Stochastic Computing

Name: Stochastic Computing
Brand: Springer Nature Switzerland AG
SKU: 9783030037291
Price: 13500 KES
Availability: OutOfStock
ISBN: 9783030037291

2019 ed.

Book Details

Format Hardback

ISBN-10 3030037290

ISBN-13 9783030037291

Edition 2019 ed.

Publisher Springer Nature Switzerland AG

Imprint Springer Nature Switzerland AG

Country of Manufacture CH

Country of Publication GB

Publication Date Mar 4th, 2019

Print length 215 Pages

Weight 500 grams

Dimensions 24.10 x 16.50 x 2.00 cms

Product Classification: Probability & statistics Probability and statistics Stochastics Circuits & components Electronics: circuits and components Computer architecture & logic design Computer architecture and logic design

KSh 13,500.00

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This book covers the history and recent developments of stochastic computing. 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.

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.

Get Stochastic Computing by Vincent C. Gaudet at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Nature Switzerland AG and it has 215 pages.