000 | 01067nam a22002057a 4500 | ||
---|---|---|---|
003 | OSt | ||
005 | 20220925143513.0 | ||
008 | 180812b xxu||||| |||| 00| 0 eng d | ||
040 | _cMSA | ||
082 | _aGP 132 MCOM 2017 | ||
100 | _aHader Ali | ||
245 |
_aDiabetes Awareness Campaign _cDR\ Shreen Moody |
||
260 |
_aGiza : _bMSA, _c2017 |
||
300 | _a231 p. | ||
440 | _aMass communication DISTINGUISHED PROJECTS 2017 | ||
500 | _aFaculty of Mass communication | ||
520 | _aDirection 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. | ||
700 | _aHayde Walied | ||
942 |
_2ddc _cD.GP |
||
999 |
_c25937 _d25937 |