Danilo Mandic
Danilo Mandic
Department of Electrical and Electronic Engineering, Imperial College London, United Kingdom
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
Tensor decompositions for signal processing applications: From two-way to multiway component analysis
A Cichocki, D Mandic, L De Lathauwer, G Zhou, Q Zhao, C Caiafa, ...
IEEE signal processing magazine 32 (2), 145-163, 2015
Recurrent neural networks for prediction: Architectures, learning algorithms and stability
DP Mandic, JA Chambers
Wiley, 2001
Multivariate empirical mode decomposition
N Rehman, DP Mandic
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2010
Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models
DP Mandic, VSL Goh
Wiley, 2009
Tensor networks for dimensionality reduction and large-scale optimization: Part 1 low-rank tensor decompositions
A Cichocki, N Lee, I Oseledets, AH Phan, Q Zhao, DP Mandic
Foundations and Trends® in Machine Learning 9 (4-5), 249-429, 2016
Filter bank property of multivariate empirical mode decomposition
N Ur Rehman, DP Mandic
IEEE transactions on signal processing 59 (5), 2421-2426, 2011
Empirical mode decomposition-based time-frequency analysis of multivariate signals: The power of adaptive data analysis
DP Mandic, N Ur Rehman, Z Wu, NE Huang
IEEE signal processing magazine 30 (6), 74-86, 2013
Complex empirical mode decomposition
T Tanaka, DP Mandic
IEEE Signal Processing Letters 14 (2), 101-104, 2007
Biometrics from brain electrical activity: A machine learning approach
R Palaniappan, DP Mandic
IEEE transactions on pattern analysis and machine intelligence 29 (4), 738-742, 2007
Multivariate multiscale entropy: A tool for complexity analysis of multichannel data
MU Ahmed, DP Mandic
Physical Review E 84 (6), 061918, 2011
A generalized normalized gradient descent algorithm
DP Mandic
IEEE signal processing letters 11 (2), 115-118, 2004
The quaternion LMS algorithm for adaptive filtering of hypercomplex processes
CC Took, DP Mandic
IEEE Transactions on Signal Processing 57 (4), 1316-1327, 2008
Classification of motor imagery BCI using multivariate empirical mode decomposition
C Park, D Looney, N ur Rehman, A Ahrabian, DP Mandic
IEEE Transactions on neural systems and rehabilitation engineering 21 (1), 10-22, 2012
Empirical mode decomposition for trivariate signals
N ur Rehman, DP Mandic
IEEE Transactions on signal processing 58 (3), 1059-1068, 2009
Tensor networks for dimensionality reduction and large-scale optimization. Part 2: Applications and future perspectives
DPM A. Cichocki, A.-H. Phan, Q. Zhao, N. Lee, I. Oseledets, M. Sugiyama
Foundations & Trends in Machine Learning 9 (6), 431-673, 2017
The in-the-ear recording concept: User-centered and wearable brain monitoring
D Looney, P Kidmose, C Park, M Ungstrup, ML Rank, K Rosenkranz, ...
IEEE pulse 3 (6), 32-42, 2012
Augmented second-order statistics of quaternion random signals
CC Took, DP Mandic
Signal Processing 91 (2), 214-224, 2011
Multiscale image fusion using complex extensions of EMD
D Looney, DP Mandic
IEEE Transactions on Signal Processing 57 (4), 1626-1630, 2009
Multivariate multiscale entropy analysis
MU Ahmed, DP Mandic
IEEE signal processing letters 19 (2), 91-94, 2011
A quaternion gradient operator and its applications
DP Mandic, C Jahanchahi, CC Took
IEEE Signal Processing Letters 18 (1), 47-50, 2010
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Artikkelit 1–20