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News and Resources for Members of the IEEE Signal Processing Society

Technical Committee News

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. Please provide the name, contact information and biography with the nomination.

The Signal Processing Society (SPS) has 12 technical committees and three Special Interest Groups (SIGs) that support a broad selection of signal processing related activities defined by the scope of the Society. Technical Committees and SIGs are actively involved in awards, conferences, publications, and educational activities, and provide technical advice to the Society’s leadership.

The Image, Video, and Multidimensional Signal Processing Technical Committee (IVMSP TC) promotes and guides the advancement of the field of image, video, and multidimensional signal processing. It provides leadership for the technical programs for ICIP and for the IVMSP-related areas at ICASSP; recruits and volunteers reviewers for ICIP and for the IVMSP-related areas at ICASSP; assists in proposing and organizing ICIP; organizes and operates IVMSP workshops and sessions at ICIP and ICASSP; and participates in a range of other SPS activities.

The Signal Processing Theory and Methods (SPTM) TC reports on the 2015 Signal Processing/Signal Processing Education Workshop and new TC members

For our July 2015 issue, we cover recent patents dealing with various applications of adaptive filtering. The section below covers patents granted recently for reducing blocking effect and ringing noise, radio frequency spektrum analysis, filter bank implementation, signal amplifying, low complexity filtering, magnetic fluid analysis, signal canceling and filter representation.

This Funding Opportunity Announcement (FOA) seeks applications that propose research studies that extend experimental protocols beyond the range of acoustic psychophysical research studies widely performed today. This will require design of algorithms and research studies that validate the potential benefits from these novel approaches to acoustic signal processing.

The special issue of the Proceedings of the IEEE in July is the second issue focusing on reconfigurable systems. In the first special issue (vol. 103, no. 3, 2015) introduced by eNewsletter in June, the foundational concepts are addressed. In this special issue, the editors focus on the basic concepts discussed in the first issue by considering more advanced applications, the extension of reconfigurability to other phenomenologies/domains, and the impacts of selected emerging technologies.

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

For our June 2015 issue, we cover recent patents dealing with various applications of image inpainting. The section below covers patents granted recently for image segmentation, image enhancement, mobile authentication, texture analysis and image compression.

Machine learning, a subfield of computer science, has been widely applied in many areas from science to engineering to many interdisciplinary fields. Nature Reviews Genetics recently published an article that summarized machine learning applications in genetics and genomics, authored by University of Washington researchers Maxwell W. Libbrecht and William Stafford Noble. The topics of interest included supervised versus unsupervised learning, generative versus discriminative modeling, incorporating prior knowledge, handling heterogeneous data, feature selection, imbalanced class sizes, handling missing data, and modelling dependence among examples.

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