Advertisement

Analog-to-Probability Conversion— Efficient Extraction of Information Based on Stochastic Signal Models

  • Christian AdamEmail author
  • Michael H. Teyfel
  • Dietmar Schroeder
Conference paper
Part of the Mathematics in Industry book series (MATHINDUSTRY, volume 30)

Abstract

Analog-to-probability conversion is introduced as a new concept for efficient parameter extraction from analog signals that can be described by nonlinear models. The current state of information about these parameters is represented by a multivariate probability distribution. Only a digital-to-analog converter and a comparator are required as acquisition hardware. The introduced approach reduces the number of comparisons to be done by the hardware and therefore the total energy consumption. As a proof of concept the algorithm is implemented on a system-on-chip and compared to a nonlinear least squares approach.

References

  1. 1.
    Basu, S., Duch, L., Peón-Quirós, M., Atienza, D., Ansaloni, G., Pozzi, L.: Heterogeneous and inexact: maximizing power efficiency of edge computing sensors for health monitoring applications. In: International Symposium on Circuits and Systems (2018)Google Scholar
  2. 2.
    Cypress Semiconductor: CY8CKIT-059 PSoC 5LP prototyping kit with onboard programmer and debugger (2017). http://www.cypress.com/CY8CKIT-059
  3. 3.
    Das, S., Martin, K.J.M., Coussy, P., Rossi, D.: A heterogeneous cluster with reconfigurable accelerator for energy efficient near-sensor data analytics. In: International Symposium on Circuits and Systems (2018)Google Scholar
  4. 4.
    Moore, S.K.: Intel starts R&D effort in probabilistic computing for AI. In: IEEE Spectrum Automaton Blog (2018)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Christian Adam
    • 1
    Email author
  • Michael H. Teyfel
    • 1
  • Dietmar Schroeder
    • 1
  1. 1.Institute of Nano and Medical ElectronicsHamburg University of TechnologyHamburgGermany

Personalised recommendations