Rutkowski, Tomasz M., Cichocki, Andrzej, Mandic, Danilo P.
APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Oral session: Advances in Signal Processing for Brain...
1 Collaborative Adaptive Filters for Online Knowledge Extraction and Information Fusion (2008)
Beth Jelfs, Phebe Vayanos, Soroush Javidi, Vanessa Su, Lee Goh, Danilo P. Mandic
We present a method for extracting information (or knowledge) about the nature of a signal, this is achieved by employing recent developments in signal characterisation for online analysis of the...
A Novel Method for Determining the Nature of Time Series (2007)
Temujin Gautama, Danilo P. Mandic, Danilo P. M
The Delay Vector Variance (DVV) method, which analyses the nature of a time series with respect to the prevalence of deterministic or stochastic components, is introduced. Due to the standardisation...
Signal Nonlinearity in fMRI: A Comparison between BOLD and MION (2007)
Temujin Gautama, Danilo P. Mandic, Danilo P. M
In this article, we introduce a methodology for comparing the nonlinearities present in sets of time series using four different nonlinearity measures, one of which, the `Delay Vector Variance'...
An Implementation of Nonlinear Multiuser Detection in Rayleigh Fading Channel (2006)
Wai Yie Leong, John Homer, Danilo P. Mandic
A blind nonlinear interference cancellation receiver for code-division multiple-access- (CDMA-) based communication systems operating over Rayleigh flat-fading channels is proposed. The receiver...
An implementation of nonlinear multiuser detection in Rayleigh fading channel (2006)
Leong, Wai Yie, Homer, John, Mandic, Danilo P.
A blind nonlinear interference cancellation receiver for code-division multiple-access- (CDMA-) based communication systems operating over Rayleigh flat-fading channels is proposed. The receiver...
An Implementation of Nonlinear Multiuser Detection in Rayleigh Fading Channel (2006)
Wai Yie Leong, John Homer, Danilo P. Mandic
A blind nonlinear interference cancellation receiver for code-division multiple-access- (CDMA-) based communication systems operating over Rayleigh flat-fading channels is proposed. The receiver...
A novel method for determining the nature of time series (2004)
The delay vector variance (DVV) method, which analyzes the nature of a time series with respect to the prevalence of deterministic or stochastic components, is introduced. Due to the standardization...
The Delay Vector Variance Method for Detecting Determinism and Nonlinearity in Time Series (2004)
Temujin Gautama, Danilo P. Mandic
A novel `Delay Vector Variance' (DVV) method for detecting the presence of determinism and nonlinearity in a time series is introduced. The method is based upon the examination of local...
Temujin Gautama, Danilo P. Mandic, Danilo P. M
Most statistical signal nonlinearity analyses adopt the Monte-Carlo approach proposed by Theiler and co-workers, namely the `surrogate data' method. A surrogate time series, or `surrogate'...
Signal nonlinearity in fMRI: a comparison between BOLD and MION (2003)
In this paper, we introduce a methodology for comparing the nonlinearities present in sets of time series using four different nonlinearity measures, one of which, the "delay vector variance" method,...
Indications of nonlinear structures in brain electrical activity (2003)
The dynamical properties of electroencephalogram (EEG) segments have recently been analyzed by Andrzejak and co-workers for different recording regions and for different brain states, using the...
Spatially Adaptive Image Restoration by Neural Network Filtering (2002)
Alex S. Palmer, Moe Razaz, Danilo P. Mandic
When using a regularized approach for image restora-tion there is always a compromise between image sharpness and noise suppression. Therefore, the main problem is to remove as much noise as possible...
Estimating the Costs Associated with Worthwhile Predictions of Poor Air Quality (2001)
Gavin C. Cawley, Stephen R. Dorling, Robert J. Foxall, Danilo P. Mandic
In this study we investigate the eect of varying the ratio of false-positive and false-negative misclassi cation costs on the sensitivity and selectivity of binary predictions of exceedences of...