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
to

622 results found

Liu W, Mandic D P, Cichocki A, 2006, Blind Source Extraction of Instantaneous Noisy MixturesUsing a Linear Predictor, Pages: 4199-4202

Conference paper

Kuh A, Mandic D P, 2006, Sequential Detection Using Least Squares Temporal DifferenceMethods, Pages: 701-704

Conference paper

Boukis C, Mandic DP, Constantinides AG, 2006, Bias reduction in acoustic feedback cancellation systems with varying all-pass filters, ELECTRONICS LETTERS, Vol: 42, Pages: 556-558, ISSN: 0013-5194

Journal article

Hirata Y, Suzuki H, Aihara K, Mandic D Pet al., 2006, Predicting the wind direction usingobservations taken from two separate points

Conference paper

Leong W Y, Mandic D P, Homer J, 2006, Implementing Nonlinear Multiuser Detection in Rayleigh Fading Channel, EURASIP Journal on Wireless Communications and Networking, Vol: 16, Pages: 1-9

Journal article

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

Journal article

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

Conference paper

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

Conference paper

Cavalcante AB, Mandic DP, Rutkowski TM, Barros AKet al., 2006, Speech enhancement based on the response features of facilitated EI neurons, Berlin, 6th International Conference on Independent Component Analysis and Blind Signal Separation, 5 - 8 March 2006, Charleston, SC, Publisher: Springer-Verlag, Pages: 585-592

Conference paper

Palaniappan R, Obradovic D, Mandic D P, 2005, On Decision Making Ability ofPeople Under Intoxicants Using Single Trial Visual EvokedPotential Signals, Pages: 413-416

Conference paper

Golz M, Sommer D, Mandic D P, 2005, Microsleep Detection in Electrophysiological Signals

Conference paper

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

Journal article

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.

Conference paper

Obradovic D, Szabo A, Mandic D, Chang Ret 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.

Conference paper

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.

Conference paper

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

Conference paper

Sommer D, Chen M, Golz M, Trutschel U, Mandic Det 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

Journal article

Chen M, Mandic DP, Gautama T, Van Hulle MMet 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

Conference paper

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

Journal article

Kountouriotis PA, Obradovic D, Goh SL, Mandic DPet 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

Conference paper

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

Journal article

Mandic DP, Obradovic D, Kuh A, Adali T, Trutschel U, Golz M, De Wilde P, Barria J, Constantinides A, Chambers Jet 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

Journal article

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

Conference paper

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

Conference paper

Mandic DP, Obradovic D, Kuh A, Adali T, Trutschel U, Golz M, De Wilde P, Barria J, Constantinides A, Chambers Jet 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

Journal article

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

Conference paper

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

Conference paper

Goh SL, Mandic DP, 2004, A complex-valued RTRL algorithm for recurrent neural networks, NEURAL COMPUTATION, Vol: 16, Pages: 2699-2713, ISSN: 0899-7667

Journal article

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

Journal article

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

Journal article

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