Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Soydan Redif"'
Publikováno v:
IEEE Internet of Things Journal
We propose a new methodology to attain invariance to the positioning of body-worn motion-sensor units for recognizing everyday and sports activities. We first consider random interchangeability of the sensor units so that the user does not need to di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ec1c674d35f689ed063c8f6c349c11c
https://doi.org/10.1109/jiot.2020.3044754
https://doi.org/10.1109/jiot.2020.3044754
Publikováno v:
IEEE Transactions on Signal Processing. 69:948-959
In this paper, we propose a generalized singular value decomposition (GSVD) for polynomial matrices, or polynomial GSVD (PGSVD). We then consider PGSVD-based beamforming for two-user, frequency-selective, multiple-input multiple-output (MIMO) multica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb8265de0ca4d249df67e128a1c09d00
https://doi.org/10.1109/tsp.2021.3052040
https://doi.org/10.1109/tsp.2021.3052040
Autor:
Soydan Redif, Manuel Carcenac
Publikováno v:
Computational Statistics. 35:579-605
This paper introduces an adaptation of the sequential matrix diagonalization (SMD) method to high-dimensional functional magnetic resonance imaging (fMRI) data. SMD is currently the most efficient statistical method to perform polynomial eigenvalue d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::841171fb7d05e8cf79044bea87af824b
https://doi.org/10.1007/s00180-019-00925-8
https://doi.org/10.1007/s00180-019-00925-8
Autor:
Soydan Redif, Server Kasap
Publikováno v:
Circuits, Systems, and Signal Processing. 38:5755-5785
Polynomial matrix computations, such as polynomial matrix multiplication (PMM) and eigenvalue factorization of parahermitian matrices, have played an important role in a growing number of applications, in recent times. However, the computational comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fe4b5f348a48d6af5db1eb436c3adf2
https://doi.org/10.1007/s00034-019-01150-w
https://doi.org/10.1007/s00034-019-01150-w
Autor:
Ferhun Yorgancioğlu, Soydan Redif
Publikováno v:
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 27:1922-1937
In this paper, a fast form of nonsingular, terminal, decoupled, sliding-mode control, which utilizes time-varying sliding surfaces, is proposed for a class of fourth-order, single-input, multioutput, nonlinear systems. The novel control law features
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::170ad367eac906898a17ca1a7f274e53
https://doi.org/10.3906/elk-1805-75
https://doi.org/10.3906/elk-1805-75
Publikováno v:
IET Signal Processing. 13:356-366
The authors propose a semi-blind channel estimation (semi-BCE) and precoding/decoding technique for frequency selective (FS) multiple-input multiple-output (MIMO) channels. A FS MIMO channel can be represented using a matrix whose elements are polyno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fe807590f76d0787ba345da2d646397
https://doi.org/10.1049/iet-spr.2018.5401
https://doi.org/10.1049/iet-spr.2018.5401
Publikováno v:
Articles
The dynamic voltage restorer (DVR) is mainly used in a utility grid to protect sensitive loads from power quality problems, such as voltage sags and swells. However, the effectiveness of the DVR can wane under unbalanced grid voltage conditions. Rece
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65a3606f91c3987e63db2354ce7f7462
https://doi.org/10.1007/s00202-017-0666-4
https://doi.org/10.1007/s00202-017-0666-4
Publikováno v:
SoCC
In this paper, we propose a second-generation hardware solution which boasts more versatility, efficiency and scalability compared to our previous design. This is achieved through the design of a highly versatile PMM accelerator which supports polyno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75c5f386cdfb1385795f61583f53febd
https://doi.org/10.1109/socc46988.2019.1570555424
https://doi.org/10.1109/socc46988.2019.1570555424
Publikováno v:
ICASSP
One approach to blind source separation of instantaneously mixed, non-stationary sources involves using the generalized eigenvalue decomposition of two estimated covariance matrices. The assumption is that the source statistics change with time whils
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c444c8cb775ac41dfb2fdbf8c31be017
https://doi.org/10.1109/icassp.2019.8683237
https://doi.org/10.1109/icassp.2019.8683237
Publikováno v:
The Journal of Supercomputing. 73:3603-3634
This paper presents the parallelization on a GPU of the sequential matrix diagonalization (SMD) algorithm, a method for diagonalizing polynomial covariance matrices, which is the most recent technique for polynomial eigenvalue decomposition. We first
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9aed8ee982ad6dca3f2300f72e531c12
https://doi.org/10.1007/s11227-017-1961-6
https://doi.org/10.1007/s11227-017-1961-6