MSc 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, adaptive filtering, decentralized sensing and processing, and automated pattern recognition. From the initial development of the fast Fourier transform (FFT) to modern widespread compression standards like MP3/JPEG/MPEG, signal processing has powered numerous innovations that enhance daily life. Applications span: medical imaging systems (cardiac scan algorithms and multi-modal image alignment), digital audio technology (MP3 players and noise-canceling headphones), navigation systems (GPS and location-enabled mobile devices), smart vehicle sensors (airbag triggers and crash detection systems), multimedia gadgets (PDAs and smartphones), and digital forensics (online surveillance and voice recognition). The University of Michigan approaches signal processing as a scientific discipline where novel techniques are mathematically developed and applied using core principles that enable performance evaluation and reliability assessment. UM's signal processing research is pioneering innovative models, methodologies, and technologies that will further influence medical diagnostics, radar systems, sensor networks, visual data compression, telecommunications, and other critical fields.