MSc in Engineering in Electrical and Computer Engineering - Signal and Image Processing and Machine Learning (Signal Processing for Sensing and Sensor Networks) 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. Spanning from the initial development of the fast Fourier transform (FFT) to modern widespread MP3/JPEG/MPEG compression standards, signal processing has fueled numerous innovations that enhance daily life. Applications include: advanced medical imaging systems (cardiac scan algorithms and multi-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 developed and applied through core principles, enabling accurate performance forecasting and reliability assessment. UM's signal processing research pioneers innovative models, methodologies, and technologies that will further influence medical diagnostics and treatments, radar systems, sensor networks, visual data compression, telecommunications, and other critical sectors.