Results 61 to 70 of about 35,538 (312)

Error control schemes for robust transmission with compressed sensing signals [PDF]

open access: yes, 2017
Compressed sensing is famous for its compression performances over existing schemes in this field. We apply compressed sensing to digital images for error-controlled transmission in this paper.
Huang, Hsiang-Cheh;Chen, Po-Liang;Chang, Feng-Cheng
core   +1 more source

Denoising-Based Turbo Compressed Sensing

open access: yesIEEE Access, 2017
Turbo compressed sensing (Turbo-CS) is an efficient iterative algorithm for sparse signal recovery with partial orthogonal sensing matrices. In this paper, we extend the Turbo-CS algorithm to solve compressed sensing problems involving a more general ...
Zhipeng Xue, Junjie Ma, Xiaojun Yuan
doaj   +1 more source

Sequential Compressed Sensing [PDF]

open access: yesIEEE Journal of Selected Topics in Signal Processing, 2010
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sensing literature have focused on characterizing the achievable performance by bounding the number of samples required for a given level of signal sparsity. However, using these
Malioutov, Dmitry M.   +2 more
openaire   +4 more sources

SPG4 and Dementia: Expanding the Clinical Spectrum

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza   +19 more
wiley   +1 more source

GMTI on short sequences of pulses with compressed sensing [PDF]

open access: yes, 2022
S.66-70Due to the sparse distribution of ground moving targets, compressed sensing (CS) is a natural approach for their detection. Especially the detection from short CPIs of around 100 pulses is of high interest, since it allows to monitor large areas ...
Prünte, Ludger
core  

High-resolution Wide-swath SAR Moving Target Imaging Technology Based on Distributed Compressed Sensing

open access: yesLeida xuebao, 2020
High-resolution wide-swath SAR moving target imaging is of great significance for target tracking. To achieve target tracking, conversional space-based multichannel SAR technology requires a large number of channels.
PAN Jie   +3 more
doaj   +1 more source

Quantization and Compressive Sensing [PDF]

open access: yes, 2015
35 pages, 20 figures, to appear in Springer book "Compressed Sensing and Its Applications ...
Boufounos, Petros   +3 more
openaire   +3 more sources

Compressed hyperspectral sensing [PDF]

open access: yesSPIE Proceedings, 2015
Acquisition of high dimensional Hyperspectral Imaging (HSI) data using limited dimensionality imaging sensors has led to restricted capabilities designs that hinder the proliferation of HSI. To overcome this limitation, novel HSI architectures strive to minimize the strict requirements of HSI by introducing computation into the acquisition process.
Grigorios Tsagkatakis   +1 more
openaire   +1 more source

The Role of Calcitonin Gene‐Related Peptide in High‐Altitude Headache: A Prospective Field Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective High‐altitude headache (HAH) is a common neurological condition associated with rapid ascent to high altitude. The pathophysiological mechanisms underlying HAH remain incompletely understood. Calcitonin gene‐related peptide (CGRP), a neuropeptide implicated in migraine pathophysiology, may play a key role in the pathophysiology of ...
Roman Schniepp   +4 more
wiley   +1 more source

(Compressed) sensing and sensibility [PDF]

open access: yesProceedings of the National Academy of Sciences, 2011
For decades, researchers have built computer models of molecular interactions to predict properties of new molecules (1). These models take the form of potential functions, equations that can be used predict the molecular energy of interaction. Potential functions have very broad applications. Other than ab initio quantum mechanics-based approaches (2),
openaire   +2 more sources

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