behavior of the complex Gaussian kernel LMS algorithm. ISCAS 2012: 2761-2764 - [c30]Tokunbo Ogunfunmi, David Hardell:
Linear-prediction whitening with convex combining in constant modulus equalizers. ISCAS 2012: 3214-3217 - [c29]Tokunbo Ogunfunmi, Obianuju Ndili, Pavel Arnaudov:
On Low Power Fractional Motion Estimation Algorithms for H.264. SiPS 2012: 103-108 - 2011
- [j12]Thomas K. Paul, Tokunbo Ogunfunmi:
On the Convergence Behavior of the Affine Projection Algorithm for Adaptive Filters. IEEE Trans. Circuits Syst. I Regul. Pap. 58-I(8): 1813-1826 (2011) - [j11]Obianuju Ndili, Tokunbo Ogunfunmi:
Algorithm and Architecture Co-Design of Hardware-Oriented, Modified Diamond Search for Fast Motion Estimation in H.264/AVC. IEEE Trans. Circuits Syst. Video Technol. 21(9): 1214-1227 (2011) - [c28]Koji Seto, Tokunbo Ogunfunmi:
Performance enhanced multi-rate iLBC. ACSCC 2011: 590-594 - [c27]Tokunbo Ogunfunmi:
Analysis of assessment using signals, systems concept inventory for systems courses. ISCAS 2011: 595-598 - [c26]Jeoong Sung Park, Tokunbo Ogunfunmi:
FPGA implementation of channel estimation for MIMO-OFDM. ISCAS 2011: 705-708 - [c25]Tokunbo Ogunfunmi, Thomas K. Paul:
On the complex Kernel-based adaptive filter. ISCAS 2011: 1263-1266 - [c24]Jarlath Ifiok Umoh, Tokunbo Ogunfunmi:
Digital post-linearization of a Wideband Low Noise Amplifier for ultra-wideband wireless receivers. ISCAS 2011: 1275-1278 - 2010
- [j10]Jarlath Ifiok Umoh, Tokunbo Ogunfunmi:
An affine projection-based algorithm for identification of nonlinear Hammerstein systems. Signal Process. 90(6): 2020-2030 (2010) - [c23]Obianuju Ndili, Tokunbo Ogunfunmi:
Hardware-oriented Modified Diamond Search for motion estimation in H.246/AVC. ICIP 2010: 749-752 - [c22]Jeoong Sung Park, Tokunbo Ogunfunmi:
FPGA implementation of the MIMO-OFDM physical layer using single FFT multiplexing. ISCAS 2010: 2682-2685 - [c21]Tokunbo Ogunfunmi, Mahmudur Rahman:
A concept inventory for an Electric Circuits course : Rationale and fundamental topics. ISCAS 2010: 2804-2807 - [c20]Mahmudur Rahman, Tokunbo Ogunfunmi:
A set of questions for a concept inventory for a DC Circuits course. ISCAS 2010: 2808-2811
2000 – 2009
- 2009
- [j9]Thomas K. Paul, Tokunbo Ogunfunmi:
Evolution, insights and challenges of the PHY layer for the emerging ieee 802.11n amendment. IEEE Commun. Surv. Tutorials 11(4): 131-150 (2009) - [j8]Jarlath Ifiok Umoh, Tokunbo Ogunfunmi:
An Adaptive Nonlinear Filter for System Identification. EURASIP J. Adv. Signal Process. 2009 (2009) - [j7]Obianuju Ndili, Tokunbo Ogunfunmi:
FPSoC-Based Architecture for a Fast Motion Estimation Algorithm in H.264/AVC. EURASIP J. Embed. Syst. 2009 (2009) - [j6]Tokunbo Ogunfunmi, Thomas K. Paul:
Analysis of Convergence of a Frequency-Domain LMS Adaptive Filter Implemented as a Multi-Stage Adaptive Filter. J. Signal Process. Syst. 56(2-3): 341-350 (2009) - [c19]Jeoong Sung Park, Tokunbo Ogunfunmi:
A new hardware implementation of the H.264 8×8 transform and quantization. ICASSP 2009: 585-588 - [c18]Walter J. Kozacky, Tokunbo Ogunfunmi:
A Frequency Domain Adaptive Filter Algorithm with Constraints on the Output Weights. ISCAS 2009: 2053-2056 - 2008
- [c17]Ifiok J. Umoh, Tokunbo Ogunfunmi:
An adaptive algorithm for hammerstein filter system identification. EUSIPCO 2008: 1-5 - 2007
- [j5]Obianuju Ndili, Tokunbo Ogunfunmi:
Achieving Maximum Possible Speed on Constrained Block Transmission Systems. EURASIP J. Adv. Signal Process. 2007 (2007) - [c16]Obianuju Ndili, Tokunbo Ogunfunmi:
Achieving Maximum Possible Download Speed on ADSL Systems. SiPS 2007: 407-411 - 2006
- [c15]Tokunbo Ogunfunmi, Hamadi Jamali:
Performance bounds on the constant modulus error surface. ISCAS 2006 - [c14]Jarlath Ifiok Umoh, Tokunbo Ogunfunmi:
Lower bounds for the MSE convergence of APA. ISCAS 2006 - [c13]Jarlath Ifiok Umoh, Tokunbo Ogunfunmi:
Semi-Blind Channel Estimation for OFDM using Least Squares. SiPS 2006: 161-164 - [c12]Tokunbo Ogunfunmi, Thomas K. Paul:
On the Convergence of the Frequency-Domain LMS Adaptive Filter using LMS-DFT. SiPS 2006: 313-320 - 2005
- [c11]Xiaosong Wang, Tokunbo Ogunfunmi:
Error resilient multiplexed coding with RVLC. EUSIPCO 2005: 1-4 - [c10]Tokunbo Ogunfunmi:
Realizing higher-order nonlinear Wiener adaptive systems [Wiener filter example]. ISCAS (3) 2005: 2843-2846 - [c9]Tokunbo Ogunfunmi, W. C. Huang:
A flexible macroblock ordering with 3D MBAMAP for H.264/AVC. ISCAS (4) 2005: 3475-3478 - 2003
- [c8]Hamadi Jamali, Tokunbo Ogunfunmi:
Constant modulus performance search using LMS method. ICASSP (6) 2003: 93-96 - [c7]Tokunbo Ogunfunmi:
Third Order Nonlinear Wiener Adaptive Filtering for Non-Gaussian Inputs. SIP 2003: 517-521 - 2002
- [j4]Hamadi Jamali, Tokunbo Ogunfunmi:
Stationary points of the finite length constant modulus optimization. Signal Process. 82(4): 625-641 (2002) - 2001
- [c6]Tokunbo Ogunfunmi, Hamadi Jamali:
Constant modulus performance search using Newton's method. ICASSP 2001: 2165-2168
1990 – 1999
- 1999
- [j3]Wanda W. Zhao, Tokunbo Ogunfunmi:
Formant and Pitch Detection Using Time-Frequency Distribution. Int. J. Speech Technol. 3(1): 35-49 (1999) - [j2]Chen-Wei Jeff Shih, Nam Ling, Tokunbo Ogunfunmi:
Memory reduction by Haar wavelet transform for MPEG decoder. IEEE Trans. Consumer Electron. 45(3): 867-873 (1999) - [c5]Shue-Lee Chang, Tokunbo Ogunfunmi:
Performance analysis of third-order nonlinear Wiener adaptive systems. ICASSP 1999: 1689-1692 - [c4]Chen-Wei Jeff Shih, Tokunbo Ogunfunmi, Nam Ling:
Wavelet-based embedded memory reduction for MPEG decoder. MMSP 1999: 327-332 - 1997
- [j1]Debra J. Worsley, Tokunbo Ogunfunmi:
Isochronous Ethernet - An ATM Bridge for Multimedia Networking. IEEE Multim. 4(1): 58-67 (1997) - [c3]Cuong Pham, Tokunbo Ogunfunmi:
On the recursive total least-squares. ICASSP 1997: 1989-1992 - 1994
- [c2]Tokunbo Ogunfunmi, Zhuobin Chen:
Neural network algorithms based on the QR decomposition method of least squares. ICASSP (3) 1994: 493-496 - 1990
- [c1]Tokunbo Ogunfunmi, Allen M. Peterson:
Alternative implementations for the frequency-domain LMS adaptive filter. ICASSP 1990: 1441-1444
Coauthor Index
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