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Acceleration of Finite Difference Ti...
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Colorado School of Mines.
Acceleration of Finite Difference Time Domain Modeling Using GPU and Transfer Functions with Application to Channel Modeling.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Acceleration of Finite Difference Time Domain Modeling Using GPU and Transfer Functions with Application to Channel Modeling./
作者:
Diener, Joseph Elliott.
面頁冊數:
1 online resource (78 pages)
附註:
Source: Masters Abstracts International, Volume: 57-01.
Contained By:
Masters Abstracts International57-01(E).
標題:
Electrical engineering. -
電子資源:
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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Includes bibliographical references
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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.
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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.
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click for full text (PQDT)
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