Dictionary selection for Compressed Sensing of EEG signals using sparse binary matrix and spatiotemporal sparse Bayesian learning

Article


Dey, M., Shiraz, A., Sharif, S., Lota, J. and Demosthenous, A. 2020. Dictionary selection for Compressed Sensing of EEG signals using sparse binary matrix and spatiotemporal sparse Bayesian learning. Biomedical Physics and Engineering Express. 6 (Art. 065024). https://doi.org/10.1088/2057-1976/abc133
AuthorsDey, M., Shiraz, A., Sharif, S., Lota, J. and Demosthenous, A.
Abstract

Online monitoring of electroencephalogram (EEG) signals is challenging due to the high volume of data and power requirements. Compressed sensing (CS) may be employed to address these issues. Compressed sensing using sparse binary matrix, owing to its low power features, and reconstruction/decompression using spatiotemporal sparse Bayesian learning have been shown to constitute a robust framework for fast, energy efficient and accurate multichannel bio-signal monitoring. EEG signal, however, does not show a strong temporal correlation. Therefore, the use of sparsifying dictionaries has been proposed to exploit the sparsity in a transformed domain instead. Assuming sparsification adds values, a challenge, therefore, in employing this CS framework for the EEG signal is to identify the suitable dictionary. Using real multichannel EEG data from 15 subjects, in this paper, we systematically evaluated the performance of the framework when using various wavelet bases while considering their key attributes of number of vanishing moments and coherence with sensing matrix. We identified Beylkin as the wavelet dictionary leading to the best performance. Using the same dataset, we then compared the performance of Beylkin with discrete cosine basis, often used in the literature, and the case of using no sparsifying dictionary. We further demonstrate that using dictionaries (Beylkin and DCT) may improve performance tangibly only for a high compression ratio (CR) of 80% and with smaller block sizes; as compared to when using no dictionaries.

JournalBiomedical Physics and Engineering Express
Journal citation6 (Art. 065024)
ISSN2057-1976
Year2020
PublisherIOP Publishing Ltd.
Accepted author manuscript
License
File Access Level
Repository staff only
Publisher's version
License
File Access Level
Anyone
Digital Object Identifier (DOI)https://doi.org/10.1088/2057-1976/abc133
Publication dates
Online29 Oct 2020
Publication process dates
Accepted14 Oct 2020
Deposited20 Oct 2020
Copyright holder© 2020 The Authors
Permalink -

https://repository.uel.ac.uk/item/88992

Download files


Publisher's version
Dey_2020_Biomed._Phys._Eng._Express_6_065024.pdf
License: CC BY 4.0
File access level: Anyone

  • 156
    total views
  • 80
    total downloads
  • 2
    views this month
  • 2
    downloads this month

Export as

Related outputs

Low Power Analog Processing for Ultra-High-Speed Receivers with RF Correlation
Lota, J. and Demosthenous, A. 2023. Low Power Analog Processing for Ultra-High-Speed Receivers with RF Correlation. IEEE Access. 11, pp. 37944-37957. https://doi.org/10.1109/ACCESS.2023.3253042
An Effective Random Generalised Linear Model to Predict COPD
Saraireh, L., Sharif, S. and Alsallal, M. 2022. An Effective Random Generalised Linear Model to Predict COPD. 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2022). Bahrain, University of Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990712
Digital Data Extraction for Vehicles Forensic Investigation
Stathers, C., Muhammad, M., Fasanmade, A., Al-Bayatti, A., Morden, J. and Sharif, S. 2022. Digital Data Extraction for Vehicles Forensic Investigation. 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2022). Bahrain, University of Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990620
An Effective Galaxy Classification Using Fractal Analysis and Neural Network
Radhamani, P. S., Sharif, S. and Elmedany, W. 2022. An Effective Galaxy Classification Using Fractal Analysis and Neural Network. 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2022). Bahrain, University of Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990776
Evaluating the Stressful Commutes Using Physiological Signals and Machine Learning Techniques
Sharif, S., Theeng Tamang, M. and Fu, C. 2022. Evaluating the Stressful Commutes Using Physiological Signals and Machine Learning Techniques. 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2022). Bahrain, University of Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990849
Effective Machine Learning Based Techniques for Predicting Depression
Sharif, S., Zorto, A., Kareem, A. T. and Hafidh, R. 2022. Effective Machine Learning Based Techniques for Predicting Depression. 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2022). Bahrain, University of Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990824
Enhancement Techniques for Improving Facial Recognition Performance in Convolutional Neural Networks
Sharif, S., Olusegun, M., Zorto, A. and Elmedany, W. 2022. Enhancement Techniques for Improving Facial Recognition Performance in Convolutional Neural Networks. 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2022). Bahrain, University of Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990811
mmWave V2V Localization in MU-MIMO Hybrid Beamforming
Lota, J., Ju, S., Kanhere, O., Rappaport, T. S. and Demosthenous, A. 2022. mmWave V2V Localization in MU-MIMO Hybrid Beamforming. IEEE Open Journal of Vehicular Technology. 3, pp. 210-220. https://doi.org/10.1109/OJVT.2022.3170522
A Mixed Reality Approach for dealing with the Video Fatigue of Online Meetings
Wall, J., Poobalasingam, V., Sharif, S., Moniri, M., Glackin, C. and Cannings, N. 2022. A Mixed Reality Approach for dealing with the Video Fatigue of Online Meetings. 7th International XR Conference. Lisbon, Portugal 27 - 29 Apr 2022
Predicting the Health Impacts of Commuting Using EEG Signal Based on Intelligent Approach
Sharif, S., Theeng Tamang, M. and Fu, C. 2021. Predicting the Health Impacts of Commuting Using EEG Signal Based on Intelligent Approach. 3ICT 2021: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. Bahrain, University of Bahrain 29 - 30 Sep 2021 IEEE. https://doi.org/10.1109/3ICT53449.2021.9582119
An Effective Hybrid Approach Based on Machine Learning Techniques for Auto-Translation: Japanese to English
Sharif, S., Auwal, B., Maltby, H. and Al-Bayatti, A. 2021. An Effective Hybrid Approach Based on Machine Learning Techniques for Auto-Translation: Japanese to English. 3ICT 2021: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. Bahrain, University of Bahrain 29 - 30 Sep 2021 IEEE. https://doi.org/10.1109/3ICT53449.2021.9581629
An Effective Cost-Sensitive Convolutional Neural Network for Network Traffic Classification
Sharif, S. and Moein, M. 2021. An Effective Cost-Sensitive Convolutional Neural Network for Network Traffic Classification. 3ICT 2021: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. Bahrain, University of Bahrain 29 - 30 Sep 2021 IEEE. https://doi.org/10.1109/3ICT53449.2021.9581789
Defeating the Credit Card Scams Through Machine Learning Algorithms
Bains, K., Fasanmade, A., Morden, J., Al-Bayatti, A. H., Sharif, S. and Alfakeeh, A. S. 2021. Defeating the Credit Card Scams Through Machine Learning Algorithms. 3ICT 2021: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. Bahrain, University of Bahrain 29 - 30 Sep 2021 IEEE. https://doi.org/10.1109/3ICT53449.2021.9582060
An Effective Knowledge-Based Modeling Approach towards a “Smart-School Care Coordination System” for Children and Young People with Special Educational Needs and Disabilities
Hafidh, R., Sharif, S., Al-Bayatti, A. H., Alfakeeh, A. S., Alassafi, M. O. and Alqarni, M. A. 2020. An Effective Knowledge-Based Modeling Approach towards a “Smart-School Care Coordination System” for Children and Young People with Special Educational Needs and Disabilities. Symmetry. 12 (Art. 1495). https://doi.org/10.3390/sym12091495
SmartDR: A Device-to-Device Communication for Post-Disaster Recovery
Hossain, Md A., Ray, S. K. and Lota, J. 2020. SmartDR: A Device-to-Device Communication for Post-Disaster Recovery. Journal of Network and Computer Applications. 171 (Art. 102813). https://doi.org/10.1016/j.jnca.2020.102813
A Machine-Learning-Based Approach to Predict the Health Impacts of Commuting in Large Cities: Case Study of London
Raj Theeng Tamang, M., Sharif, M. S., Al-Bayatti, A. H., Alfakeeh, A. S. and Omar Alsayed, A. 2020. A Machine-Learning-Based Approach to Predict the Health Impacts of Commuting in Large Cities: Case Study of London. Symmetry. 12 (Art. 866). https://doi.org/10.3390/sym12050866
Semantic-Based Process Mining Technique for Annotation and Modelling of Domain Processes
Okoye, K., Islam, S., Naeem, U. and Sharif, S. 2020. Semantic-Based Process Mining Technique for Annotation and Modelling of Domain Processes. International Journal of Innovative Computing, Information and Control. 16 (3), pp. 899-921. https://doi.org/10.24507/ijicic.16.03.899
Positron emission tomography PET/CT harmonisation study of different clinical PET/CT scanners using commercially available software
Lowe, G., Spottiswoode, B., Declerck, J., Sullivan,, K., Sharif, S., Wong, W. and Sanghera, B. 2020. Positron emission tomography PET/CT harmonisation study of different clinical PET/CT scanners using commercially available software. BJR Open. 2 (Art. 20190035). https://doi.org/10.1259/bjro.20190035
An Accurate Ensemble Classifier for Medical Volume Analysis: Phantom and Clinical PET Study
Sharif, S., Abbod, M., Al-Bayatti, A., Amira, A., Alfakeeh, A. and Sanghera, B. 2020. An Accurate Ensemble Classifier for Medical Volume Analysis: Phantom and Clinical PET Study. IEEE Access. 8, pp. 37482-37494. https://doi.org/10.1109/ACCESS.2020.2975135
Low Computational Sensing with Goertzel Filtering for Mobile Industrial IoT Devices
Lota, J. and Demosthenous, A. 2020. Low Computational Sensing with Goertzel Filtering for Mobile Industrial IoT Devices. ISCAS 2020: IEEE International Symposium on Circuits & Systems. Virtual Event 10 - 21 Oct 2020 IEEE. https://doi.org/10.1109/ISCAS45731.2020.9180896
Compressive Sensing with Low-Power Transfer and Accurate Reconstruction of EEG Signals
Dey, M. 2019. Compressive Sensing with Low-Power Transfer and Accurate Reconstruction of EEG Signals. PhD Thesis University of East London School of Architecture, Computing and Engineering https://doi.org/10.15123/uel.88181
Variance Ranking for Multi-Classed Imbalanced Datasets: A Case Study of One-Versus-All
Ebenuwa, S., Sharif, S., Al-Nemrat, A., Al-Bayatti, A. H., Alalwan, N., Alzahrani, A. I. and Alfarraj, O. 2019. Variance Ranking for Multi-Classed Imbalanced Datasets: A Case Study of One-Versus-All. Symmetry. 11 (Art. 1504). https://doi.org/10.3390/sym11121504
Policy-Based Security Management System for 5G Heterogeneous Networks
Alquhayz, H., Alalwan, N., Alzahrani, A. I., Al-Bayatti, A. H. and Sharif, S. 2019. Policy-Based Security Management System for 5G Heterogeneous Networks. Wireless Communications and Mobile Computing. 2019 (Art. 4582391). https://doi.org/10.1155/2019/4582391
A Framework for Augmented Reality Based Shared Experiences
Ali, A., Glackin, C., Cannings, N., Wall, J., Sharif, S. and Moniri, M. 2019. A Framework for Augmented Reality Based Shared Experiences. Immersive Learning Research Network - iLRN. London, UK 23 - 27 Jun 2019 Technischen Universität Graz. https://doi.org/10.3217/978-3-85125-657-4-24
A Deep Learning Based Suggested Model to Detect Necrotising Enterocolitis in Abdominal Radiography Images
Van Druten, J., Sharif, S., Chan, S. S., Chong, C. and Abdalla, H. 2019. A Deep Learning Based Suggested Model to Detect Necrotising Enterocolitis in Abdominal Radiography Images. IEEE International Conference on Computing, Electronics & Communications Engineering 2019 (IEEE iCCECE '19) . London Metropolitan University, London, UK 22 - 23 Aug 2019 IEEE. https://doi.org/10.1109/iCCECE46942.2019.8941615
Context-Aware Driver Distraction Severity Classification using LSTM Network
Fasanmade, A., Aliyu, S., He, Y., Al-Bayatti, A. H., Sharif, S. and Alfakeeh, A. S. 2019. Context-Aware Driver Distraction Severity Classification using LSTM Network. IEEE International Conference on Computing, Electronics & Communications Engineering 2019 (IEEE iCCECE '19) . London Metropolitan University, London, UK 22 - 23 Aug 2019 IEEE. pp. 147-152 https://doi.org/10.1109/iCCECE46942.2019.8941966
Predicting the Standard and Deviant Patterns In EEG Signals Based On Deep Learning Model
Sharif, S., Al-Bayatti, A. H. and Alfakeeh, A. S. 2019. Predicting the Standard and Deviant Patterns In EEG Signals Based On Deep Learning Model. IEEE International Conference on Computing, Electronics & Communications Engineering 2019 (IEEE iCCECE '19) . London Metropolitan University, London, UK 22 - 23 Aug 2019 IEEE. https://doi.org/10.1109/iCCECE46942.2019.8941730
Effect of PET Image Reconstruction Techniques on Unexpected Aorta Uptake
Hirji, H., Sullivan, K., Lasker, I., Sharif, S., Nunes, A., Shepherd, C., Wong, W. and Sanghera, B. 2019. Effect of PET Image Reconstruction Techniques on Unexpected Aorta Uptake. Molecular Imaging and Radionuclide Therapy. 28 (1), pp. 1-7. https://doi.org/10.4274/mirt.galenos.2018.88528
Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data
Ebenuwa, S., Sharif, M., Alazab, Mamoun and Al-Nemrat, A. 2019. Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data. IEEE Access. 7, pp. 24649-24666. https://doi.org/10.1109/ACCESS.2019.2899578
Medical data analysis based on Nao robot: An automated approach towards robotic real-time interaction with human body
Sharif, M. and Alsibai, Mohammed Hayyan 2018. Medical data analysis based on Nao robot: An automated approach towards robotic real-time interaction with human body. in: 2017 7th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) IEEE. pp. 91-96
A Proposed Machine Learning Based Collective Disease Model to Enable Predictive Diagnostics in Necrotising Enterocolitis
van Druten, Jacqueline, Sharif, M., Khashu, Minesh and Abdalla, H. 2019. A Proposed Machine Learning Based Collective Disease Model to Enable Predictive Diagnostics in Necrotising Enterocolitis. in: Miraz, Mahdi H., Exce, Peter S., Jones, Andrew, Soomro, Safeeullah and Ali, Maaruf (ed.) Proceedings 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE) IEEE. pp. 101-106
A Machine Learning Techniques to Detect Counterfeit Medicine Based on X-Ray Fluorescence Analyser
Alsallal, Muna, Sharif, M., Al-Ghzawi, Baydaa and al Mutoki, Sabah Mohammed Mlkat 2019. A Machine Learning Techniques to Detect Counterfeit Medicine Based on X-Ray Fluorescence Analyser. in: Miraz, Mahdi H., Excell, Peter S., Jones, Andrew, Soomro, Safeeullah and Ali, Maaruf (ed.) Proceedings 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE) IEEE. pp. 118-122
An Innovative EPW Design Using Add-on Features to Meet Malaysian Requirements
Alsibai, Mohammed Hayyan, Sharif, M., Yaakub, Salma and Hamran, Nurul Nadia Nor 2018. An Innovative EPW Design Using Add-on Features to Meet Malaysian Requirements. in: Proceedings of the 7th IEEE International Conference on Control Systems, Computing and Engineering (ICCSCE 2017) IEEE. pp. 180-185
An Effective TeleHealth Assistive System to Support Senior Citizen at Home or Care-Homes
Sharif, M., Alsallal, Muna and Herghelegiu, Lucian 2018. An Effective TeleHealth Assistive System to Support Senior Citizen at Home or Care-Homes. IEEE International Conference on Computing, Electronics & Communications Engineering 2018 (iCCECE '18). Southend, UK 16 - 17 Aug 2018 IEEE. pp. 113-117 https://doi.org/10.1109/iCCECOME.2018.8658877
Functional Connectivity Evaluation for Infant EEG Signals based on Artificial Neural Network
Sharif, M., Naeem, U., Islam, S. and Karami, A. 2018. Functional Connectivity Evaluation for Infant EEG Signals based on Artificial Neural Network. Arai, Kohei, Kapoor, Supriya and Bhatia, Rahul (ed.) Intelligent Systems Conference (IntelliSys) 2018. London, UK 06 - 07 Sep 2018 Springer, Cham. https://doi.org/10.1007/978-3-030-01057-7_34
The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain
Okoye, Kingsley, Islam, S., Naeem, U., Sharif, M., Azam, Muhammad Awais and Karami, A. 2018. The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain. Arai, Kohei, Kapoor, Supriya and Bhatia, Rahul (ed.) Intelligent Systems Conference (IntelliSys) 2018. London, UK 06 - 07 Sep 2018 Springer, Cham. https://doi.org/10.1007/978-3-030-01054-6_96
Taskification – Gamification of Tasks
Naeem, U., Islam, S., Sharif, M., Sudakov, Sergey and Azam, Awais 2017. Taskification – Gamification of Tasks. in: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers ACM. pp. 631-634
SignalSense - Towards Quality Service
Islam, S., Sharif, M., Naeem, U. and Geehan, James 2017. SignalSense - Towards Quality Service. in: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers ACM. pp. 627-630
CrimeSafe - Helping you stay safe
Islam, S., Naeem, U., Sharif, M. and Dovnarovic, Arnold 2017. CrimeSafe - Helping you stay safe. in: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers ACM. pp. 642-645
The Future of Enterprise Security with Regards to Mobile Technology and Applications
Tagoe, F. T. and Sharif, M. 2017. The Future of Enterprise Security with Regards to Mobile Technology and Applications. in: Jahankhani, Hamid, Carlile, Alex, Emm, David, Hosseinian-Far, Amin, Brown, Guy, Sexton, Graham and Jamal, Arshad (ed.) Global Security, Safety and Sustainability - The Security Challenges of the Connected World. ICGS3 2017 Proceedings Springer International Publishing.
Actor-Network Theory as a Framework to Analyse Technology Acceptance Model’s External Variables: The Case of Autonomous Vehicles
Seuwou, Patrice, Banissi, Ebad, Ubakanma, George, Sharif, M. and Healey, Ann 2017. Actor-Network Theory as a Framework to Analyse Technology Acceptance Model’s External Variables: The Case of Autonomous Vehicles. in: Jahankhani, Hamid, Carlile, Alex, Emm, David, Hosseinian-Far, Amin, Brown, Guy, Sexton, Graham and Jamal, Arshad (ed.) Global Security, Safety and Sustainability - The Security Challenges of the Connected World. ICGS3 2017 Proceedings Springer International Publishing.
An efficient system for preprocessing confocal corneal images for subsequent analysis
Sharif, M., Qahwaji, Rami, Hayajneh, Sofyan, Ipson, Stanley, Alzubaidi, Rania and Brahma, Arun 2014. An efficient system for preprocessing confocal corneal images for subsequent analysis. in: 2014 14th UK Workshop on Computational Intelligence (UKCI) IEEE.
Artificial Neural Network-Based System for PET Volume Segmentation
Sharif, M., Abbod, Maysam, Amira, Abbes and Zaidi, Habib 2010. Artificial Neural Network-Based System for PET Volume Segmentation. International Journal of Biomedical Imaging. 2010 (105610). https://doi.org/10.1155/2010/105610
Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification
Sharif, M., Abbod, Maysam, Amira, Abbes and Zaidi, Habib 2012. Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification. Advances in Fuzzy Systems. 2012 (327861). https://doi.org/10.1155/2012/327861
Machine Learning Optimisation for Realistic 2D and 3D PET-CT Phantom Study
Sharif, M., Abbod, Maysam, Sonoda, Luke I. and Sanghera, Bal 2013. Machine Learning Optimisation for Realistic 2D and 3D PET-CT Phantom Study. British Journal of Applied Science & Technology. 4 (4), pp. 634-649. https://doi.org/10.9734/bjast/2014/5084
Preparation of 2D sequences of corneal images for 3D model building
Elbita, Abdulhakim, Qahwaji, Rami, Ipson, Stanley, Sharif, M. and Ghanchi, Faruque 2015. Preparation of 2D sequences of corneal images for 3D model building. Computer Methods and Programs in Biomedicine. 114 (2), pp. 194-205. https://doi.org/10.1016/j.cmpb.2014.01.009
Medical image classification based on artificial intelligence approaches: A practical study on normal and abnormal confocal corneal images
Sharif, M., Qahwaji, R., Ipson, S. and Brahma, A. 2015. Medical image classification based on artificial intelligence approaches: A practical study on normal and abnormal confocal corneal images. Applied Soft Computing. 36 (Nov.), pp. 269-282. https://doi.org/10.1016/j.asoc.2015.07.019
An efficient intelligent analysis system for confocal corneal endothelium images
Sharif, M., Qahwaji, R., Shahamatnia, E., Alzubaidi, R., Ipson, S. and Brahma, A. 2015. An efficient intelligent analysis system for confocal corneal endothelium images. Computer Methods and Programs in Biomedicine. 122 (3), pp. 421-436. https://doi.org/10.1016/j.cmpb.2015.09.003
In Vivo Confocal Microscopic Corneal Images in health and disease with an emphasis on extracting features and visual signatures for corneal diseases: A review study
Alzubaidi, Rania, Sharif, M., Qahwaji, Rami, Ipson, Stanley and Brahma, Arun 2015. In Vivo Confocal Microscopic Corneal Images in health and disease with an emphasis on extracting features and visual signatures for corneal diseases: A review study. British Journal of Ophthalmology. 100 (1), pp. 41-55. https://doi.org/10.1136/bjophthalmol-2015-306934
5G Uniform linear arrays with beamforming and spatial multiplexing at 28 GHz, 37 GHz, 64 GHz and 71 GHz for outdoor urban communication: A two-level approach
Lota, J., Sun, Shu, Rappaport, Theodore S. and Demosthenous, Andreas 2017. 5G Uniform linear arrays with beamforming and spatial multiplexing at 28 GHz, 37 GHz, 64 GHz and 71 GHz for outdoor urban communication: A two-level approach. IEEE Transactions on Vehicular Technology. 66 (11), pp. 9972-9985. https://doi.org/10.1109/TVT.2017.2741260
A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing
Pizzamiglio, S., Naeem, U., ur Réhman, Shafiq, Sharif, M., Abdalla, H. and Turner, D. 2017. A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing. Procedia Computer Science. 113, pp. 89-96. https://doi.org/10.1016/j.procs.2017.08.297
5G innovation opportunities-- A discussion paper
Rhodes, Dan, Barker, David, Happy, David, Humphreys, David, Lund, David, Hamid, Falaki, Varrall, Geoff, Macdonald, Graham, Lota, J., Barrett, Mark, Beach, Mark, Fitch, Michael, Green, Mike, Dohler, Mischa, Juwad, Mohaned, Jenkins, Paul, Ni, Qiang, Tafazoli, Rahim, Sivalingam, Raj, Baban, Shaswar, Fletcher, Simon, Methley, Steve, Revell, Stuart, O'Farrell, Timothy, Webb, William and Ding, Zhiguo 2016. 5G innovation opportunities-- A discussion paper. Future Technologies Network, techUK.
Power control in cognitive radios, Internet-of Things (IoT) for factories and industrial automation
Etim, Ifiok E. and Lota, J. 2016. Power control in cognitive radios, Internet-of Things (IoT) for factories and industrial automation. IEEE Conference of Industrial Electronics, IEEE IECON 2016. Florence, Italy 24 - 27 Oct 2016 IEEE. pp. 4701-4705 https://doi.org/10.1109/IECON.2016.7793782
Q-enhancement with on-chip inductor optimization for reconfigurable Δ-Σ radio-frequency ADC
Lota, J. and Demosthenous, Andreas 2015. Q-enhancement with on-chip inductor optimization for reconfigurable Δ-Σ radio-frequency ADC. IEEE 13th International New Circuits and Systems Conference (NEWCAS), 2015. Grenoble, France 07 - 10 Jun 2015 IEEE. pp. 1-4
Introduction to the Special Issue on Biomedical and Bioelectronic Circuits for Enhanced Diagnosis and Therapy
Rieger, Robert, Lota, J. and Liu, Xiao 2015. Introduction to the Special Issue on Biomedical and Bioelectronic Circuits for Enhanced Diagnosis and Therapy. IEEE Transactions on Circuits and Systems II: Express Briefs. 62 (2), pp. 101-103. https://doi.org/10.1109/TCSII.2014.2384111
Bit Error Rate performance in Power Line Communication Channels with Impulsive Noise
Najarkolaei, Ali Hosseinpour, Hosny, Wada and Lota, J. 2015. Bit Error Rate performance in Power Line Communication Channels with Impulsive Noise. Al-Dabass, David, Orsoni, Alessandra, Cant, Richard, Ibrahim, Zuwairie and Saad, Ismail (ed.) UKSim-AMSS 17 th International Conference on Computer Modelling and Simulation. Cambridge, UK 25 - 27 Mar 2015 Cambridge IEEE Computer Society / Conference Publishing Services. pp. 248-254
Data transfer over low-voltage European power distribution networks
Najarkolaei, Ali Hosseinpour, Lota, J. and Hosny, Wada 2012. Data transfer over low-voltage European power distribution networks. Universities Power Engineering Conference (UPEC), 47th International. Brunel University, London 04 - 07 Sep 2012 IEEE. pp. 1-5
Nonlinear Model-Based Approach for Accurate Stability Prediction of One-Bit Higher-Order Delta-Sigma (Δ-Σ)Modulators
Lota, J., Al-Janabi, Mohammed and Kale, Izzet 2013. Nonlinear Model-Based Approach for Accurate Stability Prediction of One-Bit Higher-Order Delta-Sigma (Δ-Σ)Modulators. IEEE Transactions on Instrumentation and Measurement. 62 (4), pp. 686-692.
Nonlinear Stability Prediction of Multibit Delta-Sigma Modulators for Sinusoidal Inputs
Lota, J., Al-Janabi, Mohammed and Kale, Izzet 2014. Nonlinear Stability Prediction of Multibit Delta-Sigma Modulators for Sinusoidal Inputs. IEEE Transactions on Instrumentation and Measurement. 63 (1), pp. 18-26.
Accurate stability prediction of 1-bit higher-order Δ-Σ modulators for multiple-sinusoidal inputs
Lota, J. 2012. Accurate stability prediction of 1-bit higher-order Δ-Σ modulators for multiple-sinusoidal inputs. Journal of the IET Circuits, Devices & Systems. 6 (2), pp. 71-78.
Accurate stability prediction of single-bit higher-order Δ-Σ modulators for Speech Codecs
Lota, J., Al-Janabi, Mohammed and Kale, Izzet 2011. Accurate stability prediction of single-bit higher-order Δ-Σ modulators for Speech Codecs. Proceedings IEEE International Symposium on Circuits & Systems -ISCAS 2011. Rio de Janeiro, Brazil 15 - 18 May 2011
ETSI Reconfigurable Radio Systems – Status and Future Directions on Software Defined Radio and Cognitive Radio Standards
Mueck, Markus, Piipponen, Antti, Dimitrakopoulos, George, Tsagkaris, Kostas, Casadevall, Fernando, Demestichas, Panagiotis, Perez-Romero, Jordi, Sallent, Oriol, Baldini, Gianmarco, Filin, Stanislav, Harada, Hiroshi, Debbah, Merouane, Haustein, Thomas, Gebert, Jens, Deschamps, Benoist, Bender, Paul, Street, Michael, Kalliojarvi, Kari, Kandeepan, Sithamparanathan, Lota, J. and Hayar, Aawatif 2010. ETSI Reconfigurable Radio Systems – Status and Future Directions on Software Defined Radio and Cognitive Radio Standards. Communications Magazine, IEEE. 48 (9), pp. 78-86.
Design of a Delta-Sigma (Δ-Σ) Based Digital-to-Analog Converter for TETRA-2 Transmitter
Lota, J. 2010. Design of a Delta-Sigma (Δ-Σ) Based Digital-to-Analog Converter for TETRA-2 Transmitter. IEEE International Instrumentation & Measurement Technology Conference. (IMTC 2010) Austin Texas USA
Stability analysis of higher-order delta-sigma modulators using the describing function method
Lota, J., Al-Janabi, Mohammed and Kale, Izzet 2006. Stability analysis of higher-order delta-sigma modulators using the describing function method. Proceedings of the IEEE International Symposium on Circuits and Systems, 2006: ISCAS 2006. IEEE, Los Alamitos, USA 593-596
Tonality index of sigma-delta modulators: a psychoacoustics model based approach
Lota, J., Al-Janabi, Mohammed and Kale, Izzet 2007. Tonality index of sigma-delta modulators: a psychoacoustics model based approach. Proceedings of the IEEE International Symposium on Circuits and Systems 2007, (ISCAS 2007). IEEE, Los Alamitos, USA
Stability Analysis of Higher-Order Delta-Sigma Modulators for Dual Sinusoidal Inputs
Lota, J., Al-Janabi, Mohammed and Kale, Izzet 2007. Stability Analysis of Higher-Order Delta-Sigma Modulators for Dual Sinusoidal Inputs. Proceedings of the IEEE Instrumentation and Measurement Technology Conference, Warsaw, Poland, May 1-3, 2007. IEEE, Los Alamitos, USA
Nonlinear-Stability Analysis of Higher Order Δ–Σ Modulators for DC and Sinusoidal Inputs
Lota, J., Al-Janabi, Mohammed and Kale, Izzet 2008. Nonlinear-Stability Analysis of Higher Order Δ–Σ Modulators for DC and Sinusoidal Inputs. IEEE Transactions on Instrumentation and Measurement. 57 (3), pp. 530-542.
System and circuit level design and analysis of a 16-bit sigma-delta ADC for a TETRA-2 network mobile station application
Lota, J., Al-Janabi, Mohammed and Kale, Izzet 2008. System and circuit level design and analysis of a 16-bit sigma-delta ADC for a TETRA-2 network mobile station application. 2008 IEEE Instrumentation and Measurement Technology Conference (IMTC 2008). Victoria, British Columbia, Canada 12 - 15 May 2008 IEEE. pp. 663-667 https://doi.org/10.1109/IMTC.2008.4547119
A Study on the Effects of Accumulated and Independent Clock Jitter on Discrete-Time Delta- Sigma Modulators
Lota, J., Al-Janabi, Mohammed and Kale, Izzet 2005. A Study on the Effects of Accumulated and Independent Clock Jitter on Discrete-Time Delta- Sigma Modulators. Instrumentation and Measurement Technology Conference (IMTC 2005). Ottawa, CA 17 - 19 May 2005 IEEE. pp. 786-790