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Section: Publications & Resources
IEEE has announced the 2012 recipients of the IEEE Technical Field Awards. Signal Processing Society members were recipients of 5 of the 25 Technical Field Awards and are marked with an asterisk below.
The IEEE James L. Flanagan Speech and Audio Processing Award recognizes outstanding contributions to the advancement of speech and/or audio signal processing.
Section: Publications & Resources
The SPS Awards Board is now accepting nominations for 2011 major SPS awards. Prospective nominators are encouraged to submit nominations well in advance of the deadline of 1 October 2011.
Section: Publications & Resources
The IEEE Signal Processing Society Chapter of the Year Award will be presented for the first time in 2012. The award will be presented annually to a Chapter that has provided their membership with the highest quality of programs, activities and services. The award will be presented annually in conjunction with the International Conference on Acoustics, Speech and Signal Processing (ICASSP) to the Chapter's representative. The award will consist of a certificate and a check in the amount of $1,000 to support local chapter activities.
Section: Publications & Resources
The Stack Exchange series of Question and Answer web-sites recently launched the private beta of its Signal Processing site. The aim is for DSP practitioners to pose questions and have them answered by the wider signal processing community.
The URL for the site is:
http://dsp.stackexchange.com/
The Stack Exchange format was popularized by the programming-related Stack Overflow site:
http://stackoverflow.com/
Section: Publications & Resources
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Section: Publications & Resources
Kapil Gulati (The University of Texas at Austin), “Radio Frequency Interference Modeling and Mitigation in Wireless Receivers”, Advisor: Prof. Brian L. Evans (2011)
Wireless receivers are affected by interference generated from external sources such as other wireless users and internal sources such as switching electronics. This interference is well-modeled using non-Gaussian statistics and can severely degrade communication performance of receivers designed under an assumption of additive Gaussian noise.
Section: Publications & Resources
Fang Lu (Hong Kong University of Science and Technology), “Digital Image and Video Processing Using Subpixel Rendering”, Advisor: Oscar C. AU (2011)
In this thesis, the author is concerned about image/video processing using subpixel techniques to achieve superior sharpness for small LCD displays. Such a problem exists when a high resolution image or video is to be displayed on low resolution display terminals (i.e., Mobile).
