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The research group Communication Systems and Networks at Mid Sweden Sweden University announces one open Associate Senior Lecturer position within the area of wireless communication. We are looking for candidates with experience and knowledge on: machine learning, artificial intelligence, radio resource management, spectrum management, and communication protocols. The applicant should have an outstanding research record documented by publications in high-ranked journal.
Applicants are invited for two Early Stage Researchers (ESR) of EU Marie Sklodowska-Curie Actions (MSCA) to be hosted in the Istituto Italiano di Tecnologia (IIT). The positions are for a fixed-term of 3 years and the successful applicants are expected to register for PhD at the University of Ferrara, in Translational Neurosciences and Neurotechnologies. The two Early Stage Researchers (ESR) of COBRA H2020 project (G.A. N.
Institute of Electronics and Computer Science (EDI) announces the opening of the competition for preliminary selection of postdoctoral applications for submission to the State Education Development Agency (SEDA) under the Activity 1.1.1.2 “Post-doctoral Research Aid” of the Specific Aid Objective 1.1.1 “To increase the research and innovative capacity of scientific institutions of Latvia and the ability to attract external financing, investing in human resources and infrastructure” of the Ope
This paper deals with the design of a sensing matrix along with a sparse recovery algorithm by utilizing the probability-based prior information for compressed sensing systems. With the knowledge of the probability for each atom of the dictionary being used, a diagonal weighted matrix is obtained and then the sensing matrix is designed by minimizing a weighted function such that the Gram of the equivalent dictionary is as close to the Gram of dictionary as possible.
Research in light field (LF) processing has heavily increased over the last decade. This is largely driven by the desire to achieve the same level of immersion and navigational freedom for camera-captured scenes as it is currently available for CGI content. Standardization organizations such as MPEG and JPEG continue to follow conventional coding paradigms in which viewpoints are discretely represented on 2-D regular grids.
Acoustic event detection deals with the acoustic signals to determine the sound type and to estimate the audio event boundaries. Multi-label classification based approaches are commonly used to detect the frame wise event types with a median filter applied to determine the happening acoustic events. However, the multi-label classifiers are trained only on the acoustic event types ignoring the frame position within the audio events.
Manuscript Due: December 31, 2020
Publication Date: August 2021
CFP Document
Artificial intelligence (AI) and machine learning (ML) as an application of AI, has today become an inevitable part of major industries such as healthcare, financial trending, and transportation. Future urgent need to intelligently utilize wireless resources to meet the need of ever-increasing diversity in services and user behavior, has actuated the wireless communication industry to deploy AI and ML techniques.
Linear time-invariant (LTI) systems play a fundamental role in signal processing. Continuity is an important property of LTI systems, without which many conclusions about LTI systems, such as convolution formula and commutative law, are not true in general. However, this concept does not receive as much attention as it should in the literature of signal processing.
The Moving Picture Experts Group (MPEG) is an International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) working group that develops media coding standards. These standards include a set of ontologies for the codification of intellectual property rights (IPR) information related to media.
Cache-aided communications have shown potential for substantial improvement in network performance, which goes far beyond that of traditional caching. Traditional caching (i.e., the bringing and storing of data closer to the end users) is only efficient when a significant portion of the popular files can be locally stored.
A new generation of exponentially more intelligent and capable robots is on the way, helped along by talented and imaginative engineers and heavy doses of signal processing. In fields spanning almost every aspect of human professional and personal life, robots are ready to perform tasks faster, better, and more efficiently than their human counterparts. Even major sports organizations are now looking into the possibility of replacing human referees and umpires with robot arbiters.
After more than two years, my term as editor-in-chief (EIC) of IEEE Signal Processing Magazine (SPM) is coming to an end in December 2020. I am looking forward to finishing out this year with a bang. Soon, the search will start for my replacement. In this editorial, I will provide a summary of the EIC’s job from my perspective, in case you are interested in applying.
A one-year position as a postdoctoral fellow is available at the AVIRES Lab ( https://avires.dimi.uniud.it ) of the Department of Mathematics, Computer Science and Physics (DMIF), University of Udine.