Torrent details for "Miller E. Model-Based Parameter Estimation...Computational Elect…" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
13.6 MB
Info Hash:
654E1668B36033E3ACA24C896954F3CA3DBD5A2B
Added By:
Added:
March 23, 2026, 11:55 a.m.
Stats:
|
(Last updated: March 23, 2026, 11:56 a.m.)
| File | Size |
|---|---|
| Miller E. Model-Based Parameter Estimation...Computational Electromagnetics 2026.pdf | 13.6 MB |
Name
DL
Uploader
Size
S/L
Added
-
152.3 MB
[15
/
3]
2024-10-09
| Uploaded by indexFroggy | Size 152.3 MB | Health [ 15 /3 ] | Added 2024-10-09 |
-
13.6 MB
[29
/
10]
2026-03-23
| Uploaded by andryold1 | Size 13.6 MB | Health [ 29 /10 ] | Added 2026-03-23 |
-
264.0 MB
[33
/
22]
2023-06-02
| Uploaded by PmMedia | Size 264.0 MB | Health [ 33 /22 ] | Added 2023-06-02 |
-
901.5 MB
[15
/
7]
2025-05-03
| Uploaded by Sc4r3cr0w69 | Size 901.5 MB | Health [ 15 /7 ] | Added 2025-05-03 |
NOTE
SOURCE: Miller E. Model-Based Parameter Estimation...Computational Electromagnetics 2026
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format
Computational electromagnetics (CEM) involves modeling the interaction of electromagnetic fields with physical objects and their environment, such as the radiation emitted by antennas and the fields scattered from radar targets.
First-principles or generating models (GMs) based on Maxwell's equations, provide a microscopic, spatial description of the charge and current distributions that normally require several samples per wavelength. Model-based parameter estimation (MBPE) uses a macroscopic, reduced-order, physically based fitting model (FM) to adaptively sample GM results while minimizing the number needed to quantify various EM observables such as frequency responses, far-field radiation patterns, interaction effects, etc. The FMs can reduce the needed GM sampling cost by a factor of 10 or more while yielding a continuous result of needed observables to avoid missing important details. The FMs can also indicate the numerical uncertainty of such quantities from measured as well as computed data
×