Results 61 to 70 of about 487,780 (314)

Shockwave Signal Downsampling Rate Acquisition Based on Sparse Fourier Transform

open access: yesIEEE Access, 2022
The wireless distributed transient shockwave testing system based on Nyquist sampling needs to keep high sampling rate and front-end data processing rate, which leads to the shortening of the life cycle of wireless nodes.
Bo Xu   +6 more
doaj   +1 more source

A Decentralized Bayesian Algorithm For Distributed Compressive Sensing in Networked Sensing Systems [PDF]

open access: yesIEEE Transactions on Wireless Communications, 2016
Compressive sensing (CS), as a new sensing/sampling paradigm, facilitates signal acquisition by reducing the number of samples required for reconstruction of the original signal, and thus appears to be a promising technique for applications where the sampling cost is high, e.g., the Nyquist rate exceeds the current capabilities of analog-to-digital ...
Chen, W, Wassell, IJ
openaire   +3 more sources

Intracellular protein crystallization in living insect cells

open access: yesFEBS Open Bio, EarlyView.
This research protocol provides a step‐by‐step guide for applying the InCellCryst pipeline for intracellular protein crystallization. After gene cloning and generation of recombinant baculoviruses, High Five insect cells are infected for target protein crystallization.
Robert Schönherr   +8 more
wiley   +1 more source

Distributed Compressed Spectrum Sensing via Cooperative Support Fusion

open access: yesInternational Journal of Distributed Sensor Networks, 2013
Spectrum sensing in wideband cognitive radio (CR) networks faces several significant practical challenges, such as extremely high sampling rates required for wideband processing, impact of frequency-selective wireless fading and shadowing, and limitation
Zha Song   +3 more
doaj   +1 more source

A Multichannel Spatial Compressed Sensing Approach for Direction of Arrival Estimation [PDF]

open access: yes, 2010
The final publication is available at http://link.springer.com/chapter/10.1007%2F978-3-642-15995-4_57ESPRC Leadership Fellowship EP/G007144/1EPSRC Platform Grant EP/045235/1EU FET-Open Project FP7-ICT-225913 ...
D. Malioutov   +7 more
core   +4 more sources

A Video Code Based on Distribution Compressive Sensing

open access: yesProcedia Engineering, 2012
AbstractCompressed sensing (CS) is a new technique for simultaneous data sampling and compression. In this paper, we propose a new video coding algorithm based on Distributed Compressive Sampling(DCS) principles, where almost all computation burdens can be shifted to the decoder, resulting in a very lowcomplexity encoder.
WU Minghu, WU Minghu, Zhu Xiu-chang
openaire   +2 more sources

Distributed Compressed Sensing MRI Using Volume Array Coil

open access: yesInternational Journal of Distributed Sensor Networks, 2013
The volume array coil in the magnetic resonance imaging (MRI) system is a typical application of the distributed sensor network in the biomedical area.
Zhen Feng   +6 more
doaj   +1 more source

Compressed Sensing EEG Measurement Technique with Normally Distributed Sampling Series [PDF]

open access: yes
Okabe Y., Kanemoto D., Maida O., et al. Compressed Sensing EEG Measurement Technique with Normally Distributed Sampling Series. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E105A, 1429 (2022); https://doi.org/10.
Hirose, Tetsuya   +3 more
core   +1 more source

Patient setup variation on Elekta Unity and its impact on adaptive planning

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose The unique design of the MR‐linac may restrict the use of effective immobilization devices, resulting in significant patient setup variations (PSVs). The purpose of this study is to analyze the PSVs on the Elekta Unity system and investigate their impact on adaptive planning.
Maggie Yan   +9 more
wiley   +1 more source

An Improved Distributed Multi-User Cooperative Spectrum Sensing Method Based on DCS

open access: yesDianxin kexue, 2013
Distributed compressed sensing theory extends the application of compressed sensing theory, which brings single signal compression sampling to signal group compression sampling.
Jianwu Zhang, Xiaoyan Chen, Xiaorong Xu
doaj   +2 more sources

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