Zobrazeno 1 - 10
of 30
pro vyhledávání: '"N. Srikanta"'
Publikováno v:
Algorithms for Intelligent Systems ISBN: 9789811657467
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d96a71820da3bcc49aab34867c5dcbfd
https://doi.org/10.1007/978-981-16-5747-4_15
https://doi.org/10.1007/978-981-16-5747-4_15
Autor:
M. Pachiyannan, N. Srikanta
Publikováno v:
2019 IEEE Indian Conference on Antennas and Propogation (InCAP).
A Wideband Dual Frequency CPW feed rectangular patch antenna has been designed for the C, X and Ku band applications with an operating frequency range of 3.9GHz to 7.2GHz covering 3.3GHz of bandwidth and 11.2GHz to 13.1GHz covering 1.9GHz of bandwidt
Autor:
Mohammad Imroz Khan, N. Srikanta
Publikováno v:
2018 15th International Conference on ElectroMagnetic Interference & Compatibility (INCEMIC).
An ultra wideband slot antenna using coplanar waveguide (CPW) feed is proposed in this letter. The antenna consists of a hexagonal shaped ground slot and a rectangular radiating patch. Hexagonal ground plane provides a gradual variation in slot imped
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Publikováno v:
International Journal of Advanced Intelligence Paradigms. 16:324
Noise is the undesired signal which affects the desired signal. This noise has been a serious problem which is affecting the signals during transmission of information. In this project, two different noisy signals are considered they are speech signa
Publikováno v:
Indian Journal of Anaesthesia, Vol 46, Iss 6, Pp 473-473 (2002)
Externí odkaz:
https://doaj.org/article/178d7c89496b464c871bf9e993a03326
Publikováno v:
International Journal of Networking and Virtual Organisations. 21:259
In the present day scenario, industrial automation is the most prominent and very common phenomena. Normally, to establish communication among different modules, in industrial applications controlled area network (CAN) protocol is very popular. As th
Publikováno v:
2014 International Conference on Electronics and Communication Systems (ICECS).
Publikováno v:
International Journal of Remote Sensing. 21:3239-3251
An efficient nonparametric, hierarchical, symbolic agglomerative clustering procedure based on the mutual nearest neighbourhood concept is proposed for classifying remotely sensed multispectral data. The procedure utilized a data reduction technique
Publikováno v:
Soft Computing for Image Processing ISBN: 9783790824681
Image processing applications involving large volume of observations, such as remote sensing applications with multispectral image products, warrant large memory and computational time. Many alternate approaches have been tried. we have found that a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc19eb940deed39834ef3493baaafcec
https://doi.org/10.1007/978-3-7908-1858-1_16
https://doi.org/10.1007/978-3-7908-1858-1_16