Thesiss

Regularization techniques have become a principled tool for model-based statistics and artificial intelligence research. However, in most situations, these regularization terms are not well interpreted, especially on how they are related to the loss function and data matrix in a…

It is usually assumed that the parameters of an optimization problem to be known numbers or scalars. Accordingly, the objective function value is a scalar or a point value. However, in real life, the parameters may not be known exactly and all we know about them is that they fal…

The speech signal is comprised of many levels of information in addition to the text content itself, such as speaker information (e.g., dialect/accent, gender, emotion, age, identity) and environment information (e.g., channel, background noise, room conditions). This thesis foc…

Wireless communications have experienced tremendous growth in the last decade, which has placed significant demand for RF spectrum, leading to spectrum "crunch." Driven by numerous studies that revealed the significant under-utilization of many licensed channels in the VHF and U…