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The Latest News, Articles, and Events in Signal Processing
Lecture Date: October 11, 2019
Chapter: Tokyo (Joint)
Chapter Chair: Kazuya Takeda
Topic: Array processing and beamforming with Kronecker products
Lecture Date: October 9, 2019
Chapter: Kansai
Chapter Chair: Tomohiro Nakatani
Topic: Array processing and beamforming with Kronecker products
Lecture Date: October 7, 2019
Chapter: Sendai
Chapter Chair: Kazuhiro Kondo
Topic: Array processing and beamforming with Kronecker products
When the IEEE Signal Processing Society was initially established as the Professional Group on Audio in 1948, signal processing as we know it didn’t exist. The founders of what would eventually become IEEE’s first society could not have foreseen the evolution of their discipline’s once-narrow scope.
The Brain Image Analysis Unit at the Center for Brain Science (CBS), RIKEN, Japan, seeks highly motivated individuals who will contribute to the development and implementation of image processing and image analysis techniques with a focus on brain image data.
At its 18 May 2019 meeting, the Board of Governors of the IEEE Signal Processing Society passed amendments to the Society’s Constitution document regarding member election of the Society’s President-Elect, updating the reference to email voting instead of postal mail voting along with its associated timeframe and removing the 30-day waiting period, so amendments are effective after all required approvals are received.
The Executive Committee of the IEEE Signal Processing Society appointed a new Editor-in-Chief for IEEE Signal Processing Letters who will start her term on 1 January 2020.
The Speech Technology Group of Toshiba Research Europe in Cambridge is looking for exceptional candidates to join our team of researchers, working in automatic speech recognition or statistical dialogue systems. We are looking for candidates with background in signal processing, machine learning, acoustic modelling or expertise in building state-of-the-art systems for ASR or Dialogue.
We have an open position for PhD student in area of PHY/MAC layer targeting low latency IoT applications. The research will be carried out in the Communication Systems and Network group at Mid Sweden University.
The applicants should meet following criteria:
- Hold M.Sc. degree in Electrical engineering, Signal Processing, Engineering Mathematics, Computer science, or similar domain
- Excellent written and communication skills
- Strong mathematical background
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
In this paper, we propose a novel non-orthogonal multiple access (NOMA) scheme with beamwidth control for hybrid millimeter wave communication systems and study the resource allocation design to maximize the system energy efficiency. In particular, NOMA transmission allows more than one user to share a single radio frequency chain, which is beneficial to enhance the system energy efficiency. More importantly, the proposed beamwidth control can increase the number of served NOMA groups by widening the beamwidth that can further exploit the energy efficiency gain brought by NOMA.
Nonorthogonal multiple access (NOMA) is promising for increasing connectivity and capacity. But there has been little consideration on the quality of service of NOMA; let alone that in generic fading channels. This paper establishes closed-form upper bounds for the delay violation probability of downlink Nakagami-
The significant advances of cellular systems and mobile Internet services have yielded a variety of computation intensive applications, resulting in great challenge to mobile terminals (MTs) with limited computation resources. Mobile edge computing, which enables MTs to offload their computation tasks to edge servers located at cellular base stations (BSs), has provided a promising approach to address this challenging issue.
Non-orthogonal multiple access (NOMA) is one of the promising radio access techniques for next generation wireless networks. Opportunistic multi-user scheduling is necessary to fully exploit multiplexing gains in NOMA systems, but compared with traditional scheduling, inter-relations between users’ throughputs induced by multi-user interference poses new challenges in the design of NOMA schedulers.
Given the recent surge in developments of deep learning, this paper provides a review of the state-of-the-art deep learning techniques for audio signal processing. Speech, music, and environmental sound processing are considered side-by-side, in order to point out similarities and differences between the domains, highlighting general methods, problems, key references, and potential for cross fertilization between areas.
We address voice activity detection in acoustic environments of transients and stationary noises, which often occur in real-life scenarios. We exploit unique spatial patterns of speech and non-speech audio frames by independently learning their underlying geometric structure. This process is done through a deep encoder-decoder-based neural network architecture.
Given the recent surge in developments of deep learning, this paper provides a review of the state-of-the-art deep learning techniques for audio signal processing. Speech, music, and environmental sound processing are considered side-by-side, in order to point out similarities and differences between the domains, highlighting general methods, problems, key references, and potential for cross fertilization between areas.
The IEEE Signal Processing Society congratulates the following recipients who will receive the 2018 IEEE Signal Processing Society Paper Award for their papers published in the IEEE Journal of Selected Topics in Signal Processing. Presentation of the paper awards will take place at ICASSP 2019 in Brighton, UK.
The Departments of Biomedical Engineering and Electrical and Computer Engineering at the University of Virginia seek Research Associates to work in the laboratory of Dr. Gustavo Rohde (imagedatascience.com) to perform research on pattern recognition, machine learning, and image and signal analysis with applications to biomedical imaging, cancer detection, mobile and remote sensing, and others.
The 29th MLSP workshop in the series of workshops organized by the IEEE Signal Processing Society MLSP Technical Committee will present the most recent and exciting advances in machine learning for signal processing through keynote talks, tutorials, as well as special and regular single-track sessions.
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