Publications
736 results found
Leong WY, Homer J, Mandic DP, 2006, An implementation of nonlinear multiuser detection in Rayleigh fading channel, EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, ISSN: 1687-1472
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- Citations: 4
Leong WY, Mandic DP, 2006, Blind sequential extraction of post-nonlinearly mixed sources using Kalman filtering, IEEE Nonlinear Statistical Signal Processing Workshop, Publisher: IEEE, Pages: 137-140
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- Citations: 1
Goh SL, Mandic DP, 2006, An augmented extended Kalman filter algorithm for complex-valued recurrent neural networks, 31st IEEE International Conference on Acoustics, Speech and Signal Processing, Publisher: IEEE, Pages: 5419-5422, ISSN: 1520-6149
Palaniappan R, Obradovic D, Mandic D P, 2005, On Decision Making Ability ofPeople Under Intoxicants Using Single Trial Visual EvokedPotential Signals, Pages: 413-416
Golz M, Sommer D, Mandic D P, 2005, Microsleep Detection in Electrophysiological Signals
Goh SL, Mandic DP, 2005, Nonlinear adaptive prediction of complex-valued signals by complex-valued PRNN, IEEE TRANSACTIONS ON SIGNAL PROCESSING, Vol: 53, Pages: 1827-1836, ISSN: 1053-587X
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- Citations: 36
Palaniappan R, Mandic DP, Obradovic D, 2005, On decision making ability of subjects with long-term intoxicant consumption using single trial visual evoked potential signals, Pages: 413-416
We investigate the decision making ability of subjects with a history of long-term intoxicant (alcohol) consumption in relation to short-term visual memory using P3 amplitudes obtained from single trial visual evoked potential (VEP) signals. This is made possible by means of digital filtering and principal component analysis (PCA). The results show a significantly lower P3 amplitude for these subjects as compared to controls. This electroencephalogram based analysis conforms with the common knowledge that long-term alcohol use causes permanent and negative residual effects on decision making ability related to short-term visual memory. © 2005 IEEE.
Obradovic D, Szabo A, Mandic D, et al., 2005, Novel EM-based method for channel estimation and signal detection in MIMO-OFDM systems, Pages: 1795-1798
This paper presents a novel method for channel estimation and signal detection In MEMO-OEDM systems based on the Expectation Maximization algorithm (EM). In contrast to standard pilot aided Interpolation methods, the estimation of the channel In a given frequency bin without pilot symbols Is posed as a Maximum Likelihood (ML) with missing observations and Is solved by the Iterative EM algorithm. As a semi-blind estimation method, EM Is Insensitive to permutation and scaling of transmitted signals. To avoid this uncertainty, the initialization of the iterative optimization for each frequency bin is achieved using the model of the neighboring bin, provided that these bins satisfy thus Introduced similarity condition. Hence, channel estimation Is performed sequentially over all bins starting from the bin for which Its model Is estimated with a pilot sequence. The proposed method Is tested successfully on MEMO-OFDM systems In realistic channel conditions. © 2005 IEEE.
Mandic DP, Obradovic D, Kuh A, 2005, A robust general normalised gradient descent algorithm, Pages: 133-136
A modification of the generalised normalised gradient descent (GNGD) algorithm is introduced which caters for the steady state performance of the algorithm. This is achieved by combining the search-then-converge and gradient adaptive step size approaches. This way, the proposed algorithm exhibits very fast convergence and small steady state error. Simulations on linear and nonlinear signals in prediction setting support the analysis. © 2005 IEEE.
Liu W, Mandic DP, Cichocki A, 2005, A class of novel blind source extraction algorithms based on a linear predictor, New York, Proceedings of IEEE international symposium on circuits and systems, Kobe, Japan, 23 - 26 May 2005, Publisher: Ieee, Pages: 3599-3602
Sommer D, Chen M, Golz M, et al., 2005, Fusion of state space and frequency-domain features for improved microsleep detection, Artificial Neural Networks: Formal Models and Their Applications - Icann 2005, Vol: 3697, Pages: 753-759, ISSN: 0302-9743
Chen M, Mandic DP, Gautama T, et al., 2005, On nonlinear modular neural filters, New York, IEEE international conference on acoustics, speech, and signal processing, Philadelphia, PA, 19 - 23 March 2005, Publisher: IEEE, Pages: V317-V320
Palaniappan R, Mandic DP, 2005, Energy of brain potentials evoked during visual stimulus: a new biometric?, Artificial Neural Networks: Formal Models and Their Applications - Icann 2005, Vol: 3697, Pages: 735-740, ISSN: 0302-9743
Kountouriotis PA, Obradovic D, Goh SL, et al., 2005, Multi-step forecasting using Echo State Networks, New York, International conference on computer as a tool (eurocon 2005), 21 - 24 November 2005, Belgrade, SERBIA MONTENEG, Publisher: Ieee, Pages: 1574-1577
Rutkowski TM, Mandic D, 2005, Communicative interactivity - a multimodal communicative situation classification approach, Artificial Neural Networks: Formal Models and Their Applications - Icann 2005, Vol: 3697, Pages: 741-746, ISSN: 0302-9743
Mandic DP, Obradovic D, Kuh A, et al., 2005, Data fusion for modern engineering applications: an overview, Artificial Neural Networks: Formal Models and Their Applications - Icann 2005, Vol: 3697, Pages: 715-721, ISSN: 0302-9743
Goh SL, Mandic DP, 2005, A class of gradient-adaptive step size algorithms for complex-valued nonlinear neural adaptive filters, New York, IEEE international conference on acoustics, speech, and signal processing, 19 - 23 March 2005, Philadelphia, PA, Publisher: IEEE, Pages: 253-256
Liu W, Mandic DP, 2005, Semi-blind source separation for convolutive mixtures based on frequency invariant transformation, New York, IEEE international conference on acoustics, speech, and signal processing, Philadelphia, PA, 19 - 23 March 2005, Publisher: IEEE, Pages: V285-V288
Mandic DP, Obradovic D, Kuh A, et al., 2005, Data fusion for modern engineering applications: an overview, Artificial Neural Networks: Formal Models and Their Applications - Icann 2005, Vol: 3697, Pages: 715-721, ISSN: 0302-9743
Mandic DP, Goh SL, Aihara K, 2005, Sequential data fusion via vector spaces: complex modular neural network approach, New York, 2005 IEEE Workshop on Machine Learning for Signal Processing, 28 - 30 September 2005, Mystic, CT, Publisher: IEEE, Pages: 147-151
Mandic DP, Obradovic D, Kuh A, 2005, A robust general normalised gradient descent algorithm, Proceedings of the IEEE Workshop on Statistical Signal Processing (on CD), Publisher: IEEE
Goh SL, Mandic DP, 2004, A complex-valued RTRL algorithm for recurrent neural networks, NEURAL COMPUTATION, Vol: 16, Pages: 2699-2713, ISSN: 0899-7667
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- Citations: 66
Gautama T, Mandic DP, Van Hulle MM, 2004, A novel method for determining the nature of time series, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Vol: 51, Pages: 728-736, ISSN: 0018-9294
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- Citations: 49
Gautama T, Mandic DP, Van Hulle MA, 2004, The delay vector variance method for detecting determinism and nonlinearity in time series, PHYSICA D-NONLINEAR PHENOMENA, Vol: 190, Pages: 167-176, ISSN: 0167-2789
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- Citations: 108
Jafari MG, Chambers JA, Mandic DP, 2004, A novel adaptive learning rate sequential blind source separation algorithm, SIGNAL PROCESSING, Vol: 84, Pages: 801-804, ISSN: 0165-1684
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- Citations: 6
Cawley GC, Talbot NLC, Foxall RJ, et al., 2004, Heteroscedastic kernel ridge regression, 10th European Symposium on Artificial Neural Networks, Publisher: ELSEVIER SCIENCE BV, Pages: 105-124, ISSN: 0925-2312
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- Citations: 30
Mandic DP, 2004, A generalized normalized gradient descent algorithm, IEEE SIGNAL PROCESSING LETTERS, Vol: 11, Pages: 115-118, ISSN: 1070-9908
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- Citations: 171
Goh SL, Popovic DH, Mandic DP, 2004, Complex-valued estimation of wind profile and wind power, New York, 12th IEEE mediterranean electrotechnical conference (melecon 2004), Dubrovnik, Croatia, 12 - 15 May 2004, Publisher: IEEE, Pages: 1037-1040
Goh SL, Mandic DP, 2004, A data reusing sign error algorithm for complex valued adaptive filters, Proceedings of the IMA conference on mathematics in signal processing, Pages: 87-90
Gautama T, Mandic DP, Van Hulle MM, 2004, A non-parametric test for detecting the complex-valued nature of time series, International Journal of Knowledge Based Intelligent Engineering Systems, Vol: 8, Pages: 99-106, ISSN: 1327-2314
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