Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Linked to FindBook
Google Book
Amazon
博客來
mmWave Based Signal Simulation in Context of Human Sensing.
Record Type:
Electronic resources : Monograph/item
Title/Author:
mmWave Based Signal Simulation in Context of Human Sensing./
Author:
Zhang, Jianping.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2022,
Description:
30 p.
Notes:
Source: Masters Abstracts International, Volume: 83-09.
Contained By:
Masters Abstracts International83-09.
Subject:
Computer science. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28963566
ISBN:
9798790655005
mmWave Based Signal Simulation in Context of Human Sensing.
Zhang, Jianping.
mmWave Based Signal Simulation in Context of Human Sensing.
- Ann Arbor : ProQuest Dissertations & Theses, 2022 - 30 p.
Source: Masters Abstracts International, Volume: 83-09.
Thesis (M.S.)--State University of New York at Buffalo, 2022.
This item must not be sold to any third party vendors.
Millimeter wave (mmWave) is a special class of radar technology that uses short- wavelength electromagnetic waves. Radar systems transmit electromagnetic wave signals that objects in their path then reflect. By capturing the reflected signal, a radar system can determine the range, velocity and angle of the objects.In this research, we want to find the possibility of utilizing it to achieve the goal of signal simulation in the context of human sensing. To achieve this, we collect the mmWave signals reflected from the person's body while doing different activities, and then mathematically model it and apply analysis techniques to generate a spectrogram, which captures the attributes of these activities. More specifically, we use a deep learning model to simulate human mesh and then we are able to use some physical equation to further process data. With all of the above steps, it is possible to further simulate the signal of human activities.
ISBN: 9798790655005Subjects--Topical Terms:
523869
Computer science.
Subjects--Index Terms:
Millimeter wave
mmWave Based Signal Simulation in Context of Human Sensing.
LDR
:01969nmm a2200325 4500
001
2348662
005
20220912135629.5
008
241004s2022 ||||||||||||||||| ||eng d
020
$a
9798790655005
035
$a
(MiAaPQ)AAI28963566
035
$a
AAI28963566
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Zhang, Jianping.
$3
1271336
245
1 0
$a
mmWave Based Signal Simulation in Context of Human Sensing.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2022
300
$a
30 p.
500
$a
Source: Masters Abstracts International, Volume: 83-09.
500
$a
Advisor: Su, Lu.
502
$a
Thesis (M.S.)--State University of New York at Buffalo, 2022.
506
$a
This item must not be sold to any third party vendors.
520
$a
Millimeter wave (mmWave) is a special class of radar technology that uses short- wavelength electromagnetic waves. Radar systems transmit electromagnetic wave signals that objects in their path then reflect. By capturing the reflected signal, a radar system can determine the range, velocity and angle of the objects.In this research, we want to find the possibility of utilizing it to achieve the goal of signal simulation in the context of human sensing. To achieve this, we collect the mmWave signals reflected from the person's body while doing different activities, and then mathematically model it and apply analysis techniques to generate a spectrogram, which captures the attributes of these activities. More specifically, we use a deep learning model to simulate human mesh and then we are able to use some physical equation to further process data. With all of the above steps, it is possible to further simulate the signal of human activities.
590
$a
School code: 0656.
650
4
$a
Computer science.
$3
523869
653
$a
Millimeter wave
653
$a
Signal simulation
653
$a
Human sensing
690
$a
0984
710
2
$a
State University of New York at Buffalo.
$b
Computer Science and Engineering.
$3
1035503
773
0
$t
Masters Abstracts International
$g
83-09.
790
$a
0656
791
$a
M.S.
792
$a
2022
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28963566
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9471100
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login