It is becoming increasingly common to collect multiple related neuroimaging datasets either
from different modalities or from different tasks and conditions. In addition, we have non …

Identification of informative signatures from electrophysiological signals is important for
understanding brain developmental patterns, where techniques such as …

Independent vector analysis (IVA) is an attractive solution to address the problem of joint
blind source separation (JBSS), that is, the simultaneous extraction of latent sources from …

Data-driven methods, such as those based on independent component analysis (ICA), make
very few assumptions on the data and the relationships of the datasets, and hence have …

Recent advancements in modern transportation have led to the active development of
various biomedical signal and medical imaging technologies. Particularly, in the field of …

The overall goal with of thesis is to develop and implement models for Raman spectroscopy
for accurate extraction of spectral characteristics in the observed signal. Raman …