21 papers · ranked by Valyu relevance
Emil Björnson, Jakob Hoydis, Luca Sanguinetti
—The capacity of cellular networks can be improved by the unprecedented array gain and spatial multiplexing offered by Massive MIMO. Since its inception, the coherent interference caused by pilot contamination has been believed to create a finite capacity limit, as the number of antennas goes to infinity. In this…
Linglong Dai, Xinyu Gao, Xin Su, Shuangfeng Han + 2 more
'Zhaocheng Wang'] Abstract—For uplink large-scale MIMO systems, minimum mean square error (MMSE) algorithm is near-optimal but involves matrix inversion with high complexity. In this paper, we propose to exploit the Gauss-Seidel (GS) method to iteratively realize the MMSE algorithm without the complicated matrix…
Mengmeng Liu, Shuangyang Li, Baoming Bai, Giuseppe Caire + 1 more
In this paper, a reduced-complexity cross-domain iterative detection for orthogonal time frequency space (OTFS) modulation is proposed that exploits channel properties in both time and delay-Doppler domains. Specifically, we first show that in the time-domain effective channel, the path delay only introduces…
Minhua Ding, Italo Atzeni, Antti Tölli, A. Lee Swindlehurst
Systems Authors: ['Minhua Ding' 'Italo Atzeni' 'Antti Tölli' 'A. Lee Swindlehurst'] Abstract—This paper focuses on the minimum mean squared error (MMSE) channel estimator for multiple-input multipleoutput (MIMO) systems with one-bit quantization at the receiver side. Despite its optimality and significance in…
Gábor Hannák, Alessandro Perelli, Norbert Goertz, Gerald Matz + 1 more
'Mike E. Davies'] Abstract—Bayesian approximate message passing (BAMP) is an efficient method in compressed sensing that is nearly optimal in the minimum mean squared error (MMSE) sense. Multiple measurement vector (MMV)-BAMP performs joint recovery of multiple vectors with identical support and accounts for…
Wei Huang, Yibin Zheng
The reconstruction of 3D ultrasound (US) images from mechanically registered, but otherwise irregularly positioned, B-scan slices is of great interest in image guided therapy procedures. Conventional 3D ultrasound algorithms have low computational complexity, but the reconstructed volume suffers from severe speckle…
Mikhail Bakulin, Vitaly Kreyndelin, Sergei Melnik, Vladimir Sudovtsev + 2 more
'Vladimir Sudovtsev' 'Dmitry Petrov' 'Oleg Varlamov'] One of the development directions of new-generation mobile communications is using multiple-input multiple-output (MIMO) channels with a large number of antennas. This requires the development and utilization of new approaches to signal detection in MIMO channels…
Yu Jin, Ronaldo Garcia Reyes, Ying Wang, Min Li + 2 more
Source-space electroencephalography (EEG) connectomics aims to estimate interactions among cortical generators from sensor cross-spectra that are mixed by the head and lead field. This task is difficult because marginal source covariance or coherence can retain leakage, common drive and indirect mediation, whereas…
Haitao Liu, Xuchao Cheng, Wenqing Li, Fan Feng + 3 more
'Ying Xiao' 'Shiqi Fu'] The lattice reduction-aided algorithm has received broad attention from researchers since it operates as a maximum likelihood receiver with better system performance for multiple-input multiple-output orthogonal frequency division multiplexing systems and contains a full diversity. A novel…
Sheng Xu, Amnon Balanov, Amit Singer, Tamir Bendory
Accurate orientation estimation is a crucial component of 3D molecular structure reconstruction, both in single-particle cryo-electron microscopy (cryo-EM) and in the increasingly popular field of cryo-electron tomography (cryo-ET). The dominant approach, which involves searching for the orientation that maximizes…
Zongyuan Han, Wenhao Li, Shengxin Zhu
In this paper, we investigate diagonal estimation for large or implicit matrices, aiming to develop a novel and efficient stochastic algorithm that incorporates adaptive parameter selection. We explore the influence of different eigenvalue distributions on diagonal estimation and analyze the necessity of introducing…
Olaf Hauk, Matti Stenroos, Matthias Treder
The question “What is the spatial resolution of EEG/MEG?” can only be answered with many ifs and buts, as the answer depends on a large number of parameters. Here, we describe a framework for resolution analysis of EEG/MEG source estimation, focusing on linear methods. The spatial resolution of linear methods can be…
Eric Hermes, Khachik Sargsyan, Habib Najm, Judit Zádor
We present a new algorithm for the optimization of molecular structures to saddle points on the potential energy surface using a redundant internal coordinate system. This algorithm automates the procedure of defining the internal coordinate system, including the handling of linear bending angles, e.g. through the…
Shengyu Zhang, Jhinuk Saha, Yuchen Li, Xinhua Peng + 4 more
Previous experimental strategies aimed at completely suppressing diagonal peaks in NMR homonuclear correlation spectra often resulted in reduced sensitivity for cross peaks. In this work, we report a spectral shearing approach that transforms diagonal peaks along the diagonal axis of a homonuclear correlation spectrum…
Sara Lago, Sara Zago, Sonia Montemurro, Rocco Salvatore Calabrò + 4 more
Healthy aging brings widespread shifts in aperiodic (non-oscillatory) electroencephalographic (EEG) components, which may underlie physiological changes in cognitive performance. Education, a known protective factor against age-related decline in cognitive performance, has been largely overlooked in studies linking…
Mahmoud A. Albreem, Mohammed H. Alsharif, Sunghwan Kim
Massive multiple-input multiple-output (M-MIMO) is a substantial pillar in fifth generation (5G) mobile communication systems. Although the maximum likelihood (ML) detector attains the optimum performance, it has an exponential complexity. Linear detectors are one of the substitutions and they are comparatively simple…
Chuan Zhang, Liang Xiao, Zhizhen Wu, Feng Wang + 3 more
'Zaichen Zhang' 'Xiaohu You'] Abstract—In massive MIMO (M-MIMO) systems, one of the key challenges in the implementation is the large-scale matrix inversion operation, as widely used in channel estimation, equalization, detection, and decoding procedures. Traditionally, to handle this complexity issue, several…
Denis Tikhonov
Here, we present a new approach for obtaining radial distribution functions (RDF) from the electron diffraction data using a regularized weighted sine least-squares spectral analysis (rwsLSSA). It allows for explicitly transferring the measured experimental uncertainties in the reduced molecular scattering function to…
Xue Cheng, Yingmin Wang
Noise suppression capacity in multiple-input multiple-output (MIMO) sonar signal processing is derived under the assumption of white Gaussian noise. However, underwater noise mainly includes white Gaussian noise and colored noise. There exists a certain correlation between the noise signals received by each MIMO sonar…
Authors not listed
One of the main applications for which quantum computers are hoped to find utility is in simulating ground state energies and other observables of molecular chemical systems. The recently proposed sample-based diagonalization method is a readily implementable method for this task on current-day hardware using short…
Charles Eads
This report describes and illustrates a set of automatable multicomponent exponential relaxation analysis protocols that are model-agnostic and suited to extracting information under circumstances when little prior knowledge about the underlying system is used. Methods are illustrated and mathematical and physical…