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The Latest News, Articles, and Events in Signal Processing
We present our results of applying wavelet theory to the classic problem of estimating the unknown parameters of a model function subject to noise. The model function studied in this context is a generalization of the second-order Gaussian derivative of which the Gaussian function is a special case.
Coprime sensor arrays (CSAs) can estimate the directions of arrival of O(MN) narrowband planewave sources using only O(M + N) sensors with the CSA product processor. All previous investigations on the product processed CSA's performance for detecting Gaussian signals assumed spatially white Gaussian noise.
This paper considers a set of multiple independent control systems that are each connected over a nonstationary wireless channel. The goal is to maximize control performance over all the systems through the allocation of transmitting power within a fixed budget.
Polar codes have received recent attention due to their potential to be applied in advanced wireless communication protocols such as the fifth generation mobile communication system (5G). Among the existing decoding algorithms, Belief Propagation (BP) exhibits high-throughput, low-latency, and soft output with a high hardware cost.
In this paper, we address the estimation of a time-varying spatial field of received signal strength (RSS) by relying on measurements from randomly placed and not very accurate sensors. We employ a radio propagation model where the path loss exponent and the transmitted power are unknown with Gaussian priors whose hyper-parameters are estimated by applying the empirical Bayes method.
Lecture Date: February 27, 2019
Chapter: Guangzhou
Chapter Chair: Yuanqing Li
Topic: Hyperspectral Unmixing: Insights and Beyond
Lecture Date: June 27-28, 2019
Chapter: Indonesia
Chapter Chair: Fiky Suratman
Topic: TBD
Lecture Date: June 23-24, 2019
Chapter: Malaysia
Chapter Chair: Syed Abu-Bakar
Topic: TBD
Lecture Date: June 21, 2019
Chapter: Singapore
Chapter Chair: Lokesh Bhima Thiagarajan
Topic: TBD
Lecture Date: March 8, 2019
Chapter: San Diego
Chapter Chair: Delbert Fugal
Topic: Data Fusion Through Matrix and Tensor Factorizations:
On Current Solutions, Challenges, and Prospects
Openings for Summer Internships in HLT @ AMAZON AI
Palo Alto, Seattle, Pittsburgh, New York
Lecturer/Senior Lecturer in Speech and Language Processing
We are looking for candidates who will undertake original research in an area of speech technology, offer courses in this area, contribute to our thriving Masters programme in Speech & Language Processing, and supervise and recruit PhD students.
Manuscript Due: July 1, 2019
Publication Date: January 2020
CFP Document
The list of tables of contents (TOCs) are now available for February 2019. The TOCs are formatted to the style of its publication and offers not only links to the full issue, but also to the individual articles in IEEEXplore®.
Erik Meijering, the current Chair of SPS’s Bio Imaging and Signal Processing (BISP) Technical Committee, has been pursuing his passion in signal processing from the onset of his education. Realizing early on the vast and evolving ways that signal processing can unlock solutions for the advancement of technology, Erik’s studies began in digital image processing and eventually focused on applications in biomedical imaging for his PhD.
Apply here: https://www.kuleuven.be/personeel/jobsite/jobs/55004282?hl=en&lang=en
Responsibilities
At the University of Trento ( Italy ) we are looking for highly motivated and talented graduate students to join
our research team and work on Natural Language Understanding and Dialog Modeling / Systems.
The Signals and Interactive Systems Lab at University of Trento attracts researchers from
computational linguistics, psychology, electrical engineering and computer science to design, train and evaluate
Two Postdoctoral Researcher/Project Researcher positions in speech processing
The University of Eastern Finland, UEF, is one of the largest multidisciplinary universities in Finland. We offer education in nearly one hundred major subjects, and are home to approximately 15,500 students and 2,500 members of staff. We operate in Joensuu and Kuopio. In international rankings, we are ranked among the leading universities in the world.
Subspace learning theory for dimensionality reduction was initiated with the Principal Component Analysis (PCA) formulation proposed by Pearson in 1901.
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