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Showing 1 to 5 of 5 for “"statistical error compensation"”.

  1. Overcoming nanoscale variations through statistical error compensation

    … developed to overcome processing non-idealities. Statistical error compensation (SEC) is a class of system-level, communication-inspired techniques for designing energy efficient and robust systems. In this thesis, stochastic sensor network on chip (SSNOC), a known SEC technique, is applied to a …

    uiuc Repository record for Overcoming nanoscale variations through statistical error compensation (opens in a new tab)

  2. Statistical error compensation for robust digital signal processing and machine learning

    … are inherently probabilistic and robust to errors, statistical error compensation (SEC) techniques can play a significant role in achieving robust and energy-efficient implementation of these important kernels. SEC embraces the statistical nature of errors and utilizes statistical and …

    uiuc Repository record for Statistical error compensation for robust digital signal processing and machine learning (opens in a new tab)

  3. High performance and error resilient probabilistic inference system for machine learning

    … system for QVGA stereo videos. Next, we consider error resilience of the message passing hardware for energy efficient hardware implementation. Modern nanoscale CMOS process technologies suffer in reliability caused by process, temperature and voltage variations. Conventional approaches to deal …

    uiuc Repository record for High performance and error resilient probabilistic inference system for machine learning (opens in a new tab)

  4. Energy-efficient systems for information transfer and processing

    … the use of information-based metrics such as bit-error-rate (BER) to design a BER-optimal ADC (BOA) for serial links. First, theoretical analysis is developed to show when the benefits of BOA over a conventional uniform ADC (CUA) in a serial link receiver are substantial. Second, a \unit[4]{GS/s}, …

    uiuc Repository record for Energy-efficient systems for information transfer and processing (opens in a new tab)

  5. Design of robust ultra-low power platform for in-silicon machine learning

    … fabrics, this dissertation proposes to employ statistical error compensation (SEC) as an effective error compensation technique. This dissertation makes a contribution to the portfolio of SEC by proposing embedded algorithmic noise tolerance (E-ANT) for low overhead error compensation. E-ANT …

    uiuc Repository record for Design of robust ultra-low power platform for in-silicon machine learning (opens in a new tab)