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Can I read Spin-stand Microscopy of Hard Disk Data (Elsevier Series in Electromagnetism) (Elsevier Series in Electromagnetism) on EtoBox?
Spin-stand Microscopy of Hard Disk Data (Elsevier Series in Electromagnetism) (Elsevier Series in Electromagnetism) by Isaak D. Mayergoyz; Chun Tse is a nonfiction available to read on EtoBox.
What is Spin-stand Microscopy of Hard Disk Data (Elsevier Series in Electromagnetism) (Elsevier Series in Electromagnetism) about?
This book provides an in-depth exposition of spin-stand microscopy of hard disk data which is a new technique recently developed and extensively tested by the authors of the book. Spin-stand microscopy is the first magnetic imaging technique where imaging is performed ex-situ on a rotating disk mounted on a spin-stand. This technique is one of the fastest scanning-based microscopy techniques. It is non-invasive and has nano-scale resolution. For these reasons, it provides unique capabilities for the visualization of magnetization patterns recorded on hard disks. This book is self-contained and it covers in sufficient details the basic facts of magnetic data storage technology, the principles and theory of spin-stand microscopy, its experimental implementations, as well as its applications in hard disk diagnostics, imaging of overwritten patterns, computer forensics of hard disk files, and data-dependent magnetic thermal relaxations of recorded magnetization patterns. This book will be a valuable reference for the magnetic data storage community, magnetic microscopy professionals as well as engineers and scientists involved in computer data forensics, commercial data recovery, and t
Who reads Spin-stand Microscopy of Hard Disk Data (Elsevier Series in Electromagnetism) (Elsevier Series in Electromagnetism)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Isaak D. Mayergoyz; Chun Tse
- Publisher
- Elsevier Science
- Published
- 2007
- Language
- EN
- ISBN
- 9781280746642
- Category
- nonfiction
- Subjects
- Science, Computer Science, Engineering
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