911 research outputs found
Adaptive equaliser with asynchronous detection and inhibit signal generator
No full textInternational Patent, Application PCT/EP2010/065558, October 201
Alternative to Reed-Solomon codes for forward error correction on optical channels
No full textIn this paper, forward error correction schemes are discussed
for application in the multigigabit-per-second optical channel. The proposed schemes, based on specific convolutional codes which allow simple decoding techniques, represent a valid alternative, in terms of performance and complexity, to the recommended Reed-Solomon codes
Method based on mean square error for the adaptive adjustment of PMD compensators in optical fiber communication systems and compensator in accordance with said method
No full textMetodo basato sull'errore quadratico medio per la regolazione adattativa di compensatori di PMD in sistemi di comunicazione a fibra ottica e compensatore secondo il metodo
No full textStop-and-Go Algorithm for Blind Equalization in QAM Single-Carrier Coherent Optical Systems
No full textCoherent detection has recently allowed the adoption
of high-order modulation formats in single-carrier optical systems
where a simple feed-forward equalizer, in proper configuration, is
able to perfectly compensate for fiber linear impairments, such as
group velocity dispersion and polarization-mode dispersion. In this
letter, the blind update of the equalizer taps is investigated with
reference to a 16-ary quadrature amplitude modulation (QAM)
format in the presence of different channel impairments. A novel
algorithm is proposed, which represents an improvement of the
stop-and-go, through the use of a powerful asynchronous detection
strategy
Fashion Product Classification through Deep Learning and Computer Vision
No full textVisual classification of commercial products is a branch of the wider fields of object detection and feature extraction in computer vision, and, in particular, it is an important step in the creative workflow in fashion industries. Automatically classifying garment features makes both designers and data experts aware of their overall production, which is fundamental in order to organize marketing campaigns, avoid duplicates, categorize apparel products for e-commerce purposes, and so on. There are many different techniques for visual classification, ranging from standard image processing to machine learning approaches: this work, made by using and testing the aforementioned approaches in collaboration with Adidas AG™, describes a real-world study aimed at automatically recognizing and classifying logos, stripes, colors, and other features of clothing, solely from final rendering images of their products. Specifically, both deep learning and image processing techniques, such as template matching, were used. The result is a novel system for image recognition and feature extraction that has a high classification accuracy and which is reliable and robust enough to be used by a company like Adidas. This paper shows the main problems and proposed solutions in the development of this system, and the experimental results on the Adidas AG™ dataset
Fine morphology of the myrmecophilous larva of Paussus kannegieteri (Coleoptera: Carabidae: Paussinae: Paussini). Corresponding author
No full textFIGURES 13–18. Paussus kannegieteri third instar larva: 13, thorax, left lateral view; 14, thorax, dorsal view; 15, mesothoracic spiracle; 16, metathoracic spiracle-like structure; 17, mesothoracic leg, anterolateral view; 18, apex of metathoracic leg with lanceolate setae, posterolateral view. CO = coxa, ls = lanceolate setae, m = membrane, ME = mesonotum, MT = metanotum, pe = peritreme, PR = pronotum, un = claw. Scale bars: Figs. 13–14 = 500 µm; Fig. 15 = 10 µm; Fig. 16 = 20 µm; Fig. 17 = 200 µm; Fig. 18 = 50 µm.Published as part of Giulio, Andrea Di, 2008, Fine morphology of the myrmecophilous larva of Paussus kannegieteri (Coleoptera: Carabidae: Paussinae: Paussini), pp. 37-50 in Zootaxa 1741 on page 44, DOI: 10.5281/zenodo.18152
Multilevel optical modulations with closed-form optical metrics for MLSE receiver insensitive to GVD and PMD
No full textSystem, method and apparatus for polarization mode dispersion compensation and demultiplexing polarization multiplexed signals
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