Imperial College London

ProfessorDaniloMandic

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Signal Processing
 
 
 
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Contact

 

+44 (0)20 7594 6271d.mandic Website

 
 
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Assistant

 

Miss Vanessa Rodriguez-Gonzalez +44 (0)20 7594 6267

 
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Location

 

813Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
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619 results found

Farooq F, Looney D, Mandic DP, Kidmose Pet al., 2015, EarEEG based Visual P300 Brain-Computer Interface, 7th Annual International IEEE EMBS Conference on Neural Engineering (NER), Publisher: IEEE, Pages: 98-101, ISSN: 1948-3546

Conference paper

Wang Y-T, Nakanishi M, Kappel SL, Kidmose P, Mandic DP, Wang Y, Cheng C-K, Jung T-Pet al., 2015, Developing an Online Steady-State Visual Evoked Potential-Based Brain-Computer Interface System Using EarEEG, 37th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Publisher: IEEE, Pages: 2271-2274, ISSN: 1557-170X

Conference paper

Talebi SP, Kanna S, Mandic DP, 2015, A Non-Linear State Space Frequency Estimator for Three-Phase Power Systems, International Joint Conference on Neural Networks (IJCNN), Publisher: IEEE, ISSN: 2161-4393

Conference paper

Jaksic V, Wright C, Mandic DP, Murphy J, Pakrashi Vet al., 2015, A Delay Vector Variance based Marker for an Output-Only Assessment of Structural Changes in Tension Leg Platforms, 11th International Conference on Damage Assessment of Structures (DAMAS), Publisher: IOP PUBLISHING LTD, ISSN: 1742-6588

Conference paper

Duun-Henriksen J, Kjaer TW, Looney D, Atkins MD, Sorensen JA, Rose M, Mandic DP, ElsborgMadsen R, Juhl CBet al., 2015, EEG Signal Quality of a Subcutaneous Recording System Compared to Standard Surface Electrodes, JOURNAL OF SENSORS, Vol: 2015, ISSN: 1687-725X

Journal article

Ahrabian A, Looney D, Stankovic L, Mandic DPet al., 2015, Synchrosqueezing-based time-frequency analysis of multivariate data, SIGNAL PROCESSING, Vol: 106, Pages: 331-341, ISSN: 0165-1684

Journal article

Goverdovsky V, Looney D, Kidmose P, Papavassiliou C, Mandic DPet al., 2015, Co-Located Multimodal Sensing: A Next Generation Solution for Wearable Health, IEEE SENSORS JOURNAL, Vol: 15, Pages: 138-145, ISSN: 1530-437X

Journal article

Huang Y-F, Kishore S, Koivunen V, Mandic D, Tong Let al., 2014, Introduction to the Issue on Signal Processing in Smart Electric Power Grid, IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, Vol: 8, Pages: 1019-1021, ISSN: 1932-4553

Journal article

Kappel SL, Looney D, Mandic DP, Kidmose Pet al., 2014, A method for quantitative assessment of artifacts in EEG, and an empirical study of artifacts., Conf Proc IEEE Eng Med Biol Soc, Vol: 2014, Pages: 1686-1690, ISSN: 1557-170X

Wearable EEG systems for continuous brain monitoring is an emergent technology that involves significant technical challenges. Some of these are related to the fact that these systems operate in conditions that are far less controllable with respect to interference and artifacts than is the case for conventional systems. Quantitative assessment of artifacts provides a mean for optimization with respect to electrode technology, electrode location, electronic instrumentation and system design. To this end, we propose an artifact assessment method and evaluate it over an empirical study of 3 subjects and 5 different types of artifacts. The study showed consistent results across subjects and artifacts.

Journal article

Jahanchahi C, Kanna S, Mandic D, 2014, Complex dual channel estimation: Cost effective widely linear adaptive filtering, SIGNAL PROCESSING, Vol: 104, Pages: 33-42, ISSN: 0165-1684

Journal article

Tobar FA, Mandic DP, 2014, Quaternion Reproducing Kernel Hilbert Spaces: Existence and Uniqueness Conditions, IEEE TRANSACTIONS ON INFORMATION THEORY, Vol: 60, Pages: 5736-5749, ISSN: 0018-9448

Journal article

Hirose A, Aizenberg I, Mandic DP, 2014, Guest Editorial Special Issue on Complex- and Hypercomplex-Valued Neural Networks, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol: 25, Pages: 1597-1599, ISSN: 2162-237X

Journal article

Goverdovsky V, Looney D, Kidmose P, Mandic DPet al., 2014, Multimodal physiological sensor for motion artefact rejection, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC, Publisher: IEEE, Pages: 2753-2756, ISSN: 1557-170X

This work introduces a novel physiological sensor, which combines electrical and mechanical modalities in a co-located arrangement, to reject motion-induced artefacts. The mechanically sensitive element consists of an electret condenser microphone containing a light diaphragm, allowing it to detect local mechanical displacements and disregard large-scale whole body movements. The electrically sensitive element comprises a highly flexible membrane, conductive on one side and insulating on the other. It covers the sound hole of the microphone, thereby forming an isolated pocket of air between the membrane and the diaphragm. The co-located arrangement of the modalities allows the microphone to sense mechanical disturbances directly through the electrode, thus providing an accurate proxy to artefacts caused by relative motion between the skin and the electrode. This proxy is used to reject such artefacts in the electrical physiological signals, enabling enhanced recording quality in wearable health applications.

Conference paper

Rehman NU, Safdar MW, Rehman UU, Mandic DPet al., 2014, Dynamically-Sampled Bivariate Empirical Mode Decomposition, IEEE SIGNAL PROCESSING LETTERS, Vol: 21, Pages: 857-861, ISSN: 1070-9908

Journal article

Jahanchahi C, Mandic DP, 2014, A Class of Quaternion Kalman Filters, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol: 25, Pages: 533-544, ISSN: 2162-237X

Journal article

Tobar FA, Kung S-Y, Mandic DP, 2014, Multikernel Least Mean Square Algorithm, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol: 25, Pages: 265-277, ISSN: 2162-237X

Journal article

Ahrabian A, Mandic DP, 2014, ESTIMATION OF PHASE SYNCHRONY USING THE SYNCHROSQUEEZING TRANSFORM, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Publisher: IEEE, ISSN: 1520-6149

Conference paper

Talebi SP, Xu D, Kuh A, Mandic Det al., 2014, A QUATERNION LEAST MEAN PHASE ADAPTIVE ESTIMATOR, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Publisher: IEEE, ISSN: 1520-6149

Conference paper

Looney D, Goverdovsky V, Kidmose P, Mandic DPet al., 2014, SUBSPACE DENOISING OF EEG ARTEFACTS VIA MULTIVARIATE EMD, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Publisher: IEEE, ISSN: 1520-6149

Conference paper

Tobar FA, Mandic DP, 2014, A PARTICLE FILTERING BASED KERNEL HMM PREDICTOR, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Publisher: IEEE, ISSN: 1520-6149

Conference paper

Kanna S, Talebi SP, Mandic DP, 2014, Diffusion Widely Linear Adaptive Estimation of System Frequency in Distributed Power Grids, IEEE International Energy Conference (ENERGYCON), Publisher: IEEE, Pages: 772-778, ISSN: 2164-4322

Conference paper

Park C, Took CC, Mandic DP, 2014, Augmented Complex Common Spatial Patterns for Classification of Noncircular EEG From Motor Imagery Tasks, IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, Vol: 22, Pages: 1-10, ISSN: 1534-4320

Journal article

ur Rehman N, Looney D, Park C, Mandic DPet al., 2014, Adaptive multiscale time-frequency analysis, Springer Handbook of Bio-/Neuroinformatics, Pages: 745-762, ISBN: 9783642305733

© Springer-Verlag Berlin Heidelberg 2014. Time-frequency analysis techniques are now adopted as standard in many applied fields, such as bio-informatics and bioengineering, to reveal frequency-specific and time-locked eventrelated information of input data. Most standard time-frequency techniques, however, adopt fixed basis functions to represent the input data and are thus suboptimal. To this cause, an empirical mode decomposition (EMD) algorithm has shown considerable prowess in the analysis of nonstationary data as it offers a fully data-driven approach to signal processing. Recent multivariate extensions of the EMD algorithm, aimed at extending the framework for signals containing multiple channels, are even more pertinent in many real world scenarios where multichannel signals are commonly obtained, e.g., electroencephalogram (EEG) recordings. In this chapter, the multivariate extensions of EMD are reviewed and it is shown how these extensions can be used to alleviate the long-standing problems associated with the standard (univariate) EMD algorithm. The ability of the multivariate extensions of EMD as a powerful real world data analysis tool is demonstrated via simulations on biomedical signals.

Book chapter

Tobar FA, Orchard ME, Mandic DP, Constantinides AGet al., 2014, Estimation of Financial Indices Volatility Using a Model with Time-Varying Parameters, IEEE Conference on Computational Intelligence for Financial Engineering and Economics (CIFEr), Publisher: IEEE, Pages: 318-324, ISSN: 2380-8454

Conference paper

Took CC, Douglas SC, Mandic DP, 2014, The Correlation Preserving Transform Resolves Phase Ambiguity in Complex Decorrelating Transforms, 8th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Publisher: IEEE, Pages: 73-76, ISSN: 1551-2282

Conference paper

Kanna S, Douglas SC, Mandic DP, 2014, A Real Time Tracker of Complex Circularity, 8th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Publisher: IEEE, Pages: 129-132, ISSN: 1551-2282

Conference paper

Jahanchahi C, Kanna S, Mandic D, 2014, A Theoretical Bound for the Performance Advantage of Quaternion Widely Linear Estimation, 19th International Conference on Digital Signal Processing (DSP), Publisher: IEEE, Pages: 254-258, ISSN: 1546-1874

Conference paper

Xia Y, Jahanchahi C, Xu D, Mandic DPet al., 2014, The HC Calculus, Quaternion Derivatives and Caylay-Hamilton Form of Quaternion Adaptive Filters and Learning Systems, International Joint Conference on Neural Networks (IJCNN), Publisher: IEEE, Pages: 3395-3401, ISSN: 2161-4393

Conference paper

Douglas SC, Mandic DP, 2014, AUTOCONVOLUTION AND PANORAMA: AUGMENTING SECOND-ORDER SIGNAL ANALYSIS, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Publisher: IEEE, ISSN: 1520-6149

Conference paper

Xia Y, Wang K, Pei W, Mandic DYet al., 2014, A Balancing Voltage Transformation for Robust Frequency Estimation in Unbalanced Power Systems, Annual Summit and Conference of Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA), Publisher: IEEE, ISSN: 2309-9402

Conference paper

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