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The Latest News, Articles, and Events in Signal Processing
The following volunteers have been named Editors-in-Chief of IEEE Signal Processing Society publications. The term for these Editors-in-Chief will run from 1 January 2022 through 31 December 2024.
We are looking for a motivated and talented individual to work on a two-year UKRI-funded project in the area of expressive speech synthesis. Follow https://www.jobs.ac.uk/job/CHB468/research-associate-in-speech-synthesis to apply and learn more details about the post.The deadline for submitting applications is July 23, 2021.
On 14 May 2021, G. Renu opened the inaugural 2021 Regional Meeting on Deep Learning and Biomedical Signals with a welcome address and the opening curtain and lamp lighting ceremony was conducted by Mr. Deepak Mathur, Director, IEEE Region 10.
IEEE SPS has built a streamlined mechanism for employers to add a job announcement by simply filling in a simple job opportunity submission Web form related to a particular TC field. To submit job announcements for a particular Technical Committee, the submission form can be found by visiting the page below and selecting a particular TC.
IEEE SPS has built a streamlined mechanism for employers to add a job announcement by simply filling in a simple job opportunity submission Web form related to a particular TC field. To submit job announcements for a particular Technical Committee, the submission form can be found by visiting the page below and selecting a particular TC.
This year the Signal Processing Society identified 8 Chapters who exhibited excellence in many facets of chapter management, member recruitment, and activities.
The Signal Processing Society (SPS) has 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the Society.
Tomas Mikolov is the creator of Word2Vec which was developed in 2013 by a group of researchers led by him at Google Brain and has been widely used since then (28,000 citations). He is a pioneer for leveraging Recurrent Neural Networks (RNNs) for natural language which replaced n-gram language models that were state of the art for decades.
The IEEE Signal Processing Society has developed guidelines related to SPS Chapter social media and Chapter Activities.
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.
In an effort to continue our programs and services during this difficult time, the SPS Awards Board is now accepting nominations for all Society level awards, from paper awards to the major society awards. Nominations are due by 1 September 2021.
Date: April 17-21, 2023
Location: Cartagena, Colombia
The Computational Imaging Lab in the Department of Computer Science at Portland State University is hiring a graduate student starting Winter/Spring 2022. This is a fully funded PhD student position and includes a monthly stipend and tuition waiver. The position will be for 1 year, initially, and will be renewed for up to a maximum of 5 years (subject to satisfactory progress and availability of funding).
This paper addresses the problem of target detection against a background of Gaussian clutter by using frequency snapshots with reduced degrees of freedom (DOF). We derive the optimal detector and detection performance under the Neyman-Pearson criterion for general frequency snapshot selection with arbitrary DOF. When the clutter statistics are unknown, we use a uniformly random frequency snapshot selection method and show how the DOF employed affects the detection performance.
Target source extractionis significant for improving human speech intelligibility and the speech recognition performance of computers. This study describes a method for target source extraction, called the similarity-and-independence-awarebeamformer (SIBF). The SIBF extracts the target source using a rough magnitude spectrogram as the reference signal. The advantage of the SIBF is that it can obtain a more accurate signal than the spectrogram generated by target-enhancing methods such as speech enhancement based on deep neural networks.
Spatial registration and track-to-track association (which are mutually coupled) are essential parts in the process of multi-sensor information fusion. The quality of the spatial registration and track association algorithm directly influences the subsequent fusion performance.
This paper considers the problem of decentralized consensus optimization over a network, where each node holds a strongly convex and twice-differentiable local objective function. Our goal is to minimize the sum of the local objective functions and find the exact optimal solution using only local computation and neighboring communication.
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