Circuits and signal processing
Circuits and signal processing research looks to enhance the speed, reliability, energy-efficiency, manufacturability, and computer-aided design of circuits and systems. Design, modeling, and testing are integral parts of this process.
Current research projects include robust, low-power nanoscale integrated circuit design, systems-on-a-chip design for wireless communications, DSP-enhanced high-speed mixed-signal integrated circuit design, and the physics of integrated circuit failure. Work on computer-aided design includes hardware/software co-design, high-level and logic synthesis, compact modeling, physical design, and design for manufacturing.
Technology interacts with the world by detecting, transcoding, understanding and generating time-dependent and space-dependent signals in optical, electrical, textual, chemical, and acoustic media. Signal processing is a discipline of applied mathematics, concerned with the optimal detection, transcoding, understanding, and generation of signals. Current research projects include high-accuracy and/or high-efficiency processing of speech, audio, image and video signals, human-computer intelligent interaction, and visual analytics in domains including geospatial, social networking, free-field audio, bioelectric, and biomedical imaging.
Faculty with primary interest in this area
Faculty with secondary interest in this area
Research topics in this discipline
- Adaptive signal processing
- Analog integrated circuits
- Computed imaging systems
- Computer aided design of integrated circuits
- Device modeling
- Digital integrated circuits
- Image, video, and multimedia processing and compression
- Integrated circuit reliability
- Machine learning and pattern recognition
- Speech processing
- VLSI architectures and integrated circuits for DSP and communications
- Watermarking and information forensics
The number of graduate students enrolled during the 2015-16 school year.