eBooks :: Kembali

eBooks :: Kembali

Stochastic computing: techniques and applications

Warren J. Gross, Vincent C. Gaudet, editors (Springer Nature, 2019)

 Abstrak

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 Neumanns 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.

 File Digital: 1

Shelf
 Stochastic Computing- Techniques and Applications.pdf :: Unduh

LOGIN required

 Metadata

Jenis Koleksi : eBooks
No. Panggil : e20509735
Entri tambahan-Nama orang :
Subjek :
Penerbitan : Switzerland: Springer Nature, 2019
Sumber Pengatalogan: LibUI eng rda
Tipe Konten: text
Tipe Media: computer
Tipe Pembawa: online resource
Deskripsi Fisik: xvi, 215 pages : illustration
Tautan: https://doi.org/10.1007/978-3-030-03730-7
Lembaga Pemilik:
Lokasi:
  • Ketersediaan
  • Ulasan
  • Sampul
No. Panggil No. Barkod Ketersediaan
e20509735 02-20-883679878 TERSEDIA
Ulasan:
Tidak ada ulasan pada koleksi ini: 20509735
Cover