Now showing items 1-4 of 4

    • Compressive sampling architecture for wideband communication 

      Prakash, Chandra (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
      This dissertation proposes a novel Compressive Sampling (CS) scheme for Sub-Nyquist Spectrum Sensing (SNSS) of spectrally sparse wideband signals. A novelty of our proposed SNSS scheme resides in the analog front-end. We ...
    • Defending machine learning models against adversarial attacks using GANs 

      Malaviya, Shubham M. (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      We have used Generative Adversarial Network (GAN) to defend against adversarial attacks. Pixel-wise and perceptual distance measures for images are used in the GAN training. We have used five different distance measures, ...
    • Framework for adaptive video streamingIn satellite networks 

      N, Sushantini (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      Video streaming over satellite networks has to be tactfully handled because of it's inherent characteristic of high latency that leads to inefficiency if feedback mechanismlike TCP is used. Further if the satellite ...
    • MIMO reception in Rayleigh and Rician fading with imperfect channel estimation 

      Baranwal, Sweety (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      Wireless communication technology has undergone significant improvement over the past decades which has lead to the higher data rates and better bit error rate (BER) performance. There has been increase in the demand for ...