HIGHER-ORDER SPECTRA IN NANOPARTICLE GAS SENSORS

2004 ◽  
Vol 04 (04) ◽  
pp. L597-L603 ◽  
Author(s):  
J. M. SMULKO ◽  
J. EDERTH ◽  
L. B. KISH ◽  
P. HESZLER ◽  
C. G. GRANQVIST
Keyword(s):  
Gas Sensors ◽  
Higher Order ◽  
Gas Detection ◽  
Enhanced Sensitivity ◽  
Sensitivity And Selectivity ◽  
Contour Plots ◽  
Non Gaussian ◽  
Higher Order Spectra ◽  
Resistance Fluctuations

It has previously been shown that resistance fluctuations in resistive sensors provide enhanced sensitivity and selectivity for gas detection. We report measurements and analysis of non-Gaussian components in nanoparticle Pd z ( WO 3)1- z film gas sensors, with z being 0.01 or 0.12, in different ambients. These components can be characterized by higher-order spectra. Contour plots are given of bispectra, and plots of integrated bispectra and trispectra. The phase of the integrated higher-order spectra is analyzed as well.

scholarly journals INVESTIGATION OF SENSITIVITY AND SELECTIVITY OF MWCNT–BASED SENSOR FOR AMMONIAC GAS DETECTION AT ROOM TEMPERATURE

2012 ◽  
Vol 15 (2) ◽  
pp. 62-69
Author(s):  
Lich Quang Nguyen ◽  
Tu Cong Nguyen ◽  
Anh Tuan Ly ◽  
Thanh Phuc Tran ◽  
Pho Quoc Phan ◽  
...  
Keyword(s):  
Gas Sensors ◽  
Vapor Deposition ◽  
Room Temperature ◽  
Chemical Vapor ◽  
Gas Detection ◽  
Cvd Method ◽  
Sensor Device ◽  
Pt Electrodes ◽  
Multi Walled Carbon Nanotube ◽  
Sensitivity And Selectivity

Gas sensors based on multi-walled carbon nanotube (MWCNT) for detecting gaseous molecules of ammoniac (NH3) were developed and investigated. MWCNT film was grown directly by chemical vapor deposition (CVD) method on Pt electrodes to fabricate sensor device. The CNT based – gas sensor is shown sensitively and selectively to NH3 gas at room temperature.

Porous conducting polymer and reduced graphene oxide nanocomposites for room temperature gas detection

RSC Advances ◽  
2014 ◽  
Vol 4 (80) ◽  
pp. 42546-42553 ◽  
Author(s):  
Yajie Yang ◽  
Xiaojie Yang ◽  
Wenyao Yang ◽  
Shibin Li ◽  
Jianhua Xu ◽  
...  
Keyword(s):  
Graphene Oxide ◽  
Reduced Graphene Oxide ◽  
Conducting Polymer ◽  
Room Temperature ◽  
Gas Detection ◽  
Enhanced Sensitivity ◽  
Reduced Graphene ◽  
Sensitivity And Selectivity

Porous conducting polymer and reduced graphene oxide (GO) composites was prepared as sensing materials for enhanced sensitivity and selectivity.

scholarly journals A Review of Higher Order Statistics and Spectra in Communication Systems

2013 ◽  
pp. 31-50 ◽  
Author(s):  
M. Sanaullah
Keyword(s):  
Order Statistics ◽  
Statistical Methods ◽  
Communication Systems ◽  
Nonlinear Behavior ◽  
Higher Order ◽  
Second Order ◽  
Spectral Techniques ◽  
Detection Techniques ◽  
Non Gaussian ◽  
Higher Order Spectra

There are many statistical tools to extract information from random signals. They predominantly use first and second order statistics. However, in the presence of nonlinearity in systems, many signals cannot be analyzed adequately by second order statistical methods. For this reason, higher order statistical methods have been developed. These methods are very useful in problems where non-Gaussian, non-minimum phase, phase coupling or nonlinear behavior and robustness to additive noise are important. Detection and classification using higher order statistical and spectral techniques have been proposed for use in communication and pattern recognition. They have the potential to elicit better performance from sensors, sensor networks and channels with applications in coding, filtering and detection techniques. This paper provides an introduction to higher order spectra and reviews a number of these techniques.

A non-Gaussian phenomenological model for higher-order spectra in turbulence

1993 ◽  
Vol 178 (1-2) ◽  
pp. 138-142 ◽  
Author(s):  
Ye Zhou ◽  
Alexander A. Praskovsky ◽  
George Vahala
Keyword(s):  
Phenomenological Model ◽  
Higher Order ◽  
Non Gaussian ◽  
Higher Order Spectra
Sign in / Sign up

Export Citation Format

Share Document