This document lists several signal processing projects completed for IEEE in 2015. It includes projects on topics like target source separation using deep neural networks and NMF, image denoising using non-local means and a soft threshold, improving fingerprint image quality in the wavelet domain, brain MRI segmentation using discriminative clustering and feature selection, dynamic texture classification using hidden Markov models, an EEG-based biometric system using eigenvector centrality in brain networks, and cooperative mesh networks with decode-and-forward relays. The projects are implemented in languages like Matlab, C#, and NS2 and cover techniques such as NMF, deep neural networks, wavelets, hidden Markov models, and more.