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Section: Publications & Resources
Virtual and augmented reality (VR/AR) hold tremendous potential to advance our society and are commonly seen as the 4th major disruptive technology wave after PC, the Internet/Web, and mobile.
Section: Events
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
Section: Events
Lecture Date: June 21, 2019
Chapter: Singapore
Chapter Chair: Lokesh Bhima Thiagarajan
Topic: TBD
Section: Events
Lecture Date: June 23-24, 2019
Chapter: Malaysia
Chapter Chair: Syed Abu-Bakar
Topic: TBD
Section: Events
Lecture Date: June 27-28, 2019
Chapter: Indonesia
Chapter Chair: Fiky Suratman
Topic: TBD
Section: Events
Lecture Date: February 27, 2019
Chapter: Guangzhou
Chapter Chair: Yuanqing Li
Topic: Hyperspectral Unmixing: Insights and Beyond
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
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.
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
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.
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
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.
Section: Publications & Resources
Publication: IEEE Transactions on Signal Processing
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.
