Zobrazeno 1 - 7
of 7
pro vyhledávání: '"K. G., DEEPA"'
Publikováno v:
Journal of Materials Science: Materials in Electronics. 31:13578-13587
Zinc oxide microflower thin films were deposited in a single-step process using cost-effective ultrasonic spray pyrolysis technique. Different molarity of precursor solution was used to grow the films. X-ray diffraction and Raman spectroscopy reveal
Autor:
K G Deepa, Ho Soonmin, Ramkumar Chandran, Mohammad Arif Sobhan Bhuiyan, Archana Mallik, Sreekanth Mandati
Publikováno v:
Oriental Journal of Chemistry. 35:01-07
Preparation and characterization of thin films have been reported by many researchers. Research of nanostructured thin films has recently received great attention due to their specific properties. The films obtained can be used for the development of
Publikováno v:
Sādhanā. 41:1275-1287
We consider the recovery of sparse signals that share a common support from multiple measurement vectors. The performance of several algorithms developed for this task depends on parameters like dimension of the sparse signal, dimension of measuremen
Publikováno v:
AIP Conference Proceedings.
SnS thin films were prepared using chemical spray pyrolysis (CSP) technique. p-type SnS films with direct band gap of 1.33 eV and having very high absorption coefficient were obtained with the optimized deposition conditions. In this paper we focus o
Publikováno v:
ICASSP
We consider the recovery of sparse signals that share a common support from multiple measurement vectors. The performance of several algorithms developed for this task depends on parameters like dimension of the sparse signal, dimension of measuremen
Autor:
SOONMIN, HO, MANDATI, SREEKANTH, CHANDRAN, RAMKUMAR, MALLIK, ARCHANA, BHUIYAN, MOHAMMAD ARIF SOBHAN, K. G., DEEPA
Publikováno v:
Oriental Journal of Chemistry; 2019, Vol. 35 Issue 1, p1-13, 13p
Publikováno v:
NCC
Compressive Sensing (CS) theory combines the signal sampling and compression for sparse signals resulting in reduction in sampling rate. In recent years, many recovery algorithms have been proposed to reconstruct the signal efficiently. Subspace Purs