Stochastic Computing: Techniques and Applications

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Gross, Warren J. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Gaudet, Vincent C. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Electronic circuits.; Logic design.; Probabilities.; Circuits and Systems.; Logic Design.; Probability Theory and Stochastic Processes.

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...

Πίνακας περιεχομένων:

• 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).