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Navegando por Assunto "Video transmission"

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    Implementação em software da codificação de canal em ADSL: um estudo de caso sobre os efeitos do ruído impulsivo na transmissão de vídeo
    (Universidade Federal do Pará, 2011-03-25) CORRÊA, Fernanda Regina Smith Neves; KLAUTAU JÚNIOR, Aldebaro Barreto da Rocha; http://lattes.cnpq.br/1596629769697284; PELAES, Evaldo Gonçalves; http://lattes.cnpq.br/0255430734381362
    This work describes the implementation in software of the channel coding used in the ADSL standard. The theory of channel coding is described, as well as the channel coding implemented in the Software Modem ADSL using the development environment Ptolemy II. The implementation of a impulsive noise model is also presented. To ensure that the implementation meets the ADSL standard, tests using the DSL systems analyzer TraceSpan are described. This work also presents an application example of the Software Modem ADSL, characterized by a study case on the e ects of impulsive noise in the video transmission, analyzing the impact of some parameters of channel coding in the correction of errors.
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    Modelagem Cross-Layer da qualidade de experiência para transmissões de vídeo em sistemas sem fio OFDM
    (Universidade Federal do Pará, 2014-02-28) CASTRO, Bruno Souza Lyra; CAVALCANTE, Gervásio Protásio dos Santos; http://lattes.cnpq.br/2265948982068382
    This work presents a study about video transmission in wireless systems. The applied methodology aims to prove the existence of a direct relationship between BER and quality loss (PSNR loss) on video streams in OFDM (Orthogonal Frequency Division) systems. The results were obtained from simulations, developed in MatlabTM environment, and, measurements in real scenarios, held on university campus and inside the research laboratory in an controlled environment. From the comparison between simulated and measured data it was possible to prove the relationship between BER and PSNR loss, which led to the formulation of an empirical Cross-Layer Model with exponential characteristic. The modeling has obtained a RMS error and standard deviation close to 1.65 dB when compared to simulations. Moreover, its validation was performed from data obtained from real-world scenarios, which were not used to adjust the parameters of the proposed equation. This Cross-Layer model does not depend on the type of channel or coding in FEC (Forward Error Correction), allowing future integration with commercial or open-source network planning softwares.
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