Katharina Scharff

Evaluation of Interconnects up to 100 GHz Using Machine Learning


Front	Back

ISBN:

978-3-8440-8534-1

Series:

Elektrotechnik

Keywords:

Machine Learning; Interconnects; Signal Integrity

Type of publication:

Thesis

Language:

English

Pages:

188 pages

Figures:

99 figures

Weight:

279 g

Format:

21 x 14,8 cm

Bindung:

Paperback

Price:

48,80 € / 61,10 SFr

Published:

April 2022

Buy:

Download:

Available PDF-Files for this title:

You need the Adobe Reader, to open the files. Here you get help and information, for the download.

These files are not printable.


	Document		Document
	Type		PDF
	Costs		36,60 EUR
	Action		Purchase in obligation and display of file - 6,5 MB (6777897 Byte)
	Action		Purchase in obligation and download of file - 6,5 MB (6777897 Byte)


	Document		Table of contents
	Type		PDF
	Costs		free
	Action		Display of file - 292 kB (298909 Byte)
	Action		Download of file - 292 kB (298909 Byte)

User settings for registered users

You can change your address here or download your paid documents again.

User:	Not logged in.
Actions:	Login / Register Forgotten your password?

Recommendation:

You want to recommend this title?

Review copy:

Here you can order a review copy.

Link:

You want to link this page? Click here.

Export citations:

Text
BibTex
RIS

Abstract:

This thesis presents a contribution to the evaluation and modeling of high-speed electrical interconnects on printed circuit boards up to 100 GHz using machine learning. Parametric studies of different models are conducted with efficient numerical methods. The crosstalk is analyzed for different interconnect types. Machine learning methods are introduced as an alternative design method. They are evaluated regarding the reliability of the predictions and the necessary effort.