2015
DOI: 10.1007/s12221-015-1410-1
|View full text |Cite
|
Sign up to set email alerts
|

Comparison between fabric frictional sound parameters and wearers’ subjective auditory sensibility of PCM-treated combat uniforms

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
1
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 3 publications
0
1
0
Order By: Relevance
“…Thus, some scholars have built sound parameters upon a fast Fourier transform (FFT), studied the relation between the fabric frictional signal and its mechanical properties that are acquired with the Kawabata Evaluation System, and predicted certain mechanical properties according to the sound characteristics 6 or vice versa. 7 With sound parameters extracted from FFT, researchers have also investigated various types of fibers, 8 cross-sectional shapes, 9 yarn structures, weave structures, 10 and mechanical velocities 11 for their effects on frictional signals, studied the relationship between frictional signals and subject perceptions from questionnaire survey 12 or Zwicker's psychoacoustic models, 13 and clustered the signals by autoregression. 14 However, the Fourier spectrum has its drawbacks as it can only reflect frequency information, ignoring phase data.…”
mentioning
confidence: 99%
“…Thus, some scholars have built sound parameters upon a fast Fourier transform (FFT), studied the relation between the fabric frictional signal and its mechanical properties that are acquired with the Kawabata Evaluation System, and predicted certain mechanical properties according to the sound characteristics 6 or vice versa. 7 With sound parameters extracted from FFT, researchers have also investigated various types of fibers, 8 cross-sectional shapes, 9 yarn structures, weave structures, 10 and mechanical velocities 11 for their effects on frictional signals, studied the relationship between frictional signals and subject perceptions from questionnaire survey 12 or Zwicker's psychoacoustic models, 13 and clustered the signals by autoregression. 14 However, the Fourier spectrum has its drawbacks as it can only reflect frequency information, ignoring phase data.…”
mentioning
confidence: 99%