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Section: Publications & Resources

The IEEE Signal Processing Society (SPS) announced the 2020 Class of Distinguished Lecturers and Distinguished Industry Speakers for the term of 1 January 2020 to 31 December 2021, which are noted below.  The IEEE SPS Distinguished Lecturer (DL) Program provides a means for Chapters to have access to well-known educators and authors in the fields of signal processing to lecture at Chapter meetings. 

Section: Publications & Resources

The list of tables of contents (TOCs) are now available for November 2019. The TOCs are formatted to the style of its publication and offers links to the full issue on the front cover, as well as links to the individual articles in IEEEXplore®; simply mouse-over the article title and click on it. 

Open Postdoc position (short-term and long-term) in Advanced Communications and Distributed Computing at EURECOM (English Speaking Ivy-League School in the French Riviera)

Section: Events

Publication: IEEE Journal of Selected Topics in Signal Processing

Manuscript Due: July 1, 2020 Publication Date: February 2021 CFP Document Submit Manuscript

Section: Publications & Resources

Publication: IEEE Transactions on Computational Imaging

DUAL-energy computed tomography (DECT) differentiates materials by exploiting the varying material linear attenuation coefficients (LACs) for different x-ray energy spectra. Multi-material decomposition (MMD) is a particularly attractive DECT clinical application to distinguish the complicated material components within the human body. 

Section: Publications & Resources

Publication: IEEE Transactions on Computational Imaging

The intrinsically limited spatial resolution of positron emission tomography (PET) confounds image quantitation. This paper presents an image deblurring and super-resolution framework for PET using anatomical guidance provided by high-resolution magnetic resonance (MR) images. The framework relies on image-domain postprocessing of already-reconstructed PET images by means of spatially variant deconvolution stabilized by an MR-based joint entropy penalty function.

Section: Publications & Resources

Publication: IEEE Transactions on Computational Imaging

The image blurring that results from moving a camera with the shutter open is normally regarded as undesirable. However, the blurring of the images encapsulates information that can be extracted to recover the light rays present within the scene. Given the correct recovery of the light rays that resulted in a blurred image, it is possible to reconstruct images...

The goal of the project is to design an architecture and self-learning algorithms that can optimize and guarantee deterministic QoS of individual traffic flows whilst maximizing network resource efficiency. The general QoS architecture for end-to-end communication of heterogeneous types of traffic will include routing and scheduling for each traffic type and admission control possibly with QoS renegotiations and with shaping and spacing.

Section: Publications & Resources

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