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IMPROVING OPTICAL FIBER SENSING BY MIMO SIGNAL PROCESSING

open access: diamondInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2016
Optical fiber sensors have reached a high state of maturity. Besides the high number of sensor groups, multi-mode fiber evanescent field sensors can be found in a lot of applications.
Andreas Ahrens   +4 more
doaj   +2 more sources

Ultrafast Optical Signal Processing with Bragg Structures

open access: yesApplied Sciences, 2017
The phase, amplitude, speed, and polarization, in addition to many other properties of light, can be modulated by photonic Bragg structures. In conjunction with nonlinearity and quantum effects, a variety of ensuing micro- or nano-photonic applications ...
Yikun Liu   +4 more
doaj   +4 more sources

All Optical Signal-Processing Techniques Utilizing Four Wave Mixing [PDF]

open access: goldPhotonics, 2015
Four Wave Mixing (FWM) based optical signal-processing techniques are reviewed. The use of FWM in arithmetical operation like subtraction, wavelength conversion and pattern recognition are three key parts discussed in this paper after a brief ...
Refat Kibria, Michael W. Austin
doaj   +2 more sources

Progress in silicon-based reconfigurable and programmable all-optical signal processing chips. [PDF]

open access: diamondFront Optoelectron
Xu J   +27 more
europepmc   +2 more sources

AN AUTOMATED SOFTWARE FRAMEWORK FOR EVALUATION AND IMPROVEMENT OF ABSOLUTE GEOMETRIC LOCATION ACCURACY OF MULTISPECTRAL REMOTE SENSING SATELLITE IMAGERY [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Geometric accuracy is an important parameter for quality assessment of a data product and is vital for certain applications aiming on improving and bringing precision in data products.
Y. Bhateja   +3 more
doaj   +1 more source

Cloud Detection of Remote Sensing Image Based on Multi-Scale Data and Dual-Channel Attention Mechanism

open access: yesRemote Sensing, 2022
Cloud detection is one of the critical tasks in remote sensing image preprocessing. Remote sensing images usually contain multi-dimensional information, which is not utilized entirely in existing deep learning methods.
Qing Yan   +7 more
doaj   +1 more source

Parasitic Elements Shorted to Ground to Enhance the Bandwidth of a Dual-Polarized Antenna

open access: yesInternational Journal of Antennas and Propagation, 2022
An ultra-wideband dual-polarized antenna covering multiple communication standards such as LTE700/GSM850/GSM900 is proposed in this paper. The antenna consists of two dipoles that are perpendicularly placed to each other. The two dipoles can generate +45°
Haokai Jia, Jinjun Mo, Lin Peng
doaj   +1 more source

Combination of deep learning with representation learning in X-ray prohibited item detection

open access: yesFrontiers in Physics, 2023
During X-ray inspection detection, a detector converts the collected X-rays from objects into electrical signals, which are then transmitted to a computer for image processing and analysis.
Jianghao Rao   +8 more
doaj   +1 more source

Cooperative radar with signature method for unambiguity [PDF]

open access: yesAdvances in Radio Science, 2019
The increasing availability of off-the-shelf high-frequency components makes radar measurement become popular in mainstream industrial applications. We present a cooperative FM radar for strongly reflective environments, being devised for a range of up ...
S. Müller, A. R. Diewald
doaj   +1 more source

MFCD-Net: Cross Attention Based Multimodal Fusion Network for DPC Imagery Cloud Detection

open access: yesRemote Sensing, 2022
As one kind of remote sensing image (RSI), Directional Polarimetric Camera (DPC) data are of great significance in atmospheric radiation transfer and climate feedback.
Jingjing Zhang   +7 more
doaj   +1 more source

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