Publications
Selected Publications
- Books
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D. P. Mandic and S. L. Goh, Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models, Research Monograph in the Wiley Series in Adaptive and Learning Systems for Signal Processing, Communications, and Control, ISBN-10: 0470066350, John Wiley & Sons, 2009.
- D. P. Mandic, M. Golz, A. Kuh, D. Obradovic, and T. Tanaka (Editors), Signal Processing Techniques for Knowledge Extraction and Information Fusion, ISBN-10: 0387743669, Springer, 2008.
- D. P. Mandic and J. A. Chambers, Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures, and Stability, Wiley Series in Adaptive and Learning Systems for Signal Processing, Communications, and Control, ISBN 0471495174 (Print), John Wiley & Sons, 2001.
- Edited Volumes
- W. Duch and D. P. Mandic, Guest Editors, Special Issue of Elsevier Neural Networks entitled "Computational Biologically Inspired Neural Networks", vol. 21, no. 6, 2008.
- D. Ergodmus, D. P. Mandic, and T. Tanaka, Guest Editors, Special Issue of Elsevier Neurocomputing entitled "Advances in Blind Signal Processing", vol. 71, no. 10-12, 2008.
- D. P. Mandic and D. Obradovic, Guest Editors, Special Issue of Journal of VLSI Signal Processing (Springer) entitled "Data Fusion for Industrial, Biomedical and Environmental Applications", vol. 49, no. 2, 2007.
- A. K. Barros, D. P. Mandic and J. Larsen, Guest Editors, Special Issue of Journal of VLSI Signal Processing (Springer), entitled "Machine Learning for Signal Processing", to vol. 45, no. 1, October 2006
- Refereed Journals
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C. Cheong Took and D. P. Mandic,"The Quaternion LMS Algorithm for Adaptive Filtering of
Hypercomplex Processes", IEEE Transactions on Signal
Processing, vol. 57, no. 4, pp. 1316-1327, 2009.
- W. Y. Leong and D. P. Mandic,"Noisy Component Extraction (NoiCE)", accepted for publication in IEEE Transactions on Circuits and Systems I, May 2009.
- C. Cheong Took and D. P. Mandic,"Adaptive IIR Filtering of Noncircular Signals", IEEE Transactions on Signal
Processing, vol. 57, no. 10, pp. 4111-4118, 2009.
- Y. Hirata, D. P. Mandic, H. Suzuki, and K. Aihara, "A Collaborative Approach to the Modelling of Real World Vector Fields: redicting the Wind Direction", accepted for the Philosophical Transactions of the Royal Society, March 2007.
- S. L. Goh and D. P. Mandic "An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks", Neural Computation, vol. 19, no. 4, pp. 1-17, 2007.
- W. Liu, D. P. Mandic, and A. Cichocki, "Blind Second-order Source Extraction of Instantaneous Noisy Mixtures", IEEE Transactions on Circuits and Systems II, vo;. 53, no. 9, pp. 931-935, 2006.
- S. L. Goh, M. Chen, D. H. Popovic, K. Aihara, D. Obradovic and D. P. Mandic, "Complex Valued Forecasting of Wind Profile", Renewable Energy, vol. 31, pp. 1733-1750, 2006.
- S. L. Goh and D. P. Mandic, "Nonlinear Adaptive Prediction of Complex Valued Nonstationary Signals", IEEE Transactions on Signal Processing, Vol. 53, No. 5, pp. 1827--1836, 2005.
- S. L. Goh and D. P. Mandic, "A General Complex RTRL Algorithm for Nonlinear Adaptive Filters", Neural Computation, Vol. 16, No. 12, pp. 2699-2713, 2004.
- T. Gautama, D. P. Mandic, and M. M. Van Hulle, "The Delay Vector Variance Method for Detecting Determinism and Nonlinearity in Time Series", Physica D, Vol. 190, pp. 167-176, 2004.
- T. Gautama, D. P. Mandic, and M. M. Van Hulle, "A Novel Method for Determining the Nature of Time Series", IEEE Transactions on Biomedical Engineering, Vol. 51, No. 5, pp. 728-736, 2004.
- T. Gautama, D. P. Mandic, and M. M. Van Hulle, "On the Analysis of Nonlinearity in fMRI Signals: Comparing BOLD to MION", IEEE Transactions on Medical Imaging, Vol. 22, No. 5, pp. 636-644, 2003.
- A. I. Hanna and D. P. Mandic, "A General Fully Adaptive Normalised Gradient Descent Learning Algorithm For Complex-Valued Nonlinear Adaptive Filters", IEEE Transactions on Signal Processing, Vol. 51, No. 10, pp. 2540-2549,2003.
- T. Gautama, D. P. Mandic, and M. M. Van Hulle, "On the Indications of Nonlinear Structures in Brain Electrical Activity", Physical Review E, Vol. 67, No. 4, pp. 046204 1 046204 5, 2003.
- D. P. Mandic, "Data Reusing Recurrent Neural Adaptive Filters", Neural Computation, Vol. 14, No. 11, 2693-2708,2002.
- D. P. Mandic and J. A. Chambers, "On the Choice of Parameters of the Cost Function in Nested Modular RNNs", IEEE Transactions on Neural Networks, Vol. 11, No. 2, pp. 315-322, 2000.
- D. P. Mandic and J. A. Chambers, "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, No. 10, pp. 1534-1537, 2000.
- D. P. Mandic and J. A. Chambers, "Relationship Between the Slope of the Activation Function and the Learning Rate for the RNN", Neural Computation, Vol. 11, No. 5, pp. 1069-1077, 1999.
- D. P. Mandic and J. A. Chambers, "A Posteriori Real Time Recurrent Learning Schemes for a Recurrent Neural Network Based Nonlinear Predictor", IEE Proceedings - Vision, Image and Signal Processing, Vol. 145, No. 6, pp. 365-370, 1998.