The pathogenesis underlining many neurodegenerative diseases remains incompletely
understood. The lack of effective biomarkers and disease preventative medicine demands …

1.1. Protein Folding Problem An understanding of the mechanism (s) of protein folding,
whereby the ribosome synthesized biopolymer folds into its native protein, is arguably one of …

Introduction to Petroleum Seismology, second edition, provides the theoretical and practical
foundation for tackling present and future challenges of petroleum seismology, especially …

A new algorithmic framework called denoising source separation (DSS) is introduced. The
main benefit of this framework is that it allows for the easy development of new source …

Of the two primary approaches to the classic source separation problem, only one does not
impose potentially unreasonable model and likelihood constraints: the Bayesian statistical …

We present a Bayesian approach for blind separation of linear instantaneous mixtures of
sources having a sparse representation in a given basis. The distributions of the coefficients …

We propose a novel approach to restoring digital document images, with the aim of
improving text legibility and OCR performance. These are often compromised by the …

Conventional speaker localization algorithms, based merely on the received microphone
signals, are often sensitive to adverse conditions, such as: high reverberation or low signal …

We propose an analytical approximation for the dependence of the effective charge on the
bare charge for spherical and cylindrical macro-ions as a function of the size of the colloid …

The fundamental area of research in this thesis is Independent Component Analysis (ICA).
ICA is a tool for discovering structure and patterns in data by factoring a multidimensional …