Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Navdeep Goel"'
Autor:
Navdeep Goel
Publikováno v:
Multimedia Tools and Applications. 81:32953-32979
Publikováno v:
Multimedia Tools and Applications. 79:19739-19768
In this paper, a novel and efficient algorithm, Modified Decision Based Unsymmetric Adaptive Neighborhood Trimmed Mean Filter, for removal of very high density salt and pepper noise (SPN) is proposed. The proposed technique comprises of two phases. T
Autor:
Navdeep Goel, Swimpy Pahuja
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031070112
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98aee7ebd95898d8b578d4bbcdf45c62
https://doi.org/10.1007/978-3-031-07012-9_58
https://doi.org/10.1007/978-3-031-07012-9_58
Autor:
Pulkit Aggarwal, Navdeep Goel
Publikováno v:
Iranian Journal of Science and Technology, Transactions of Electrical Engineering. 43:459-468
In this paper, a novel and effective algorithm for removing 1–99% levels of salt-and-pepper noise is proposed. The proposed algorithm comprises a two-phase scheme. The first phase involves a combination of enhanced modified decision-based unsymmetr
Autor:
Navdeep Goel, Salvador Gabarda
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
10 pags., 5 figs., 2 tabs.
In this paper, an existing approximation of discrete linear canonical transform (DLCT) is analyzed, and constraints are derived to fulfill some paramount properties as inversibility and additivity or the possibility to
In this paper, an existing approximation of discrete linear canonical transform (DLCT) is analyzed, and constraints are derived to fulfill some paramount properties as inversibility and additivity or the possibility to
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
The linear canonical transform plays an important role in engineering and many applied fields, as it is the case of optics and signal processing. In this paper, a new convolution for the linear canonical transform is proposed and a corresponding prod
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
13 pags., 7 figs., 5 tabs.
This paper shows how offset linear canonical transform (OLCT) can be handled for multiplexing chirp signals in time–frequency domain in the presence of additive white Gaussian noise (AWGN). A set of original test sig
This paper shows how offset linear canonical transform (OLCT) can be handled for multiplexing chirp signals in time–frequency domain in the presence of additive white Gaussian noise (AWGN). A set of original test sig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69823ababbd0bba61eaa18b6515cd419
http://hdl.handle.net/10261/235173
http://hdl.handle.net/10261/235173
Autor:
Navdeep Goel, Jatinder Singh
Publikováno v:
Iranian Journal of Science and Technology, Transactions of Electrical Engineering. 43:181-188
Fractional Fourier transform (FRFT) is generalization of Fourier transform. It has an adjustable parameter in the form of $$\alpha$$ rotational angle that makes it more useful in the various fields of science and engineering. In this paper, an analys
Publikováno v:
IET Signal Processing. 10:173-181
As a generalisation of fractional Fourier transform, Fresnel transform and Fourier transform, the linear canonical transform (LCT) is a four parameter class of integral transform and has been used in many fields of optics and signal processing. In th
Convolution and correlation theorems for the offset fractional Fourier transform and its application
Autor:
Navdeep Goel, Kulbir Singh
Publikováno v:
AEU - International Journal of Electronics and Communications. 70:138-150
This paper presents new convolution and correlation theorems in the OFRFT domain. The authors also discuss the design method of multiplicative filter for bandlimited signals for OFRFT by convolution in time domain based on fast Fourier transform (FFT