Specifications
emitter at the same experimental condition. © 1995-2012 IEEE.
Number of references: 21
Main heading: Signal to noise ratio
Controlled terms: Antennas - Electrooptical effects - Gallium arsenide - Ion
implantation - Microwave antennas - Semiconducting gallium
Uncontrolled terms: Electromagnetic noise - Experimental conditions - GaAs -
Implantation technique - Noise analysis - Noise spectra - Photoconductive antennas
- Photoconductive emitters - SI-GaAs - Signaltonoise ratio (SNR) - Tera Hertz -
THz generation
Classification code: 712.1 Semiconducting Materials - 712.1.1 Single Element
Semiconducting Materials - 716 Telecommunication; Radar, Radio and Television - 716.1
Information Theory and Signal Processing - 741.1 Light/Optics - 804 Chemical Products
Generally
DOI: 10.1109/JSTQE.2012.2188781
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
5.
Accession number: 20130616005424
Title: An innovative approaches to key characteristic parameter transform of product
Authors: Ji, Xiaomin1 ; He, Xuemei1, 2/吉晓民;
Author affiliation:
1 School of Mechanical Instrumental Engineering, Xi'an University of Technology, Xi'an 710048,
Shaanxi, China
2 College of Art and Design, Shaanxi University of Science and Technology, Xi'an 710021,
Shaanxi, China
Corresponding author: Ji, X.
Source title: International Review on Computers and Software
Abbreviated source title: Int. Rev. Comput. Softw.
Volume: 7
Issue: 5
Issue date: September 2012
Publication year: 2012
Pages: 2431-2434
Language: English
ISSN: 18286003
E-ISSN: 18286011
Document type: Journal article (JA)
Publisher: Praise Worthy Prize Inch, 2959 Ruth Rd.Wantag, New York, 11793-1055,
United States
Abstract: In this paper, according to the systematic design ideas, innovative theory and
methods of "the key characteristic of parameter transformation" is inventively put forward, and
the design principles and essence of the key characteristic parameters transformation of the
product are mainly illustrated. Based on in-depth analysis of consumers' requirement, the
importance degree of consumer demand is determined by applying to rough set theory, and then