Sivasubramanyam Medasani

K.S. School of Engineering and Management | KSGI · Department of Computer Science & Engineering

The present communication presents a novel compact microstrip line feed dual‐band four‐element MIMO (multiple input multiple output) antenna for 5G sub‐6GHz N79 and WiFi‐6E bands with a defined size of 48 × 48 × 1.6 mm³. The FR4 substrate used in the construction of the designated antenna has a thickness of 1.6 mm, a relative permittivity of 4.4, a...

This paper presents miniaturized industrial, scientific, and medical (ISM) band implantable antennas for wireless biomedical applications such as leadless pacemaker systems. The proposed single and dual-band antennas are proposed with a folded-shaped radiator and open-ended slot in the ground. The folded-shaped radiator is used to miniaturize the a...

A new miniatured quad-element multiple-input multiple-output (MIMO) antenna is suggested for operating at 26.5 GHz and 47 GHz 5G millimeter-wave (mm-wave) applications. The antenna of size 11.6 mm × 12 mm × 0.508 mm is printed on Rogers RT/duroid 5880 (tm) dielectric material. The recommended antenna has a slotted ground at the bottom and four U-sh...

Decomposition and classification are vital processing stages in polarimetric synthetic aperture radar (PolSAR) information processing. Speckle noise affects SAR data since backscattered signals from various targets are coherently integrated. Current study investigated the impact of speckle suppression on the target decomposition and classification...

Decomposition and classification are crucial steps in the PolSAR (polarimetric synthetic aperture radar) data processing. Speckle noise influences synthetic aperture radar data because of the coherent integration of back scattered signals from various targets. This study examined the influence of speckle noise filtering on the classification and de...

Speckle noise, a granular noise, occurs in synthetic aperture radar (SAR) data due to the interference of reflected signals with several scatterers in a resolution cell. One of the simplest techniques to suppress speckle noise from polarimetric SAR data is to use local statistics. The Lee filter employs sample mean and variance of pixels of data de...

Synthetic Aperture Radar (SAR) data are affected by speckle noise, because of coherent integration of back scattered signals from different targets. For one-dimensional SAR data the speckle noise is already a solved problem, due to its multiplicative nature. SAR polarimetry is an extension to multidimensional data by the use of polarization wave di...

The data of Synthetic Aperture Radar (SAR) is affected by speckle noise due to the coherent integration of back scattered signals from different targets. The speckle filter of any kind has to suppress the speckle noise while preserving the polarimetric and the spatial information. Speckle filtering of Polarimetric Synthetic Aperture Radar (POLSAR)...

Synthetic Aperture Radar (SAR) data are affected by speckle noise, because of coherent integration of back scattered signals from different targets. For one-dimensional SAR data the speckle noise is already a solved problem, due to its multiplicative nature. SAR polarimetry is an extension to multidimensional data by the use of polarization wave di...

To extract information from remotely sensed images for wide range of applications, visual analysis and interpretation are required. In this paper, the denoising of remotely sensed images based on Fast Discrete Curvelet Transform (FDCT) has been proposed. The Fast Discrete Curvelet Transform via Wrapping(WRAP) and Unequally-Spaced Fast Fourier Trans...