Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Mert Kalfa"'
Autor:
Mert Kalfa, Sadik Yagiz Yetim, Arda Atalik, Mehmetcan Gok, Yiqun Ge, Rong Li, Wen Tong, Tolga M. Duman, Orhan Arikan
Semantic signal processing and communications are poised to play a central part in developing the next generation of sensor devices and networks. A crucial component of a semantic system is the extraction of semantic signals from the raw input signal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ead6200a52d084263d2cba5ff0b1066a
http://arxiv.org/abs/2211.05440
http://arxiv.org/abs/2211.05440
Publikováno v:
IEEE Transactions on Signal Processing
Advances in compressed sensing (CS) theory have brought new perspectives to encoding and decoding of signals with sparse representations. The encoding strategies are determined by measurement matrices whose design is a critical aspect of the CS appli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::770af83ebb9df8576cbc75c6c26dcedd
https://hdl.handle.net/11693/111455
https://hdl.handle.net/11693/111455
Publikováno v:
IEEE Transactions on Antennas and Propagation
IEEEThe current state-of-the-art error control of Multilevel Fast Multipole Algorithm (MLFMA) is valid for any given error threshold at any frequency, but it requires a multiple-precision arithmetic framework to be implemented. In this work, we use a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89f0f3cb6c533abb66544aff9645fc75
https://hdl.handle.net/11693/76833
https://hdl.handle.net/11693/76833
Publikováno v:
2020 28th European Signal Processing Conference (EUSIPCO)
EUSIPCO
EUSIPCO
Conference Name: 28th European Signal Processing Conference (EUSIPCO 2020) IEEE Conference Date: 18-21 Jan. 2021 Design of measurement matrices is an important aspect of compressed sensing (CS) based direction of arrival (DoA) applications that enabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44cbed316e9c4d5cb51b01f357ac8aa4
https://hdl.handle.net/11693/77728
https://hdl.handle.net/11693/77728
Autor:
Mert Kalfa, Muhammet Umut Bahceci
Publikováno v:
2020 28th Signal Processing and Communications Applications Conference (SIU).
Publikováno v:
SIU
Sensing matrix design is an important aspect that affects the performance of the compressive sensing based reconstruction algorithms. In this paper, we present a novel adaptive sensing matrix design methodology for direction of arrival estimation sys
Publikováno v:
SIU
The signals in the direction-of-arrival (DOA) estimation problems lie in a relatively few dimensional manifold in their ambient space. Therefore, compressed sensing techniques enable reliable estimations. Furthermore, using sequential Monte Carlo met
Publikováno v:
2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium).
Compressive sensing (CS) techniques are able to decrease hardware complexity in various applications including direction of arrival (DoA) estimation using antenna arrays. In CS based DoA estimation systems, analog outputs of the antenna elements are
Publikováno v:
IEEE Transactions on Antennas and Propagation
We introduce and demonstrate a new error control scheme for the computation of far-zone interactions in the multilevel fast multipole algorithm when implemented within a multiple-precision arithmetic framework. The proposed scheme provides the optimu
Publikováno v:
Digital Signal Processing
Advances in machine learning technology have enabled real-time extraction of semantic information in signals which can revolutionize signal processing techniques and improve their performance significantly for the next generation of applications. Wit