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Alpesh Vala

Researcher at Charotar University of Science and Technology

Publications -  35
Citations -  174

Alpesh Vala is an academic researcher from Charotar University of Science and Technology. The author has contributed to research in topics: Band-pass filter & HFSS. The author has an hindex of 6, co-authored 34 publications receiving 116 citations.

Papers
More filters
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Millimeter-wave TE01–TE11–HE11 mode converter using overmoded circular waveguide

TL;DR: In this paper, the authors presented overmoded circular waveguide mode converters (TE01 into HE11 with TE11 as an intermediate mode) used in a 42-±-0.2 GHz, 200-kW gyrotron transmission line system for plasma heatin...
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Logarithmic Slots Antennas Using Substrate Integrated Waveguide

TL;DR: In this article, the authors proposed a new generation of slotted antennas for satellite application where the loss can be compensated in terms of power or gain of antenna by creating number of rectangular, trapezoidal and I shape slots in logarithm size.
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Defected ground structure based wideband microstrip low-pass filter for wireless communication

TL;DR: Proposed low‐pass filter has been fabricated and provides better performance with compact size and can be used in wireless communication application such as PCS‐1900, UMTS, Bluetooth, WLAN, Wi‐max, IMS, and RFID etc.
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Design and performance analysis of metallic posts coupled SIW‐based multiband bandpass and bandstop filter

TL;DR: In this paper, the design of single band band pass filter, multiband bandpass filter, and multi-iband bandstop filter based on a substrate integrated waveguide technique is presented, where the effect of position of the metallic edge on the performance has been observed and analyzed.
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Automatic room information retrieval and classification from floor plan using linear regression model

TL;DR: A floor plan information retrieval algorithm based on shape extraction and room identification that is tested on the CVC-FP dataset with an average room detection accuracy of 85.71% and room recognition accuracy of 88%.