Results 51 to 60 of about 9,948,343 (299)
Sparse measurements, compressed sampling, and DNA microarrays [PDF]
, 2008 DNA microarrays comprising tens of thousands of probe spots are currently being employed to test multitude of targets in a single experiment. Typically, each microarray spot contains a large number of copies of a single probe designed to capture a single
Hassibi, B. +3 more
core +1 more source
, 2013 Traditional compressed sensing considers sampling a 1D signal. For a multidimensional signal, if reshaped into a vector, the required size of the sensing matrix becomes dramatically large, which increases the storage and computational complexity ...
Fang, Hao +3 more
core +1 more source
Signal Estimation with Additive Error Metrics in Compressed Sensing [PDF]
, 2013 Compressed sensing typically deals with the estimation of a system input from its noise-corrupted linear measurements, where the number of measurements is smaller than the number of input components.
Danielle Carmon +4 more
core +3 more sources
Improved sampling of compressed gases for condensable hydrocarbon content [PDF]
, 1972 Sampling process was developed which uses commercially available high pressure filters and provides measurements in fraction of time required by older methods.
Fickey, E. W., Peterson, M. H.
core +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
An Enhanced Photonic-Assisted Sampling Approach for Spectrum-Sparse Signal by Compressed Sensing
IEEE Access, 2022 Spectrum-sparse signals are vital for wideband radar and wireless communication applications. A high-speed analog-to-digital converter (ADC) with the capacities of tens of gigahertz sampling rates is often required to acquire these signals. In this work,
Fangxing Lyu +4 more
doaj +1 more source
Low-Complexity Adaptive Sampling of Block Compressed Sensing Based on Distortion Minimization
Sensors, 2022 Block compressed sensing (BCS) is suitable for image sampling and compression in resource-constrained applications. Adaptive sampling methods can effectively improve the rate-distortion performance of BCS.
Qunlin Chen, Derong Chen, Jiulu Gong
doaj +1 more source
Deep Networks for Compressed Image Sensing
, 2017 The compressed sensing (CS) theory has been successfully applied to image compression in the past few years as most image signals are sparse in a certain domain.
Jiang, Feng +3 more
core +1 more source
Life‐Threatening Bradycardia in Anti‐NMDA‐Receptor Encephalitis and a Novel Use for Permanent Pacing
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Pediatric anti‐NMDA receptor encephalitis (pNMDARE) is an autoantibody‐mediated disorder that can cause severe autonomic dysfunction, including symptomatic bradycardia and asystole. Dysautonomia can last for years, making it very challenging to manage.
Sarah Tucker +9 more
wiley +1 more source