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Rok 2024
  • A Novel Iterative Decoding for Iterated Codes Using Classical and Convolutional Neural Networks
    Publikacja

    - Rok 2024

    Forward error correction is crucial for communication, enabling error rate or required SNR reduction. Longer codes improve correction ratio. Iterated codes offer a solution for constructing long codeswith a simple coder and decoder. However, a basic iterative code decoder cannot fully exploit the code’s potential, as some error patterns within its correction capacity remain uncorrected.We propose two neural network-assisted decoders:...

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  • Accurate Post-processing of Spatially-Separated Antenna Measurements Realized in Non-Anechoic Environments
    Publikacja

    - Rok 2024

    Antenna far-field performance is normally evaluated in expensive laboratories that maintain strict control over the propagation environment. Alternatively, the responses can be measured in non-anechoic conditions and then refined to extract the information on the structure field-related behavior. Here, a framework for correction of antenna measurements performed in non-anechoic test site has been proposed. The method involves automatic...

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  • Architectural Modifications to Enhance Steganalysis with Convolutional Neural Networks
    Publikacja

    This paper investigates the impact of various modifications introduced to current state-of-the-art Convolutional Neural Network (CNN) architectures specifically designed for the steganalysis of digital images. Usage of deep learning methods has consistently demonstrated improved results in this field over the past few years, primarily due to the development of newer architectures with higher classification accuracy compared to...

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