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   Articles with "block sparse" as a keyword



A New Streaming K-Nearest Neighbor Algorithm for Status Prediction in Block-Sparse, Autocorrelated, Irregular Longitudinal Data.

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recommendations! Published in 2025 at "Statistics in medicine"

DOI: 10.1002/sim.70332

Abstract: In streaming longitudinal data, status prediction becomes challenging when input variables are block‐sparse, autocorrelated, and irregular in both dimension and distribution. General methods cannot model such data directly, especially when the classes are extremely imbalanced.… read more here.

Keywords: status prediction; longitudinal data; block sparse; autocorrelated irregular ... See more keywords

Arbitrary Block-Sparse Signal Reconstruction Based on Incomplete Single Measurement Vector

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recommendations! Published in 2017 at "Circuits, Systems, and Signal Processing"

DOI: 10.1007/s00034-017-0528-3

Abstract: Within the compressive sensing framework, reconstruction algorithms of block-sparse signal (BSS) often have special requirements on sparsity patterns. As a result, only some particular BSSs can be reconstructed. In this paper, we present a new… read more here.

Keywords: reconstruction; block; sparse signal; sparsity ... See more keywords

Block Sparse Signal Recovery in Compressed Sensing: Optimum Active Block Selection and Within-Block Sparsity Order Estimation

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recommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"

DOI: 10.1007/s00034-017-0617-3

Abstract: In this paper, we develop a new algorithm for recovery of block sparse signals in compressed sensing framework based on orthogonal matching pursuit. Furthermore, we point out that a major issue in conventional sparse signal… read more here.

Keywords: recovery; order; block; sparse signal ... See more keywords

Compressively sensing nonadjacent block-sparse spectra via a block discrete chirp matrix

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recommendations! Published in 2018 at "Photonic Network Communications"

DOI: 10.1007/s11107-018-0813-5

Abstract: The block-sparse structure is shared by many types of signals, including audio, image, and radar-emitted signals. This structure can considerably improve compressive sensing (CS) performance and has attracted much attention in recent years. However, when… read more here.

Keywords: block; block sparse; nonadjacent block; discrete chirp ... See more keywords

Block sparse vector recovery for compressive sensing via ℓ1−αℓq$\ell _1-\alpha \ell _q$‐minimization Model

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recommendations! Published in 2024 at "Electronics Letters"

DOI: 10.1049/ell2.13081

Abstract: This paper solves the problem of block sparse vector recovery using the block ‐minimization model. Based on the block restricted isometry property (B‐RIP) condition, exact block sparse vector recovery result is obtained. The theoretical bound… read more here.

Keywords: block sparse; minimization model; vector recovery; block ... See more keywords

Block Sparse Bayesian Learning-Based Channel Estimation for MIMO-OTFS Systems

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recommendations! Published in 2022 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2022.3144674

Abstract: In this letter, we propose an efficient channel estimation method for multiple input multiple output orthogonal time-frequency-space systems in which each delay path cluster of the channel has multiple Dopplers. Under the channel model, the… read more here.

Keywords: block sparse; channel estimation; based channel; estimation ... See more keywords

Covariance-Free Variational Bayesian Learning for Correlated Block Sparse Signals

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recommendations! Published in 2023 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2023.3241316

Abstract: We consider the problem of estimating channel in massive machine type communication (mMTC) systems. The sparse device activity in a mMTC system makes the channel block-sparse, with intra-block correlation. Block-sparse Bayesian learning (B-SBL) is a… read more here.

Keywords: block sparse; variational bayesian; covariance free; block ... See more keywords

Block Sparse Vector Codes for Ultra-Reliable and Low-Latency Short-Packet Transmission

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recommendations! Published in 2025 at "IEEE Transactions on Communications"

DOI: 10.1109/tcomm.2025.3562520

Abstract: Sparse vector coding (SVC) is a promising short-packet transmission method for ultra reliable low latency communication (URLLC) in next-generation communication systems. In this paper, a block SVC (BSVC) based short-packet transmission scheme is proposed to… read more here.

Keywords: block sparse; transmission; short packet; block ... See more keywords

Block-Sparse Signal Recovery via General Total Variation Regularized Sparse Bayesian Learning

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recommendations! Published in 2022 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2022.3144948

Abstract: One of the main challenges in block-sparse signal recovery, as encountered in, e.g., multi-antenna mmWave channel models, is block-patterned estimation without knowledge of block sizes and boundaries. We propose a novel Sparse Bayesian Learning (SBL)… read more here.

Keywords: block sparse; sparse signal; block; sparse bayesian ... See more keywords

Joint Block Sparse Signal Recovery Problem and Applications in LTE Cell Search

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recommendations! Published in 2017 at "IEEE Transactions on Vehicular Technology"

DOI: 10.1109/tvt.2016.2552247

Abstract: We consider the problem of jointly recovering block sparse signals that share the same support set, using multiple measurement vectors (MMVs). We consider the generalized MMV (GMMV) model wherein the different measurement vectors could have… read more here.

Keywords: recovery; problem; cell search; block sparse ... See more keywords

Spectral unmixing of hyperspectral images based on block sparse structure

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recommendations! Published in 2022 at "Journal of Applied Remote Sensing"

DOI: 10.1117/1.jrs.17.016510

Abstract: Abstract. Spectral unmixing (SU) of hyperspectral images (HSIs) is one of the important areas in remote sensing (RS) that needs to be carefully addressed in different RS applications. Despite the high spectral resolution of the… read more here.

Keywords: spectral unmixing; block sparse; hyperspectral images; unmixing hyperspectral ... See more keywords