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- W2901183186 abstract "Recent successes and advances in Deep Neural Networks (DNN) in machine vision and Natural Language Processing (NLP) have motivated their use in traditional signal processing and communications systems. In this paper, we present results of such applications to the problem of automatic modulation recognition. Variations in wireless communication channels are represented by statistical channel models and their parameterization will increase with the advent of 5G. In this paper, we report effect of simple two path channel model on our naive deep neural network based implementation. We also report impact of adversarial perturbation to the input signal." @default.
- W2901183186 created "2018-11-29" @default.
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- W2901183186 date "2018-11-14" @default.
- W2901183186 modified "2023-09-26" @default.
- W2901183186 title "Deep Neural Networks based Modrec: Some Results with Inter-Symbol Interference and Adversarial Examples." @default.
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