Results 21 to 30 of about 1,128,000 (254)

Video Compressive Sensing Reconstruction Algorithm Based on 3D Tree Structure and Bayesian Model [PDF]

open access: yesJisuanji gongcheng, 2016
In view of the traditional underwater video coding requiring higher underwater acoustic channel and the scenes of underwater video with uneven illumination being complex and not fixed,this paper presents a reconstruction algorithm with Three Dimension(3D)
ZHUANG Yanbin,WANG Zunzhi,XIAO Xianjian,ZHANG Xuewu
doaj   +1 more source

An Overview on Deep Learning Techniques for Video Compressive Sensing

open access: yesApplied Sciences, 2022
The use of compressive sensing in several applications has allowed to capture impressive results, especially in various applications such as image and video processing and it has become a promising direction of scientific research.
Wael Saideni   +3 more
doaj   +1 more source

Fast and efficient compressive sensing using structurally random matrices [PDF]

open access: yes, 2012
This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2011 IEEE. Personal use of this material is permitted.
Trac D. Tran   +7 more
core   +1 more source

Photonics-enabled sub-Nyquist radio frequency sensing based on temporal channelization and compressive sensing [PDF]

open access: yes, 2014
A novel approach to sensing broadband radio frequency (RF) spectrum beyond the Nyquist limit based on photonic temporal channelization and compressive sensing is proposed.
Wang, Chao   +3 more
core   +1 more source

Influence of turbulence on active compressive sensing imaging

open access: yes, 2023
This paper presents experimental investigations on active compressive sensing imaging through turbulence. We developed a laboratory testbed in which different compressive sensing configurations have been tested under various turbulence conditions. Series
Paunescu, Gabriela   +2 more
core   +1 more source

A Novel Strategy for Radar Imaging Based on Compressive Sensing [PDF]

open access: yes, 2010
Radar data have already proven to be compressible with no significant losses for most of the applications in which it is used. In the framework of information theory, the compressibility of a signal implies that it can be decomposed onto a reduced set of
López-Dekker, Paco   +8 more
core   +1 more source

Energy-efficient sensing in wireless sensor networks using compressed sensing [PDF]

open access: yes, 2014
Sensing of the application environment is the main purpose of a wireless sensor network. Most existing energy management strategies and compression techniques assume that the sensing operation consumes significantly less energy than radio transmission ...
Razzaque, Mohammad Abdur   +6 more
core   +1 more source

New Face Representation Using Compressive Sensing [PDF]

open access: yes, 2011
In this paper we present a new descriptor for representing face images. We used compressive sensing concept to prepare a Gaussian Random or Binary Random Measurement Matrix (GRMM). We simply project the face images to new space using GRMM. Classification
A. Enis Cetin   +6 more
core   +1 more source

Convolutional compressed sensing using deterministic sequences [PDF]

open access: yes, 2012
This is the author's accepted manuscript (with working title "Semi-universal convolutional compressed sensing using (nearly) perfect sequences"). The final published article is available from the link below. Copyright @ 2012 IEEE.
Cong Ling   +4 more
core   +1 more source

Compressive Quantum Sensing [PDF]

open access: yes, 2014
Compressive sensing utilizes sparsity to realize efficient image reconstruction. It is a valuable processing technique when cost, power, technology or computational overhead are limited or high.
John C. Howell, Howell, John C.
core   +1 more source

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