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News and Resources for Members of the IEEE Signal Processing Society

TC News

The purpose of the Designa and Implementation of Signal Processing Systems Technical Committee (DISPS TC) is to promote and support activities of the IEEE Signal Processing Society in the areas of: Design, development and implementation of signal processing systems; Design of algorithms with implementation in mind; Design of software tools and methodologies to support the design of signal processing systems.

Contributed by Dan Schonfeld (IVMSP TC Nominations and Elections Subcommittee Chair)

Multimedia Signal Processing Technical Committee (MMSP TC) promotes the advancement of multimedia signal processing technology with special emphasis on the interaction, coordination, synchronization, and joint processing of multimedia and multi-modality signals. In the past, the TC has also served as a home for incubating new areas that do not fall neatly into areas covered by existing TCs.

The Signal Processing Theory and Methods Technical Committee (SPTM TC) promotes activities in the technical areas of theory and methods of digital and statistical signal processing.

The Nominations and Appointments Subcommittee for each Technical Committee will be seeking nominations for new Members, as well as the Vice Chair position for some Technical Committees. Nominations for both positions should be submitted directly to each Technical Committee’s Nominations and Appointments Subcommittee.

The Nominations and Appointments Subcommittee for each Technical Committee is currently seeking nominations for new Members, as well as the Vice Chair position for some Technical Committees. Nominations for both positions should be submitted directly to each Technical Committee’s Nominations and Appointments Subcommittee. Nominations must be received no later than 15 August 2010.

The Sensor Array and Multichannel (SAM) Technical Committee (TC) addresses the areas of sensor array and multi-channel statistical signal processing. The committee interests span the areas of signal detection and estimation, direction-of-arrival estimation, beamforming, blind source separation, source localization and tracking, multiple-input multiple-output (MIMO) systems and space-time coding, sensor networks, and multichannel signal processing. Our main application areas are focused on radar, sonar, wireless communications, microphone array processing, navigation, seismology, radio astronomy, and biomedicine.

For each of the past 6 years, the Machine Learning for Signal Processing (MLSP) TC has hosted a data analysis competition. The specific application varies from year to year. The goal for this year's competition, MLSP 2010 Competition: Mind Reading, was to develop a feature extraction method and classifier to detect the neural signatures in EEG data that occur when the subject detects an instance of a pre-defined target during an image presentation task (using the oddball paradigm).

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