Stochastic Computing: Techniques and Applications (Hardcover, 2019)

Preface: K. C. Smith.- Part I: Preliminaries.- 1. History of stochastic computing (Gross, Gaudet, Gaines?).- 2. Tutorial on stochastic computing (Winstead).- Part II: Design Methodologies.- 3. Accuracy (Hayes).- 4. Correlation (Hayes).- 5. Synthesis of polynomial functions (Riedel).- 6. Deterministic approach to stochastic computing (Riedel).- 7. Generating stochastic sequences (Anderson, Hara).- Part III: Applications.- 8. Brain-inspired computing (Onizawa, Hanyu, and Gross).- 9. In-memory stochastic computing (Zhang).- 10. Decoding of error-correcting codes (Hemati).- 11. Applications in nanotechnology (Han).