Anomaly Detection and Flagging using CCTV and Nerual Networks / DR\ Samer Ibrahim
Material type:
TextSeries: ENGINEERING DISTINGUISHED PROJECTS 2022Publication details: Giza : MSA, 2022.Description: 68 PSubject(s): Online resources: Summary: Direction of Arrival has been one of the most active fields for the past decades,
due to the increase of its usage in many fields in communication and networks, studies
and research have been conducted to utilize its hardware complexity. Some compressive
techniques were used to help in the desired outcome for the Directional of Arrival (DoA),
namely the Compressive sensing (CS) technique. This paper proposes a CS based DoA
using the Antenna array under the name of Compressive Arrays for Direction of Arrival
Estimation.
| Item type | Current library | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|
Distinguished Graduation Projects
|
Centeral Library Second Floor - Engineering & Architecture | GP 16 ENG 2022 Computer system (Browse shelf(Opens below)) | Available | 82337 |
Faculty of Engineering - Department of Computer Systems Engineering
Direction of Arrival has been one of the most active fields for the past decades,
due to the increase of its usage in many fields in communication and networks, studies
and research have been conducted to utilize its hardware complexity. Some compressive
techniques were used to help in the desired outcome for the Directional of Arrival (DoA),
namely the Compressive sensing (CS) technique. This paper proposes a CS based DoA
using the Antenna array under the name of Compressive Arrays for Direction of Arrival
Estimation.
There are no comments on this title.
Click on an image to view it in the image viewer