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Stochastic Computing: Techniques and Applications

This book covers the history and recent developments of stochastic computing. Stochastic computing (SC) was first introduced in the 1960s for logic circuit design, but its origin can be traced back to von Neumann's work on probabilistic logic. In SC, real numbers are encoded by random binary bi...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Gross, Warren J. (Editör), Gaudet, Vincent C. (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edisyon:1st ed. 2019.
Konular:
Online Erişim:Full-text access
İçindekiler:
  • Foreword: Gulak
  • 1. Introduction to Stochastic Computing (Gaudet, Gross, Smith)
  • 2. Origins of Stochastic Computing (Gaines)
  • 3. Tutorial on Stochastic Computing (Winstead)
  • 4. Accuracy and Correlation in Stochastic Computing (Alaghi, Ting, Lee, Hayes)
  • 5. Synthesis of Polynomial Functions (Riedel, Qian)
  • 6. Deterministic Approaches to Bitstream Computing (Riedel)
  • 7. Generating Stochastic Bitstreams (Hsiao, Anderson, Hara-Azumi)
  • 8. RRAM Solutions for Stochastic Computing (Knag, Gaba, Lu, Zhang)
  • 9 Spintronic Solutions for Stochastic Computing (Jia, Wang, Huang, Zhang, Yang, Qu, et al.)
  • 10. Brain-inspired computing (Onizawa, Gross, Hanyu)
  • 11. Stochastic Decoding of Error-Correcting Codes (Leduc-Primeau, Hemati, Gaudet, Gross).