International Conference on Mixed Design of Integrated Circuits and Systems, 2013 Driven by the filtering challenges in linear systems disturbed by non-Gaussian heavy-tailed noise, robust Kalman filters (RKFs) leveraging diverse heavy-tailed distributions have been introduced.
Fredrik Gustafsson +2 more
semanticscholar +3 more sources
Graph Signal Processing: History, development, impact, and outlook [PDF]
IEEE Signal Processing Magazine, 2023 Signal processing (SP) excels at analyzing, processing, and inferring information defined over regular (first continuous, later discrete) domains such as time or space.
G. Leus +4 more
semanticscholar +1 more source
An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2021 Joint communication and radar sensing (JCR) represents an emerging research field aiming to integrate the above two functionalities into a single system, by sharing the majority of hardware, signal processing modules and, in a typical case, the ...
J. A. Zhang +6 more
semanticscholar +1 more source
Generalized Quantum Signal Processing [PDF]
PRX Quantum, 2023 Quantum signal processing (QSP) and quantum singular value transformation (QSVT) currently stand as the most efficient techniques for implementing functions of block-encoded matrices, a central task that lies at the heart of most prominent quantum ...
Danial Motlagh, N. Wiebe
semanticscholar +1 more source
Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2022 To process and transfer large amounts of data in emerging wireless services, it has become increasingly appealing to exploit distributed data communication and learning.
Wei Xu +5 more
semanticscholar +1 more source
An Overview of Signal Processing Techniques for RIS/IRS-Aided Wireless Systems [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2021 In the past as well as present wireless communication systems, the wireless propagation environment is regarded as an uncontrollable black box that impairs the received signal quality, and its negative impacts are compensated for by relying on the design
Cunhua Pan +10 more
semanticscholar +1 more source
Reconfigurable Intelligent Surfaces: A signal processing perspective with wireless applications [PDF]
IEEE Signal Processing Magazine, 2021 Antenna array technology enables the directional transmission and reception of wireless signals for communication, localization, and sensing purposes. The signal processing algorithms that underpin it began to be developed several decades ago [1], but it
Emil Björnson +5 more
semanticscholar +1 more source
Graph Filters for Signal Processing and Machine Learning on Graphs [PDF]
IEEE Transactions on Signal Processing, 2022 Filters are fundamental in extracting information from data. For time series and image data that reside on Euclidean domains, filters are the crux of many signal processing and machine learning techniques, including convolutional neural networks ...
Elvin Isufi +3 more
semanticscholar +1 more source
Incoherent Integration Detection Method of Airborne Phased Array Radar in a Multipath Environment
International Journal of Antennas and Propagation, 2021 Airborne phased array radar (PAR) suffers from multipath problems when flying over a calm sea surface. The existence of a multipath phenomenon will cause the electromagnetic echo of the same target to be reflected back to the airborne PAR from two paths,
Yili Hu, Yongbo Zhao, Sheng Chen
doaj +1 more source
The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains [PDF]
IEEE Signal Processing Magazine, 2012 In applications such as social, energy, transportation, sensor, and neuronal networks, high-dimensional data naturally reside on the vertices of weighted graphs.
D. Shuman +4 more
semanticscholar +1 more source