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

Siaw WC, Goh SL, Hanna AI, Boukis C, Mandic DPet al., 2002, Fully adaptive neural nonlinear FIR filters, New York, 12th IEEE workshop on neural networks for signal processing, Martigny, Switzerland, 4 - 6 September 2002, Publisher: IEEE, Pages: 279-288

Conference paper

Boukis CG, Mandic DP, Constantinides AG, 2002, A hierarchical feedforward adaptive filter for system identification, New York, 12th IEEE workshop on neural networks for signal processing, Martigny, Switzerland, 4 - 6 September 2002, Publisher: IEEE, Pages: 269-278

Conference paper

Mandic DR, Hanna AI, Kim DI, 2002, A general adaptive normalised nonlinear gradient descent algorithm for nonlinear adaptive filters, New York, IEEE international conference on acoustics, speech, and signal processing (ICASSP), Orlando, Florida, 13 - 17 May 2002, Publisher: IEEE, Pages: 1353-1356

Conference paper

Palmer AS, Razaz M, Mandic DP, 2002, Spatially adaptive image restoration by neural network filtering, Los Alamitos, 7th brazilian symposium on neural networks, Pernambuco, Brazil, 11 - 14 November 2002, Publisher: IEEE Computer Soc, Pages: 184-189

Conference paper

Hanna AI, Krcmar IR, Mandic DP, 2002, Perlustration of error surfaces for nonlinear stochastic gradient descent algorithms, New York, 6th seminar on neural network applications in electrical engineering, University of Belgrade, Faculty of Electrical Engineering, Belgrade, Yugoslavia, 26 - 28 September 2002, Publisher: IEEE, Pages: 11-16

Conference paper

Sherliker W, Krcmar IR, Bozic MM, Mandic DPet al., 2002, On sensitivity of neural adaptive filters with respect to the slope parameter of a neuron activation function, New York, IEEE international conference on acoustics, speech, and signal processing (ICASSP), Orlando, Florida, 13 - 17 May 2002, Publisher: IEEE, Pages: 1061-1064

Conference paper

Kolonic DH, Mandic DR, Milner B, Harvey Ret al., 2002, On the derivation of the optimal payload size for packet based transmission over a binary symmetrical communication channel, New York, IEEE international conference on acoustics, speech, and signal processing (ICASSP), Orlando, Florida, 13 - 17 May 2002, Publisher: IEEE, Pages: 4120-4123

Conference paper

Goh SL, Mandic DP, Bozic M, 2002, A neural nonlinear adaptive filter with a trainable activation function, New York, 6th seminar on neural network applications in electrical engineering, University of Belgrade, Faculty of Electrical Engineering, Belgrade, Yugoslavia, 26 - 28 September 2002, Publisher: IEEE, Pages: 7-10

Conference paper

Mandic DP, Hanna AI, Razaz M, 2001, A normalized gradient descent algorithm for nonlinear adaptive filters using a gradient adaptive step size, IEEE SIGNAL PROCESSING LETTERS, Vol: 8, Pages: 295-297, ISSN: 1070-9908

Journal article

Foxall R, Krcmar I, Cawley G, Dorling S, Mandic DPet al., 2001, Nonlinear modelling of air pollution time series, New York, IEEE international conference on acoustics, speech, and signal processing (ICASSP), Salt Lake City, Utah, 7 - 11 May 2001, Publisher: IEEE, Pages: 3505-3508

Conference paper

Mandic DP, Chambers JA, 2001, Recurrent neural networks for prediction: learning algorithms, architectures and stability, Chichester, Publisher: John Wiley, ISBN: 9780471495178

Book

Foxall R, Krcmar I, Cawley G, Dorling S, Mandic DPet al., 2001, On nonlinear processing of air pollution data, Vienna, International conference on artificial neural networks and genetic algorithms (ICANNGA), Prague, Czech Republic, 22 - 25 April 2001, Publisher: Springer-Verlag Wien, Pages: 477-480

Conference paper

Cawley GC, Dorling SR, Foxall RJ, Mandic DPet al., 2001, Estimating the costs associated with worthwhile predictions of poor air quality, Vienna, International conference on artificial neural networks and genetic algorithms (ICANNGA), Prague, Czech Republic, 22 - 25 April 2001, Publisher: Springer-Verlag Wien, Pages: 485-488

Conference paper

Krcmar IR, Mandic P, Foxall RJ, 2001, On predictability of atmospheric pollution time series, 5th international conference on artificial neural networks and genetic algorithms, Prague, Czech Republic, April 2001, Publisher: Springer-Verlag, Pages: 481-484

Conference paper

Mandic DP, Krcmar IR, 2001, Stability of NNGD algorithm for nonlinear system identification, Electronics Letters, Vol: 37, Pages: 200-201, ISSN: 0013-5194

Journal article

Babic Z, Mandic DP, 2001, Fast algorithm for linear convolution of discrete time signals (Invited paper), Facta Universitatis.Series Electronics and Energetics, Vol: 14, Pages: 399-409, ISSN: 0353-3670

Journal article

Radojicic I, Mandic D, Vulic D, 2001, On the presence of deterministic chaos in HRV signals, New York, 28th annual meeting on computers in cardiology, Rotterdam, Netherlands, 23 - 26 September 2001, Publisher: IEEE, Pages: 465-468

Conference paper

Hanna AI, Mandic DP, Razaz M, 2001, A normalised backpropagation learning algorithm for multilayer feed- forward neural adaptive filters, New York, 11th IEEE workshop on neural networks for signal processing (NNSP 2001), Falmouth, Massachusetts, 10 - 12 September 2001, Publisher: IEEE, Pages: 63-72

Conference paper

Radojicic I, Mandic D, Vulic D, 2001, Searching for an optimal time delay in a state-space reconstruction of a heart rate variability signal, Zagreb, 9th Mediterranean conference on medical and biological engineering and computing, Pula, Croatia, 12 - 15 June 2001, Publisher: Univ Zagreb, Pages: 893-896

Conference paper

Krcmar IR, Mandic DP, 2001, A fully adaptive normalized nonlinear gradient descent algorithm for nonlinear system identification, New York, IEEE international conference on acoustics, speech, and signal processing (ICASSP), Salt Lake City, Utah, 7 - 11 May 2001, Publisher: IEEE, Pages: 3493-3496

Conference paper

Babic Z, Mandic DP, 2001, A fast algorithm for linear convolution of discrete time signals, New York, 5th international conference on telecommunications in modern satellite, cable and broadcasting service, Nish, Yugoslavia, 19 - 21 September 2001, Publisher: IEEE, Pages: 595-598

Conference paper

Bozic MM, Mandic DP, 2001, A fully adaptive algorithm for FFNNs, Proceedings of the IX international conference on control and automation- MED'01, 2001

Conference paper

Mandic DP, Krcmar IR, Sherliker W, Smith Get al., 2001, A data-reusing stochastic approximation algorithm for neural adaptive filters, Vienna, International conference on artificial neural networks and genetic algorithms (ICANNGA), Prague, Czech Republic, 22 - 25 April 2001, Publisher: Springer-Verlag Wien, Pages: 422-425

Conference paper

Mandic DP, Harvey R, Kolonic DH, 2000, On the choice of tactile code, Pages: 195-198

Tactile codes and devices are widely used in virtual reality, robotics, telemanipulation, by blind and sighted people. Based upon the Braille code, we provide a rigorous analysis of tactile spatial codes, and propose a code that is improved in the information theoretical sense. Based upon the criterion of a minimum average code word weight, we derive a code that provides improved reliability and longer lifetime of tactile devices. Such an approach can be also employed for robot hands, and tactile feedback in virtual reality and dextrous telemanipulation.

Conference paper

Mandic DP, 2000, Use of Mobius transformations in neural networks and signal processing, Neural Networks for Signal Processing - Proceedings of the IEEE Workshop, Vol: 1, Pages: 185-194

A framework for the use of Mobius transformations in general neural networks (NNs) and signal processing is provided. It is first shown that both a nonlinear activation function of a neuron and a first order all-pass filter section can be considered as Mobius transformations. Further, the global input-output relationship in layered NNs is shown to belong to a modular group of compositions of Mobius transformations, whereas cascaded all-pass digital filters are shown to represent the Blaschke product of Mobius transformations. Finally, Routh stability in nonlinear field filters is briefly addressed in this context. For rigour, existence and uniqueness of such an approach is considered.

Journal article

Mandic DP, Chambers JA, 2000, On stability of relaxive systems described by polynomials with time-variant coefficients, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, Vol: 47, Pages: 1534-1537, ISSN: 1057-7122

Journal article

Mandic DP, Chambers JA, 2000, A normalised real time recurrent learning algorithm, SIGNAL PROCESSING, Vol: 80, Pages: 1909-1916, ISSN: 0165-1684

Journal article

Mandic DP, Chambers JA, 2000, Advanced RNN based NARMA predictors, 8th IEEE Workshop on Neural Networks for Signal Processing, Publisher: SPRINGER, Pages: 105-117, ISSN: 0922-5773

Conference paper

Mandic DP, Chambers JA, 2000, Relationships between the a priori and a posteriori errors in nonlinear adaptive neural filters, NEURAL COMPUTATION, Vol: 12, Pages: 1285-1292, ISSN: 0899-7667

Journal article

Mandic DP, 2000, NNGD algorithm for neural adaptive filters, Electronics Letters, Vol: 36, Pages: 845-846, ISSN: 0013-5194

A novel normalised nonlinear gradient descent (NNGD) algorithm for training neural adaptive feedforward filters is presented. The algorithm is based on minimisation of the instantaneous prediction error for contractive activation functions of a neuron, and provides an adaptive learning rate. Normalisation is performed via calculation of the product of the tap input power to the filter and the squared first derivative of the activation function of a neuron. The NNGD algorithm outperforms a gradient based algorithm for use in a neural adaptive filter, as well as the standard least mean squares (LMS) and normalised LMS algorithms. To support the analysis, simulation results on real speech are provided.

Journal article

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