Iterative reweighted l1 design of sparse FIR filters [PDF]
, 2012 Sparse FIR filters have lower implementation complexity than full filters, while keeping a good performance level. This paper describes a new method for designing 1D and 2D sparse filters in the minimax sense using a mixture of reweighted l1 minimization
Cristian Rusu +3 more
core +1 more source
Efficient Channel Feedback Scheme for Multi-User MIMO Hybrid Beamforming Systems
Sensors, 2021 This paper proposes an efficient channel information feedback scheme to reduce the feedback overhead of multi-user multiple-input multiple-output (MU-MIMO) hybrid beamforming systems.
Won-Seok Lee, Hyoung-Kyu Song
doaj +1 more source
Phase-coherent multichannel SDR - Sparse array beamforming [PDF]
2020 28th European Signal Processing Conference (EUSIPCO), 2021 We introduce a modular and affordable coherent multichannel software-defined radio (SDR) receiver and demonstrate its performance by direction-of-arrival (DOA) estimation on signals collected from a 7 X 3 element uniform rectangular array antenna, comparing the results between the full and sparse arrays. Sparse sensor arrays can reach the resolution of
Rajamäki, Robin +4 more
openaire +3 more sources
Kernel classifier construction using orthogonal forward selection and boosting with Fisher ratio class separability measure [PDF]
, 2006 A greedy technique is proposed to construct parsimonious kernel classifiers using the orthogonal forward selection method and boosting based on Fisher ratio for class separability measure.
Wang, X. X. +9 more
core +1 more source
Automatic source localization and spectra generation from sparse beamforming maps
, 2021 Beamforming is an imaging tool for the investigation of aeroacoustic phenomena and results in high dimensional data that is broken down to spectra by integrating spatial Regions Of Interest.
Goudarzi, Armin +8 more
core +1 more source
3-D Beamforming Training Using Mutually Unbiased Bases for Cell Discovery in mm-Wave Systems
IEEE Access, 2023 Beamforming training or cell discovery (CD) is a fundamental procedure in millimeter wave communication systems in which the user detects the presence of a base station, acquires the identity of that base station, and finds suitable beamforming ...
P. Rashmi, A. Manoj, Arun Pachai Kannu
doaj +1 more source
Evaluating seismic beamforming capabilities of distributed acoustic sensing arrays [PDF]
Solid Earth, 2021 The versatility and cost efficiency of fibre-optic distributed acoustic sensing (DAS) technologies facilitate geophysical monitoring in environments that were previously inaccessible for instrumentation.
M. P. A. van den Ende, J.-P. Ampuero
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Rician Beamforming: Despeckle Method via Coarray Projection Stochastic Analysis
Applied Sciences, 2020 Current computation capabilities normal, Delay and Sum (DAS) and Total Focusing Method (TFM) allow new definitions for beamformers. In this paper, a new beamforming method is proposed. It exploits diversity across pixel data after focusing process.
Virginia Yagüe-Jiménez +3 more
doaj +1 more source
Adaptive Beamforming Based on Compressed Sensing with Smoothed l0 Norm
International Journal of Antennas and Propagation, 2015 An adaptive beamforming based on compressed sensing with smoothed l0 norm for large-scale sparse receiving array is proposed in this paper. Because of the spatial sparsity of the arriving signal, compressed sensing is applied to sample received signals ...
Yubing Han, Jian Wang
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A ROBUST BEAMFORMER BASED ON WEIGHTED SPARSE CONSTRAINT [PDF]
Progress In Electromagnetics Research Letters, 2010 4 pages, 2 ...
Yipeng Liu 0001, Qun Wan, Xiaoli Chu
openaire +2 more sources