Stochastic Computing: Techniques and Applications

Warren J. Gross, Vincent C. Gaudet

Informasi Dasar

21.21.1189
621.3815
Buku - Elektronik (E-Book)
12b

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.

Subjek

Electronics circuits
 

Katalog

Stochastic Computing: Techniques and Applications
978-3-030-03730-7
215p.: pdf file.; 8 MB
English

Sirkulasi

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Pengarang

Warren J. Gross, Vincent C. Gaudet
Perorangan
 
 

Penerbit

Springer International Publishing
 
2019

Koleksi

Kompetensi

 

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