Zobrazeno 1 - 10
of 286
pro vyhledávání: '"Ozaktas, Haldun M."'
Publikováno v:
In Digital Signal Processing October 2023 142
Publikováno v:
Natural Language Engineering, 1-26, 2020
As an ubiquitous method in natural language processing, word embeddings are extensively employed to map semantic properties of words into a dense vector representation. They capture semantic and syntactic relations among words but the vectors corresp
Externí odkaz:
http://arxiv.org/abs/1807.07279
Publikováno v:
IEEE Transactions on Signal Processing, vol. 67, no. 9, pp. 2237-2248, May 1, 2019
Linear canonical transforms (LCTs) are of importance in many areas of science and engineering with many applications. Therefore a satisfactory discrete implementation is of considerable interest. Although there are methods that link the samples of th
Externí odkaz:
http://arxiv.org/abs/1805.11416
Publikováno v:
Digital Signal Processing, Volume 108, 102904, 2021
Signal scaling is a fundamental operation of practical importance in which a signal is enlarged or shrunk in the coordinate direction(s). Scaling or magnification is not trivial for signals of a discrete variable since the signal values may not fall
Externí odkaz:
http://arxiv.org/abs/1805.03500
Autor:
Ozaktas, Haldun M., Kutay, M. Alper
Publikováno v:
In Digital Signal Processing December 2021 119
Publikováno v:
In Information Processing and Management September 2021 58(5)
Publikováno v:
In Digital Signal Processing January 2021 108
We consider the transmission of a Gaussian vector source over a multi-dimensional Gaussian channel where a random or a fixed subset of the channel outputs are erased. Within the setup where the only encoding operation allowed is a linear unitary tran
Externí odkaz:
http://arxiv.org/abs/1111.2451
Publikováno v:
In Expert Systems With Applications 1 July 2017 77:247-255
Autor:
Arık, Sercan Ö., Ozaktas, Haldun M.
Publikováno v:
In Optics Communications 1 May 2016 366:17-21