Search results
Enter terms
1178 results found.
Section: Publications & Resources
Publication: IEEE Transactions on Multimedia
JPEG lossy image compression is a still image compression algorithm model that is currently widely used in major network media. However, it is unsatisfactory in the quality of compressed images at low bit rates. The objective of this paper is to improve the quality of compressed images and suppress blocking artifacts by improving the JPEG image compression model at low bit rates.
Section: Publications & Resources
The problem of graph learning concerns the construction of an explicit topological structure revealing the relationship between nodes representing data entities, which plays an increasingly important role in the success of many graph-based representations and algorithms in the field of machine learning and graph signal processing.
Section: Publications & Resources
In this paper, we investigate the resource allocation problem for a full-duplex (FD) massive multiple-input-multiple-output (mMIMO) multi-carrier (MC) decode and forward (DF) relay system which serves multiple MC single-antenna half-duplex (HD) nodes. In addition to the prior studies focusing on maximizing the sum-rate and energy efficiency, we focus on minimizing the overall delivery time for a given set of communication tasks to the user terminals.
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
Time-frequency (TF) representations of time series are intrinsically subject to the boundary effects. As a result, the structures of signals that are highlighted by the representations are garbled when approaching the boundaries of the TF domain. In this paper, for the purpose of real-time TF information acquisition of nonstationary oscillatory time series, we propose a numerically efficient approach for the reduction of such boundary effects.
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
Hidden Markov models are widely used for target tracking, where the process and measurement noises are usually modeled as independent Gaussian distributions for mathematical simplicity. However, the independence and Gaussian assumptions do not always hold in practice. For example, in a typical target tracking application, a radar is utilized to track a non-cooperative target.
Joint postdoc position between Princeton University and the Weizmann Institute at the intersection of communications, signal processing and machine learning. The work will be performed with the groups of Prof. Andrea Goldsmith and Prof. Yonina Eldar. The candidate is expected to work with both teams in collaborative and supportive environments, with the location flexible between the two centers.
Section: Publications & Resources
The IEEE annual election begins on 16 August and ends on 1 October. All ballots must be received by 12:00 p.m. EDT USA/16:00 UTC. The IEEE Signal Processing Society is committed to ensuring that its members are prepared with sufficient information about the candidates in order to make their best informed decision.
Section: Publications & Resources
The IEEE Signal Processing Society (SPS) invites nominations for the position of Editor-in-Chief for the following journal: Open Journal of Signal Processing for a 3-year term starting 1 January 2022. Nominations must be received no later than 1 October 2021. Full details can be found on the web.
This position focuses on detecting and forecasting floods using images and thus automating flood identification without human intervention. With such an approach, it will be possible to use only the cameras without a river height sensor submerged in the river. Applicants must have completed, or are nearing completion, a doctorate in Computer Science or related subjects in the past five years.
