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Radiance Fields (RFs) have emerged as a crucial technology for 3D scene representation, enabling the synthesis of novel views with remarkable realism. However, as RFs become more widely used, the need for effective editing techniques that…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Yiren Lu , Jing Ma , Yu Yin

Purpose: A novel subspace-based reconstruction method for frequency-modulated balanced steady-state free precession (fmSSFP) MRI is presented. In this work, suitable data acquisition schemes, subspace sizes, and efficiencies for banding…

The Search for Extraterrestrial Intelligence (SETI) attempts to address the possibility of the presence of technological civilizations beyond the Earth. Benefiting from high sensitivity, large sky coverage, an innovative feed cabin for…

Improved data reduction techniques for 3D data cubes obtained from Fabry-Perot integral field spectroscopy are presented. They provide accurate sky emission subtraction and adaptive spatial binning and smoothing. They help avoiding the…

Astrophysics · Physics 2009-11-11 O. Daigle , C. Carignan , O. Hernandez , L. Chemin , P. Amram

We characterize the low frequency radio-frequency interference (RFI) environment at the Murchison Radio-astronomy Observatory (MRO), the location selected for the low-frequency component of the Square Kilometre Array. Data were collected…

Instrumentation and Methods for Astrophysics · Physics 2018-11-07 Marcin Sokolowski , Randall B. Wayth , Morgan Lewis

Spatial filtering is a commonly deployed technique to improve the quality of laser beams by optically filtering the noise. In the "textbook" example, the noise is usually assumed to be high frequency and the laser beam, Gaussian. In this…

Optics · Physics 2021-02-03 Jonathan Pinnell , Asher Klug , Andrew Forbes

The Epoch of Reionisation (EoR) is the period within which the neutral universe transitioned to an ionised one. This period remains unobserved using low-frequency radio interferometers which target the 21 cm signal of neutral hydrogen…

Instrumentation and Methods for Astrophysics · Physics 2021-07-01 J. Kariuki Chege , C. H. Jordan , C. Lynch , J. L. B. Line , C. M. Trott

A spectrum-sharing satellite-ground integrated network is conceived, consisting of a pair of non-geostationary orbit (NGSO) constellations and multiple terrestrial base stations, which impose the co-frequency interference (CFI) on each…

Information Theory · Computer Science 2024-01-31 Xiaojin Ding , Yue Lei , Yulong Zou , Gengxin Zhang , Lajos Hanzo

The conference brought together expertise on a range of interference mitigation techniques from CSIRO, Australian and international industry and universities. Key goals were to: enhance the understanding of techniques and their…

Astrophysics · Physics 2007-05-23 J. F. Bell , R. D. Ekers , J. D. Bunton

Random projection (RP) is a powerful dimension reduction technique widely used in the analysis of high dimensional data. We demonstrate how this technique can be used to improve the computational efficiency of gravitational wave searches…

General Relativity and Quantum Cosmology · Physics 2019-06-11 Sumeet Kulkarni , Khun Sang Phukon , Amit Reza , Sukanta Bose , Anirban Dasgupta , Dilip Krishnaswamy , Anand S. Sengupta

The fidelity of radio astronomical images is generally assessed by practical experience, i.e. using rules of thumb, although some aspects and cases have been treated rigorously. In this paper we present a mathematical framework capable of…

Instrumentation and Methods for Astrophysics · Physics 2010-03-12 Stefan J. Wijnholds , Alle-Jan van der Veen

Modern radio astronomy instruments generate vast amounts of data, and the increasingly challenging radio frequency interference (RFI) environment necessitates ever-more sophisticated RFI rejection algorithms. The "needle in a haystack"…

Signal Processing · Electrical Eng. & Systems 2024-01-22 Peter Xiangyuan Ma , Steve Croft , Chris Lintott , Andrew P. V. Siemion

Running Median Subtraction Filter (RMSF) is a robust statistical tool for removing slowly varying baselines in data streams containing transients (short-duration signals) of interest. In this work, we explore the RMSF performance and…

Instrumentation and Methods for Astrophysics · Physics 2025-05-07 Arko P. Sen , Andrey Sarantsev , Geoffrey Blewitt , Andrei Derevianko

Intelligent reflecting surface (IRS) technology has become a crucial enabler for creating cost effective, innovative, and adaptable wireless communication environments. This study investigates an IRS-assisted orthogonal time frequency space…

Signal Processing · Electrical Eng. & Systems 2024-08-06 Sushmita Singh , Kuntal Deka , Sanjeev Sharma , Neelakandan Rajamohan

We propose a radical advance in Magnetic Resonance Imaging. MRI remains slow because it requires successive applications of magnetic field gradients to encode for spatial location. Parallel MRI accelerates imaging by permitting…

Medical Physics · Physics 2018-09-19 Michael Hutchinson , Ulrich Raff , Luis Osorio

Radio frequency fingerprint identification (RFFI) is becoming increasingly popular, especially in applications with constrained power, such as the Internet of Things (IoT). Due to subtle manufacturing variations, wireless devices have…

Signal Processing · Electrical Eng. & Systems 2024-10-11 Lu Yang , Seyit Camtepe , Yansong Gao , Vicky Liu , Dhammika Jayalath

Radio frequency interference (RFI) mitigation and radar echo recovery are critically important for the proper functioning of ultra-wideband (UWB) radar systems using one-bit sampling techniques. We recently introduced a technique for…

Signal Processing · Electrical Eng. & Systems 2021-03-22 Tianyi Zhang , Jiaying Ren , Jian Li , Lam H. Nguyen , Petre Stoica

The new technique, multi-frequency imaging (MFI) is developed. In VLBI, Multi-Frequency Imaging (MFI) consists of multi-frequency synthesis (MFS) and multi-frequency analysis (MFA) of the VLBI data obtained from observations on various…

Astrophysics · Physics 2007-05-23 S. Likhachev

Purpose: Interpretability is essential for the clinical adoption of state-of-the-art machine learning (ML) methods in magnetic resonance imaging (MRI). Conventional evaluation of ML reconstructions relies heavily on aggregate image metrics…