Machine Learning in Signal Processing

In the field of Machine Learning in Signal Processing, convex optimization based and deep learning based algorithms are analyzed mathematically. The goal is to understand why these methods work well, and, based on this understanding, propose further improvements. The methods are also used to solve practical problems. The applications include: image processing in self-driving cars, point cloud segmentation algorithms, feature detection and image enhancement for geographic surveillance, signal processing for hearing aid devices, super-resolution microscopy.