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IEEE SPS provides travel support for local chapters to invite SPS Distinguished Lecturers. And if you are interested in organizing a new SPS chapter, or participating in activities in a SPS local chapter near you, please check out Local Chapter Resources.
In recent years, there has been a significant motivation to develop software techniques for the noninvasive diagnosis of abnormal functioning of the vocal apparatus by studying the patients' voice signal. Learn about noninvasive pathology approaches for the prediction of healthy and affected voice signals from a recent Lecture Notes in the IEEE Signal Processing Magazine.
An exclusive article by Alex Acero, the SPS's first Vice President-Technical Directions, on many society-wide initiatives on technical directions in recent years. These include the formation of the Technical Directions Board, review of Technical Committees, the creation of new TCs and TC-sponsored workshops, and the renaming of several TCs to better reflect their latest scope and interests.
The IEEE Signal Processing Society (SPS) announced the 2010 Class of Distinguished Lecturers. Five colleagues were honored and they are: Sheila Hemami (Cornell University, NY); Shrikanth Narayanan (University of Southern California, CA); Antonio Oretga (University of Southern California, CA); Venu Veeravalli (University of Illinois at Urbana-Champaign, Il); and Abdelhak Zoubir (Darmstadt University of Techno
The IEEE Signal Processing Society (SPS) invites nominations for the Vice President- Awards & Membership Officer position for the term 1 January 2011 through 31 December 2013.
The EURASIP and the IEEE Signal Processing Society Greek Chapter jointly organized a full-day event in October 2009 at the University of Athens: the inaugural "Greek Signal Processing Jam''. The event was envisioned as an opportunity to bring this community together, attract new talent to signal processing, and expose all to some of the latest developments in the broad area.
Synthetic attendance--immersive communications with people in a meeting happening afar--has been one of mankind's elusive dreams. The Exploratory DSP column of the IEEE Signal Processing Magazine (November 2009) discusses critical questions in immersive communications that are still awaiting resolution.
John M. Cioffi and H. Vincent Poor have been elected International Fellows of the Royal Academy of Engineering of the United Kingdom, two of only three engineers worldwide to be so elected this year. They were inducted into the Academy at its New Fellows Dinner on 9 November 2009, in London, UK.
Ph.D. and post-doc positions are available to work on fluorescence microscopy related projects in joint research group with University of Texas at Dallas and UT Southwestern Medical Center at Dallas. The projects aim to develop novel imaging modalities, image processing and data analysis methods for fluorescence microscopy live cell experiments in particular single molecule detection.
Signal processing engineers usually use high level languages to develop advanced algorithms for new radars and to determine the optimal parameters for these algorithms. The long execution times due to computational complexity and/or very large data sets hinders an efficient engineering development workflow. Rapid prototyping tools such as parallel MATLAB can enable a software design workflow that helps the development of radar prototypes by providing interactivity and reducing the execution time of the algorithms under test.
The ability to learn about a stochastic process from noisy observations is fundamental to many applications. In order to track a dynamic process, typical knowledge representation is the state space model such as a linear Gauss Markov model, where efficient algorithms exist to perform state estimation under many different model assumptions. However, for meta level tracking, we are not only interested in the state estimation, but also temporal and structural classification of the process.
Polarimetric Synthetic Aperture Radar (POLSAR) data is an important source for many operational remote sensing applications. Segmentation and classification of image data are important tasks for POLSAR data analysis and interpretation, which often requires human interaction. In this thesis, spectral graph partitioning methodology is used to exploit both the polarimetric attributes of pixels, and the visual aspect of the image data through visual cues.
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