Signal Processing (SP)
Overview
Topics
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Theory and Algorithms
Adaptive signal processing, machine learning, and signal modeling; indexing, searching, and retrieval; Multirate and multi-channel processing; Restoration and enhancement; Signal analysis, identification, spectral estimation, and understanding; Signal representation, compression, coding, quantization and sampling; Statistical signal processing, detection, estimation, and classification; Watermarking, encryption, and data hiding; Wavelets, filter banks, time frequency techniques
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Signal Processing Applications
Audio, speech, image, and video processing; graphics; Biological & biomedical signals; Computer vision; Radar and lidar; Geophysical signals; Synthetic signals; Astronomical signals
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Signal Processing Systems
VLSI architectures; Embedded and real-time software; Capture, acquisition, and sensing; Sensor networks; Imaging; Auditory enhancement
Research Centers
Faculty
Primary
- Gopala Krishna Anumanchipalli
- Steven Conolly
- Jiantao Jiao
- Chunlei Liu
- Michael Lustig
- Song Mei
- Kannan Ramchandran (coordinator)
- Benjamin Recht
- Anant Sahai
- Martin Wainwright
- Laura Waller
- Bin Yu
- Avideh Zakhor
Secondary
- Venkat Anantharam
- Babak Ayazifar
- Brian A. Barsky
- Peter Bartlett
- Thomas F. Budinger
- Laurent El Ghaoui
- Michael Jordan
- Preeya Khanna
- Edward A. Lee
- Yi Ma
- Jitendra Malik
- David G. Messerschmitt
- Nelson Morgan
- Ren Ng
- Ali Niknejad
- Jan M. Rabaey
- Gireeja Ranade
- S. Shankar Sastry
- Stella Yu
Faculty Awards
- National Academy of Sciences (NAS) Member: Jitendra Malik, 2015. Bin Yu, 2014. Michael Jordan, 2010.
- National Academy of Engineering (NAE) Member: Jitendra Malik, 2011. Michael Jordan, 2010. S. Shankar Sastry, 2001. Thomas F. Budinger, 1996. David G. Messerschmitt, 1990.
- American Academy of Arts and Sciences Member: Jitendra Malik, 2013. Bin Yu, 2013. Michael Jordan, 2010. S. Shankar Sastry, 2003.
- Berkeley Citation: S. Shankar Sastry, 2018. Edward A. Lee, 2018. David G. Messerschmitt, 2005. Thomas F. Budinger, 2004.
- Sloan Research Fellow: Preeya Khanna, 2024. Ren Ng, 2017. Michael Lustig, 2013. Benjamin Recht, 2011. Martin Wainwright, 2005.
Related Courses
- EECS 126. Probability and Random Processes
- EE 120. Signals and Systems
- EE 123. Digital Signal Processing
- EE 126. Probability and Random Processes
- EE C145B. Medical Imaging Signals and Systems
- EE 221A. Linear System Theory
- EE C225E. Principles of Magnetic Resonance Imaging
- EE 290T. Advanced Topics in Electrical Engineering: Advanced Topics in Signal Processing