Results 1 to 10 of about 72,581 (258)
A unified approach to sparse signal processing [PDF]
Eurasip Journal on Advances in Signal Processing, 2012 A unified view of the area of sparse signal processing is presented in tutorial form by bringing together various fields in which the property of sparsity has been successfully exploited. For each of these fields, various algorithms and techniques, which have been developed to leverage sparsity, are described succinctly.
Akram Aldroubi +2 more
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Sparse Signal Processing Concepts for Efficient 5G System Design
IEEE Access, 2015 As it becomes increasingly apparent that 4G will not be able to meet the emerging demands of future mobile communication systems, the question what could make up a 5G system, what are the crucial challenges, and what are the key drivers is part of ...
Gerhard Wunder +3 more
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IEEE Access, 2018 In the past decade, sparse and low-rank recovery has drawn much attention in many areas such as signal/image processing, statistics, bioinformatics, and machine learning.
Fei Wen +3 more
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On Sparse Methods for Array Signal Processing in the Presence of Interference
IEEE Antennas and Wireless Propagation Letters, 2015 We analyze the performance of several algorithms designed to solve the inverse sparse problem when they are applied to array signal processing. Specifically we study the error on the estimation of the complex envelope and the direction of arrival of signals of interest in the presence of interference sources using a uniform linear array. In particular,
Martin Hurtado, Sebastian Pazos
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Method of Range Ambiguity Suppression Combining Sparse Reconstruction and Matched Filter
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Synthetic aperture radar (SAR) images are often affected by range ambiguity due to antenna sidelobe characteristics and pulse operating mechanism. The work of range ambiguity suppression focuses on both SAR system design and signal processing. On the one
Meng Qi +4 more
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Frame coherence and sparse signal processing [PDF]
2011 IEEE International Symposium on Information Theory Proceedings, 2011 The sparse signal processing literature often uses random sensing matrices to obtain performance guarantees. Unfortunately, in the real world, sensing matrices do not always come from random processes. It is therefore desirable to evaluate whether an arbitrary matrix, or frame, is suitable for sensing sparse signals.
Dustin G. Mixon +2 more
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A Multi-Source Separation Approach Based on DOA Cue and DNN
Applied Sciences, 2022 Multiple sound source separation in a reverberant environment has become popular in recent years. To improve the quality of the separated signal in a reverberant environment, a separation method based on a DOA cue and a deep neural network (DNN) is ...
Yu Zhang +3 more
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Sparse approximations in signal and image processing [PDF]
Signal Processing, 2006 Guest editorial of the special issue on Sparse Approximations in Signal and Image ...
Rémi Gribonval, Morten Nielsen 0002
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Discrete Uncertainty Principles and Sparse Signal Processing [PDF]
Journal of Fourier Analysis and Applications, 2017 We develop new discrete uncertainty principles in terms of numerical sparsity, which is a continuous proxy for the 0-norm. Unlike traditional sparsity, the continuity of numerical sparsity naturally accommodates functions which are nearly sparse. After studying these principles and the functions that achieve exact or near equality in them, we identify ...
Afonso S. Bandeira +2 more
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Method of Range Ambiguity Suppression Combining Sparse Reconstruction and Matched Filtering
Leida xuebao, 2022 To a certain extent, SAR images are affected by range ambiguity due to antenna sidelobe characteristics and pulse operating system. The work of range ambiguity suppression focuses on SAR system design and signal processing.
Meng QI +5 more
doaj +1 more source