找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Computational Electromagnetics and Model-Based Inversion; A Modern Paradigm fo Harold A Sabbagh,R. Kim Murphy,Jeremy S Knopp Book 2013 Spri

[復制鏈接]
樓主: frustrate
21#
發(fā)表于 2025-3-25 03:49:58 | 只看該作者
https://doi.org/10.1007/978-3-322-99747-0re pernicious to the reliable detection and reconstruction of a flaw than random (electronic) noise that can be often eliminated by averaging. Hence, the ability to model clutter and reject it is paramount to the successful application of inverse methods and is the subject of the first part of this chapter.
22#
發(fā)表于 2025-3-25 09:34:27 | 只看該作者
Advanced Probe Models Based on Magnetic Dipoles and Ferrite Coreschapter, we develop a theory that allows us to efficiently discretize the current density in such probes, thereby allowing us to use transfer matrices (these will be discussed in Chap. 10) and similar mathematical constructs for solving problems.
23#
發(fā)表于 2025-3-25 13:53:40 | 只看該作者
24#
發(fā)表于 2025-3-25 16:06:12 | 只看該作者
25#
發(fā)表于 2025-3-25 22:37:45 | 只看該作者
Stephan Gerhard Huber,Anna Zoss, one can generate a two-dimensional “scan” with a suitable array, without moving it. This can be very effective when doing voxel-based inversions, as will be discussed in a later volume of this work.
26#
發(fā)表于 2025-3-26 01:12:41 | 只看該作者
27#
發(fā)表于 2025-3-26 06:35:44 | 只看該作者
28#
發(fā)表于 2025-3-26 10:15:06 | 只看該作者
29#
發(fā)表于 2025-3-26 15:33:09 | 只看該作者
Overview of Methods of Computational Electromagnetics upon the specific application), but the technology still suffers from a lack of algorithms and software to allow its full potential to be realized. The electromagnetics code, .., was developed to alleviate that problem, and in this book we apply ..to solve forward and inverse problems in eddy-current NDE.
30#
發(fā)表于 2025-3-26 17:18:24 | 只看該作者
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-5 16:10
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
屏边| 谷城县| 许昌市| 盈江县| 保靖县| 凤山市| 韶山市| 故城县| 衡东县| 蚌埠市| 铜梁县| 东兴市| 微山县| 灌云县| 尉氏县| 开鲁县| 荔波县| 原阳县| 临海市| 巨野县| 沈阳市| 翁牛特旗| 温宿县| 广东省| 大荔县| 吴忠市| 桂阳县| 和顺县| 松潘县| 新营市| 东乡县| 青岛市| 尖扎县| 鄂托克旗| 资兴市| 罗城| 彭阳县| 永寿县| 达孜县| 临泽县| 中宁县|