MSc in Engineering in Electrical and Computer Engineering - Signal and Image Processing and Machine Learning (Computational Imaging and Inverse Problems) in Ann Arbor United States | University of Michigan Ann Arbor

Signal processing is a vast engineering field focused on retrieving, modifying, and preserving data contained within intricate signals and visual data. Techniques in this domain encompass: information compression, analog-to-digital transformation, signal and image recovery/enhancement, dynamic filtering, decentralized sensing and computation, and machine-driven pattern recognition. Spanning from the initial development of the fast Fourier transform (FFT) to contemporary widespread MP3/JPEG/MPEG compression standards, signal processing has fueled numerous innovations that enhance modern life. Applications include: advanced medical imaging systems (techniques for heart scans and cross-modal image alignment), digital sound technology (MP3 players and noise-reducing headphones), satellite navigation (GPS and location-enabled mobile devices), smart vehicle sensors (airbag triggers and crash detection systems), multimedia gadgets (handheld devices and smartphones), and digital forensics (online surveillance and voice recognition systems). The University of Michigan approaches signal processing as a scientific discipline where novel techniques are mathematically formulated and applied through core principles that enable anticipation of a method's performance boundaries and reliability. UM's signal processing investigations are pioneering fresh models, approaches, and innovations that will keep influencing diagnostic and treatment medicine, radar technology, sensor networks, visual data compression, telecommunications, and other sectors.