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DSP/SPE 2013 : 2013 IEEE Digital Signal Processing and Signal Processing Education Meeting

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Link: http://dspe2013.engr.scu.edu/
 
When Aug 11, 2013 - Aug 14, 2013
Where Napa, California, USA
Submission Deadline Apr 12, 2013
Notification Due May 15, 2013
Final Version Due Jun 12, 2013
Categories    signal processing   education
 

Call For Papers

The 2013 IEEE Digital Signal Processing (DSP) Workshop and IEEE Signal Processing Education (SPE) Workshop will be held jointly in Napa, California with access from San Francisco, Oakland, and Sacramento International airports. The venue in one of California's most famous wine regions also offers access to bicycling, rafting and other outdoor summer activities. In addition, the Sierra Nevada mountains and the Pacific Ocean can be reached in less than two hours and one hour respectively.

The workshops will feature prominent plenary speakers from Silicon Valley and the San Francisco Bay Area, technical sessions for presentation of contributed papers, and tutorials. The goal of the two workshops is to bring together leading engineers, researchers, and educators in signal processing from around the world to discuss 1) novel signal processing theories, methods, applications, and implementation technique, as well as 2) the best methods to educate both specialists and a growing population of those who need to use signal processing techniques in their work.


Topics for the DSP portion of the workshop include, but are not limited to:

Sampling, extrapolation, and interpolation
System modeling, representations, and identification
Adaptive systems and filtering
Statistical signal processing
Signal analysis
Detection, estimation, and classification
Signal enhancement, restoration and reconstruction
Nonlinear systems and signal processing
Multi-dimensional signal procesing; image and video processing
Implementation of signal processing systems
New signal processing applications
Signal processing in the cloud
New directions


Topics for the SPE portion of the workshop include, but are not limited to:

Signal processing education in non-traditional venues
Novel laboratory, computer-based, and distance teaching methods
Signal processing across the engineering curriculum
DSP curriculum issues (early/late, simulation/real-time, theory/practice)
DSP outreach issues
Industry and signal processing education: Linking academic knowledge with industrial needs
New technologies in signal processing education
Education strategies to encourage participation of women in signal processing careers

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