Results 71 to 80 of about 241 (175)

PAPR REDUCTION IN ACO-OFDM FOR VISIBLE LIGHT COMMUNICATION SYSTEM [PDF]

open access: yesJournal of Engineering Science and Technology, 2018
Visible Light Communication (VLC) is gaining popularity in optical wireless. In conventional OFDM, bi-polar signals having both positive and negative values are considered.
MOHIT SRIVASTAVA   +3 more
doaj  

PAPR reduction using SLM-PTS-CT hybrid PAPR method for optical NOMA waveform. [PDF]

open access: yesHeliyon, 2023
Kumar A   +5 more
europepmc   +1 more source

Pre-Flight Calibration of the Mars 2020 Rover Mastcam Zoom (Mastcam-Z) Multispectral, Stereoscopic Imager. [PDF]

open access: yesSpace Sci Rev, 2021
Hayes AG   +42 more
europepmc   +1 more source

Constrained RS coding for Low Peak to Average Power Ratio in FBMC - OQAM Systems [PDF]

open access: yesJournal of Electrical and Electronics Engineering, 2019
Multi-carrier modulation techniques have now become a standard in many communication protocols. Filter bank based multi-carrier (FBMC) generation techniques have been discussed in the literature as a means for overcoming the shortcomings of IFFT/FFT ...
Job CHUNKATH   +2 more
doaj  

Improving bit error rate in optical wireless OFDM systems through hybrid companding and precoding strategies

open access: yesEURASIP Journal on Wireless Communications and Networking
Visible light communication (VLC) is a promising wireless high-data-rate transmission technology that uses visible light. Optical Orthogonal Frequency Division Multiplexing (OOFDM)-based systems, especially asymmetrically clipped optical OFDM (ACO-OFDM),
Amal Yasser   +2 more
doaj   +1 more source

Fano resonant optical coatings platform for full gamut and high purity structural colors. [PDF]

open access: yesNat Commun, 2023
ElKabbash M   +7 more
europepmc   +1 more source

Adaptive A-Semilogarithmic Gradient Quantization for Efficient Deep Neural Network Training

open access: yesAlgorithms
This paper introduces an adaptive A-semilogarithmic gradient quantization framework aimed at reducing memory overhead and computational complexity during the training of deep neural networks.
Stefan Panić   +3 more
doaj   +1 more source

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