Communication and Signal Processing
Communication and signal processing are the science behind our connected digital lives.
In this field, engineers apply advanced knowledge of mathematics and science toward the economical design of communication networks and data transmission. Signal processing is an enabling technology that encompasses the fundamental theory, applications, algorithms, and implementations of information processing. Both disciplines develop and analyze mathematical and statistical models of the physical world.
Examples of today’s communication and signal processing technologies abound: Big Data, machine learning, mobile wireless, speech recognition, audio engineering, image analysis, data security, wearable technology, information forensics, genomics, medical imaging, radar, and more.
The Ohio State University has been home to innovative contributions in mobile wireless, video streaming, high-dimensional inference, cardiac MRI, wearable biosensors, and radar imaging. A broad set of technical courses is offered, encompassing both system-oriented courses and theoretical preparation for PhD research.
Graduates pursue career paths in academics, consumer products, biomedicine, and defense/security, as well as start-up ventures. Recent employers include QualComm, Nvidia, Google, Microsoft, Lincoln Laboratories, Ford Motor, Nationwide Children’s Hospital, Bose, Intel, US Air Force Research Laboratory, Broadcom, and more.