Publications
736 results found
Took CC, Mandic DP, 2010, A Quaternion Widely Linear Adaptive Filter, IEEE Transactions on Signal Processing, Vol: 58, Pages: 4427-4431
Took CC, Mandic DP, 2010, Quaternion-Valued Stochastic Gradient Based Adaptive IIR Filtering, IEEE Transactions on Signal Processing, Vol: 58, Pages: 3895-3901
Leo M, D'Orazio T, Looney D, et al., 2010, Bivariate EMD Analysis for Aircraft Component Inspection, IEEE International Symposium on Industrial Electronics (ISIE), Publisher: IEEE, Pages: 2797-2802, ISSN: 2163-5137
Leo M, Looney D, D'Orazio T, et al., 2010, Defective Areas Identification in Aircraft Components by Bivariate EMD Analysis of Ultrasound Signals, 4th Workshop on Artificial Neural Networks in Pattern Recognition, Publisher: SPRINGER-VERLAG BERLIN, Pages: 219-+, ISSN: 0302-9743
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- Citations: 1
Rutkowski TM, Cichocki A, Mandic DP, 2009, Information fusion analysis in time-frequency domain of brain responses dynamics to affective stimuli, Pages: 169-173
An approach to estimate brain responses to emotional or generally affective stimuli is presented. Functional electroencephalography (fEEG) and functional near-infrared spectroscopy (fNIRS) signals are first preprocessed to remove muscle and peripheral body activity physiological noise with utilization of an extension of empirical mode decomposition (EMD) spectral clustering approach, which utilizes simultaneously recorded biosignals as references. The so preprocessed signals are further analyzed with quick signal change detection based on dynamical systems recurrence analysis technique. As a result we obtain clear signature estimates of subjects cognition state changes from fEEG and fNIRS in response to the presented emotional/affective stimuli.
Mandic DP, 2009, Complex valued recurrent neural networks for noncircular complex signals, Pages: 1987-1992
This paper uses new developments in the statistics of complex variable and recent results on the duality between the bivariate and complex calculus to provide a unified design of complex valued temporal neural networks. For generality, the case of recurrent neural networks is addressed in detail, as they simplify into feedforward networks upon cancellation of the feedback. The use of ℂℝ calculus provides a convenient framework for the calculation of gradients of real functions of complex variables (cost functions) which do not obey the Cauchy-Riemann conditions. Further, the analysis is based on so called augmented complex statistics, to provide a rigorous treatment of complex noncircularity and nonlinearity, thus avoiding the deficiencies inherent in several mathematical shortcuts typically used in the treatment of complex random signals. The complex models addressed in this work, are based on widely linear nonlinear autoregressive moving average (NARMA) models and are shown to be suitable for processing the generality of complex signals, both second order circular (proper) and noncircular (improper). © 2009 IEEE.
Took CC, Mandic DP, 2009, Adaptive IIR Filtering of Noncircular Complex Signals, IEEE TRANSACTIONS ON SIGNAL PROCESSING, Vol: 57, Pages: 4111-4118, ISSN: 1053-587X
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- Citations: 11
Mandic DP, Goh VSL, 2009, Complex Valued Nonlinear Adaptive Filters Noncircularity, Widely Linear and Neural Models, Publisher: Wiley, ISBN: 9780470066355
This book was written in response to the growing demand for a text that provides a unified treatment of linear and nonlinear complex valued adaptive filters, and methods for the processing of general complex signals (circular and ...
Mandic DP, Goh VSL, 2009, Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models, ISBN: 9780470066355
This book was written in response to the growing demand for a text that provides a unified treatment of linear and nonlinear complex valued adaptive filters, and methods for the processing of general complex signals (circular and noncircular). It brings together adaptive filtering algorithms for feedforward (transversal) and feedback architectures and the recent developments in the statistics of complex variable, under the powerful frameworks of CR (Wirtinger) calculus and augmented complex statistics. This offers a number of theoretical performance gains, which is illustrated on both stochastic gradient algorithms, such as the augmented complex least mean square (ACLMS), and those based on Kalman filters. This work is supported by a number of simulations using synthetic and real world data, including the noncircular and intermittent radar and wind signals. © 2009 John Wiley & Sons, Ltd.
Looney D, Mandic DP, 2009, Multiscale Image Fusion Using Complex Extensions of EMD, IEEE TRANSACTIONS ON SIGNAL PROCESSING, Vol: 57, Pages: 1626-1630, ISSN: 1053-587X
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- Citations: 135
Yuan Y, Li Y, Mandic DP, et al., 2009, Regular nonlinear response of the driven Duffing oscillator to chaotic time series, CHINESE PHYSICS B, Vol: 18, Pages: 958-968, ISSN: 1674-1056
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- Citations: 13
Boukis C, Mandic DP, Constantinides AG, 2009, A class of stochastic gradient algorithms with exponentiated error cost functions, DIGITAL SIGNAL PROCESSING, Vol: 19, Pages: 201-212, ISSN: 1051-2004
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- Citations: 23
Mandic DP, Javidi S, Goh SL, et al., 2009, Complex-valued prediction of wind profile using augmented complex statistics, RENEWABLE ENERGY, Vol: 34, Pages: 196-201, ISSN: 0960-1481
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- Citations: 81
Mandic DP, 2009, Complex Valued Recurrent Neural Networks for Noncircular Complex Signals, International Joint Conference on Neural Networks, Publisher: IEEE, Pages: 2651-2656, ISSN: 2161-4393
Rehman NU, Mandic DP, 2009, QUALITATIVE ANALYSIS OF ROTATIONAL MODES WITHIN THREE DIMENSIONAL EMPIRICAL MODE DECOMPOSITION, IEEE International Conference on Acoustics, Speech and Signal Processing, Publisher: IEEE, Pages: 3449-3452, ISSN: 1520-6149
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- Citations: 3
Cheong-Took C, Mandic DP, 2009, The Quaternion LMS algorithm for adaptive filtering of hypercomplex processes, IEEE Transactions on Signal Processing, Vol: 57, Pages: 1316-1327
Mandic DP, Still S, Douglas SC, 2009, DUALITY BETWEEN WIDELY LINEAR AND DUAL CHANNEL ADAPTIVE FILTERING, IEEE International Conference on Acoustics, Speech and Signal Processing, Publisher: IEEE, Pages: 1729-+, ISSN: 1520-6149
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- Citations: 19
Ujang CABC, Took CC, Kavcic A, et al., 2009, A SPLIT QUATERNION NONLINEAR ADAPTIVE FILTER, IEEE International Conference on Acoustics, Speech and Signal Processing, Publisher: IEEE, Pages: 1745-+, ISSN: 1520-6149
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- Citations: 1
Looney D, Mandic DP, 2009, Multi-scale image fusion using complex extensions of EMD, IEEE Transactions on Signal Processing, Vol: 57, Pages: 1626-1630
Mandic DP, Javidi S, Goh SL, et al., 2009, Complex valued prediction of wind profile using augmented complex statistics, Renewable Energy, Vol: 34, Pages: 196-201
Boukis C, Mandic DP, Constantinides AG, 2009, Introducing stochastic gradient descent with exponential cost functions, Vol: 19, Pages: 201-212
Rutkowski TM, Cichocki A, Tanaka T, et al., 2009, Clustering of Spectral Patterns Based on EMD Components of EEG Channels with Applications to Neurophysiological Signals Separation, 15th International Conference on Neuro-Information Processing, Publisher: SPRINGER-VERLAG BERLIN, Pages: 453-+, ISSN: 0302-9743
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- Citations: 2
Rutkowski T, Cichocki A, Erickson D, et al., 2009, Multimodal fEEG and fNIRS analysis of human emotional responses, NEUROSCIENCE RESEARCH, Vol: 65, Pages: S130-S130, ISSN: 0168-0102
Looney D, Rehman NU, Mandic D, et al., 2009, Conditioning Multimodal Information for Smart Environments, 3rd ACM/IEEE International Conference on Distributed Smart Cameras, Publisher: IEEE, Pages: 306-+
Yuan Y, Li Y, Mandic DP, 2009, Regular Nonlinear Response of the Driven Duffing Oscillator to Chaotic Time Series, Chinese Physics B, Vol: 18, Pages: 956-968
Took CC, Mandic DP, 2009, Adaptive IIR Filtering of Noncircular Signals, IEEE Transactions on Signal Processing, Vol: 57, Pages: 1626-1630
Rehman N, Looney D, Rutkowski TM, et al., 2009, BIVARIATE EMD-BASED IMAGE FUSION, 15th IEEE/SP Workshop on Statistical Signal Processing, Publisher: IEEE, Pages: 57-+
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- Citations: 13
Looney D, Park C, Kidmose R, et al., 2009, MEASURING PRASE SYNCHRONY USING COMPLEX EXTENSIONS OF EMD, 15th IEEE/SP Workshop on Statistical Signal Processing, Publisher: IEEE, Pages: 49-+
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- Citations: 17
Javidi S, JElfs B, Mandic DP, 2009, Blind Extraction of Noncircular Complex Signals Using a Widely Linear Predictor, 15th IEEE Workshop on Statistical Signal Processing, Pages: 501-504
Mostafanezhad I, Boric-Lubecke O, Lubecke V, et al., 2009, Application of empirical mode decomposition in removing fidgeting interference in doppler radar life signs monitoring devices., Pages: 340-343, ISSN: 2375-7477
Empirical Mode Decomposition has been shown effective in the analysis of non-stationary and non-linear signals. As an application in wireless life signs monitoring in this paper we use this method in conditioning the signals obtained from the Doppler device. Random physical movements, fidgeting, of the human subject during a measurement can fall on the same frequency of the heart or respiration rate and interfere with the measurement. It will be shown how Empirical Mode Decomposition can break the radar signal down into its components and help separate and remove the fidgeting interference.
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