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Stochastic Computing: Techniques and Applications (Hardcover, 1st ed. 2019)
Loot Price: R2,716
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Stochastic Computing: Techniques and Applications (Hardcover, 1st ed. 2019)
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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 bit streams, and information is
carried on the statistics of the binary streams. SC offers
advantages such as hardware simplicity and fault tolerance. Its
promise in data processing has been shown in applications including
neural computation, decoding of error-correcting codes, image
processing, spectral transforms and reliability analysis. There are
three main parts to this book. The first part, comprising Chapters
1 and 2, provides a history of the technical developments in
stochastic computing and a tutorial overview of the field for both
novice and seasoned stochastic computing researchers. In the second
part, comprising Chapters 3 to 8, we review both well-established
and emerging design approaches for stochastic computing systems,
with a focus on accuracy, correlation, sequence generation, and
synthesis. The last part, comprising Chapters 9 and 10, provides
insights into applications in machine learning and error-control
coding.
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