Signal Processing Advances Consumer Electronics: New Research Impacts and Improves the Way Users Interact With Mobile and Wearable Devices in Daily Life

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

Signal Processing Advances Consumer Electronics: New Research Impacts and Improves the Way Users Interact With Mobile and Wearable Devices in Daily Life

John Edwards

Signal processing has played a foundational role in the consumer electronics revolution of the past several decades. Mobile devices, smart-home technologies, digital cameras, and countless other cutting-edge products have benefited from signal processing-enabled innovations.

Signal processing’s impact on consumer technologies shows no signs of slowing down. In fact, in areas ranging from wireless communication to personal health and fitness devices to virtual reality systems, signal processing continues to serve as an essential and irreplaceable tool.

The wireless world is growing rapidly and so are the number of wireless technologies. To address the need for mobile devices that can seamlessly and efficiently accommodate communication on multiple bands, Cornell University engineers have developed a single-chip method for transmitting and receiving radio signals across a wide range of frequencies (Figure 1).

Building multiband support into ever-smaller communication devices, potentially down to the size of wearables, is not easy because each band requires a filter to block strong transmit signals from drowning out reception. A new software-defined distributed duplex technology, developed by Alyssa Apsel, a Cornell professor of electrical and computer engineering, and Alyosha Molnar, a Cornell associate professor of electrical and computer engineering, addresses this challenge. The technology they developed integrates all of the components necessary for multiband operation onto a single, field-programmable gate array (FPGA), an integrated circuit that can be programed in the field after manufacture.

SPS on Twitter

  • DEADLINE EXTENDED: The 2023 IEEE International Workshop on Machine Learning for Signal Processing is now accepting…
  • ONE MONTH OUT! We are celebrating the inaugural SPS Day on 2 June, honoring the date the Society was established in…
  • The new SPS Scholarship Program welcomes applications from students interested in pursuing signal processing educat…
  • CALL FOR PAPERS: The IEEE Journal of Selected Topics in Signal Processing is now seeking submissions for a Special…
  • Test your knowledge of signal processing history with our April trivia! Our 75th anniversary celebration continues:…

SPS Videos

Signal Processing in Home Assistants


Multimedia Forensics

Careers in Signal Processing             


Under the Radar