Search Results for author: S. Sharma

Found 5 papers, 1 papers with code

Reconfigurable Architecture for Spatial Sensing in Wideband Radio Front-End

no code implementations26 May 2021 M. Gupta, S. Sharma, H. Joshi, S. J. Darak

We propose a reconfigurable architecture to perform spatial sensing of multi-band spectrum digitized via wideband radio front-end comprising of the sparse antenna array (SAA) and Sub-Nyquist Sampling (SNS).

An investigation of type-I superconductivity in single crystal of Pb2Pd

no code implementations11 Mar 2021 Arushi, K. Motla, A. Kataria, S. Sharma, J. Beare, M. Pula, M. Nugent, G. M. Luke, R. P. Singh

We have investigated the superconducting properties in a single crystal of a new superconductor Pb$_{2}$Pd via various techniques including magnetization, AC transport, transverse field muon spin rotation and relaxation (TF-$\mu$SR), and heat capacity.

Superconductivity

Fully gapped superconductivity in centrosymmetric and non-centrosymmetric Re-B compounds probed with $μ$SR

no code implementations26 Nov 2020 S. Sharma, Arushi, K. Motla, J. Beare, M. Nugent, M. Pula, T. J. Munsie, A. D. Hillier, R. P. Singh, G. M. Luke

We present a comprehensive study on superconducting properties of Re$_7$B$_3$ and Re$_3$B through specific heat, magnetic susceptibility, resistivity, and transverse and zero-field muon spin rotation/relaxation ($\mu$SR) experiments on polycrystalline samples.

Superconductivity

Stingray: A Modern Python Library For Spectral Timing

2 code implementations23 Jan 2019 D. Huppenkothen, M. Bachetti, A. L. Stevens, S. Migliari, P. Balm, O. Hammad, U. M. Khan, H. Mishra, H. Rashid, S. Sharma, R. V. Blanco, E. M. Ribeiro

This paper describes the design and implementation of stingray, a library in Python built to perform time series analysis and related tasks on astronomical light curves.

Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena

Stacked Autoencoders for Medical Image Search

no code implementations2 Oct 2016 S. Sharma, I. Umar, L. Ospina, D. Wong, H. R. Tizhoosh

The technique is applied to the IRMA dataset, a collection of 14, 410 x-ray images in order to demonstrate the ability of autoencoders to retrieve similar x-rays given test queries.

Content-Based Image Retrieval Medical Diagnosis +1

Cannot find the paper you are looking for? You can Submit a new open access paper.