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Acceleration of Finite Difference Ti...

Colorado School of Mines.

Acceleration of Finite Difference Time Domain Modeling Using GPU and Transfer Functions with Application to Channel Modeling.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Acceleration of Finite Difference Time Domain Modeling Using GPU and Transfer Functions with Application to Channel Modeling./
Author:	Diener, Joseph Elliott.
Description:	1 online resource (78 pages)
Notes:	Source: Masters Abstracts International, Volume: 57-01.
Contained By:	Masters Abstracts International57-01(E).
Subject:	Electrical engineering. -
Online resource:	click for full text (PQDT)
ISBN:	9780355265965

Acceleration of Finite Difference Time Domain Modeling Using GPU and Transfer Functions with Application to Channel Modeling.
Diener, Joseph Elliott.

Acceleration of Finite Difference Time Domain Modeling Using GPU and Transfer Functions with Application to Channel Modeling. - 1 online resource (78 pages)

Source: Masters Abstracts International, Volume: 57-01.

Thesis (M.S.)--Colorado School of Mines, 2017.

Includes bibliographical references

Next generation communication technologies aim to use broadband and/or high frequency systems for commercial communications, including utilizing mmWave frequencies and ultra-wide bands. Channel modeling at these frequencies is currently the focus of extensive measurement campaigns. Application of the Finite Difference Time Domain (FDTD) method at mmWave frequencies is suitable for modeling the broadband system, but several challenges remain between it and practical implementation.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355265965Subjects--Topical Terms:

596380
Electrical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Acceleration of Finite Difference Time Domain Modeling Using GPU and Transfer Functions with Application to Channel Modeling.
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020 $a 9780355265965
035 $a (MiAaPQ)AAI10607157
035 $a (MiAaPQ)mines:11334
035 $a AAI10607157
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Diener, Joseph Elliott. $3 1194203
245 1 0 $a Acceleration of Finite Difference Time Domain Modeling Using GPU and Transfer Functions with Application to Channel Modeling.
264 0 $c 2017
300 $a 1 online resource (78 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 57-01.
500 $a Adviser: Atef Z. Elsherbeni.
502 $a Thesis (M.S.)--Colorado School of Mines, 2017.
504 $a Includes bibliographical references
520 $a Next generation communication technologies aim to use broadband and/or high frequency systems for commercial communications, including utilizing mmWave frequencies and ultra-wide bands. Channel modeling at these frequencies is currently the focus of extensive measurement campaigns. Application of the Finite Difference Time Domain (FDTD) method at mmWave frequencies is suitable for modeling the broadband system, but several challenges remain between it and practical implementation.
520 $a This thesis shows practical, simple GPU implementations suitable for FDTD modeling using MATLAB for accelerating large problems, such as those found at mmWave frequencies. Additionally, it's shown that transfer functions can be utilized within the FDTD method to allow for simulation of arbitrary length signals within ordinary simulation times, that can achieve better than -30dB of error between transfer function and direct simulation approaches.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Electrical engineering. $3 596380
655 7 $a Electronic books. $2 local $3 554714
690 $a 0544
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Colorado School of Mines. $b Electrical Engineering and Computer Sciences. $3 1186911
773 0 $t Masters Abstracts International $g 57-01(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10607157 $z click for full text (PQDT)

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