Welcome to the Digital Signal Processing (DSP) group at Rice University. The DSP group has been actively teaching courses, conducting research, and publishing results since 1968.


Friday March 18, 2016
Rice University – Duncan Hall

Register through the following link: https://signup.rice.edu/spar2016

8:00 AM Breakfast

9:00 AM Lightning Talks
- My/A cool new result
- What I want to get out of today
- Something that I want to share

10:30 AM Coffee Break

11:30 AM Preview afternoon panels

12:00 PM Lunch

1:00 PM Panel sessions 1, 2, 3, 4 (30 minutes each)

3:00 PM Coffee Break

3:30 PM Panel Sessions 5, 6, 7 (30 minutes each)

5:00 PM Wrap up and plans for next year

7:00 PM Dinner at El Real, 1201 Westheimer

John Treichler with Sidney Burrus

John Treichler, Rice DSP alum, distinguished visiting professor, and pioneer in the development of digital signal processing (DSP), has been elected to the National Academy of Engineering (NAE).

Now the president of Raytheon Applied Signal Technology of Sunnyvale, Calif., Treichler was cited by the NAE for his “contributions to digital signal processing and its applications to national intelligence gathering.” John is celebrated for inventing the “constant modulus” adaptive filtering algorithm, which is used to compensate for interference, such as multipath echoes, on communication signals.


How thin can a camera be? Very, say Rice University researchers who have developed patented prototypes of their technological breakthrough.

FlatCam, invented by the labs of Rice DSP faculty members Richard Baraniuk and Ashok Veeraraghavan, is little more than a thin sensor chip with a mask that replaces the lenses in a traditional camera.

Making it practical are the sophisticated computer algorithms that process what the sensor detects and converts the sensor measurements into images and videos.

More info

Some press at Futurity and NBC News

Digital Signal Processing (http://dsp.rice.edu) is looking for one or more post-doctoral researchers with expertise in computational imaging, signal processing, optics, computer vision and/or machine learning. The candidates must have a PhD in signal processing, optics, computational imaging, computer vision, or machine learning. The candidates will work with Prof. Richard Baraniuk and Prof. Ashok Veeraraghavan on projects that are at the intersection of signal processing, and computational imaging. The candidates will become project leads on one or more projects, and work closely with graduate and undergraduate students. In addition, they will participate in fundraising, preparing them for their future career in a leadership role either in academia or in the industry. Interested candidates should send an email to vashok@rice.edu with the subject "Post-doc position in DSP Group".

Rice University, MS-380 - 6100 Main St - Houston, TX 77005 - USA - webmaster-dsp@ece.rice.edu