12 research outputs found

    Polarization Effects in Optical Fiber Links

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    Infrared Sensor to Predict Atmospheric Visibility and Rainfall Rate

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    The presented paper describes an instrument called Aurometer which was designed for both atmospheric visibility and rainfall rate measurement. The principle of operation of Aurometer is based on determining the amount of light scattered by particles in the air that passes through the sample volume. The achieved results show that simultaneous estimation of the atmospheric visibility and rainfall rate is possible

    Impact of Filter Characteristics and Optical Signal Parameters on Interchannel Crosstalk

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    In this paper we present analysis of the influence of filter characteristics of Wavelength Division Multiplexing network components and transmission parameters over interchannel crosstalk for symmetric and asymmetric transmission. The simulation was carried out for bit rate 10 Gb/s, 40 Gb/s and 100 Gb/s considering the following modulations: DPSK, DQPSK and OOK. The obtained results show that OOK and DQPSK modulation are better than DPSK modulation in terms of crosstalk occurring during the transmission of signals in Wavelength Division Multiplexing systems.

    Simple analysis of the impact of packet loss and delay on voice transmission quality, Journal of Telecommunications and Information Technology, 2002, nr 2

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    In this paper a simple analytical expression based on E-model is applied to analyse the impact of packet loss and delay on voice transmission quality. The relationship between overall transmission quality rating, packet loss and delay G.711, G.723 and G.729 codecs is presented

    Design of WDM Transmission System for Medical Data Exchange , Journal of Telecommunications and Information Technology, 2014, nr 2

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    This paper describes design of the Wavelength Division Multiplexing (WDM) transmission system using Alien Wavelength channels for medical data exchange. Main purpose of such system is to develop variety of services for medical cases diagnostics in order to comply with modern standards in telemedicine. Those standards refer to photo or video data transmission produced by diagnostic devices used in radiological centers together with text data concerning medical case analysis and patient data. These features are delivered by Picture Archiving and Communication System (PACS). PACS describes intra-hospital network organization, which applies to constructing system data from raw graphical data and text information according to Digital Imaging and Communications in Medicine (DICOM) version 3.0 standard. This standard is used by authors to evaluate necessary bit rate concerning all types of services delivered by PACS and cumulative throughput of link connections between hospitals and databases. Organization of this connections in metropolitan WDM system using advantages of Alien Wavelength technique is this article the main goal. Difference between configurable and non-configurable 10 Gigabit Small Form Factor Pluggable (XFP) end devices for AlienWavelength channels are analyzed and compared with the standard approach using transponder cards

    Simultaneous monitoring of chromatic dispersion and optical signal to noise ratio in optical links using convolutional neural network and asynchronous delay-tap sampling

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    The article presents a method for image analysis using asynchronous delay-tap sampling (ADTS) technique and convolutional neural networks (CNNs), allowing simultaneous monitoring of many phenomena occurring in the physical layer of the optical network. The ADTS method makes it possible to visualize the course of the optical signal in the form of characteristics (so-called phase portraits), which change their shape under the influence of phenomena (including chromatic dispersion, amplified spontaneous emission noise and other). Using the VPI photonics software,a simulation model of the ADTS technique was built. After the simulation tests, 10000 images were obtained, which after proper preparation were subjected to further analysis using CNN algorithms. The main goal of the study was to train a CNN to recognize the selected impairment (distortion); then to test its accuracy and estimate the impairment for the selected set of test images. The input data consisted of processed binary images in the form of two-dimensional matrices, with the position of the pixel. This article focuses on the analysis of images containing simultaneously the phenomena of chromatic dispersion and optical signal to noise ratio
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