Sound quality characteristics of refrigerator noise in real living environments with relation to psychoacoustical and autocorrelation function parameters

2007 ◽  
Vol 122 (1) ◽  
pp. 314-325 ◽  
Author(s):  
Shin-ichi Sato ◽  
Jin You ◽  
Jin Yong Jeon
Keyword(s):  
Autocorrelation Function ◽  
Sound Quality ◽  
Quality Characteristics ◽  
Living Environments

Sound radiation and sound quality characteristics of refrigerator noise in real living environments

2007 ◽  
Vol 68 (10) ◽  
pp. 1118-1134 ◽  
Author(s):  
Jin Yong Jeon ◽  
Jin You ◽  
Ho Yeon Chang
Keyword(s):  
Sound Radiation ◽  
Sound Quality ◽  
Quality Characteristics ◽  
Living Environments

The Correlation Research of Insects Song Sound Quality and Nano-Mechanical Characteristics

2013 ◽  
Vol 423-426 ◽  
pp. 1794-1797 ◽  
Author(s):  
Jun Xie ◽  
Zhi Yong Chang ◽  
Hong Wei Wang ◽  
Jie Liang
Keyword(s):  
Elastic Modulus ◽  
Correlation Analysis ◽  
Correlation Coefficient ◽  
Quality Evaluation ◽  
Mechanical Characteristics ◽  
Sound Quality ◽  
Quality Characteristics ◽  
Average Correlation ◽  
Nanomechanical Properties ◽  
Friction Sound

The paper proposed a nanomechanical measurements method according to insect parts biometric friction sound, the nanomechanical measurements were carried out on the cricket and grasshoppers wings, meanwhile, two common insects song signal were collected and the sound quality evaluation parameter vectors were constructed from it. The correlation analysis calculations were made between the nanomechanical properties parameters and the sound quality evaluation parameter vectors. The results show that the nanomechanical properties of biological materials have relevance with the sound quality characteristics, and the average correlation coefficient of the cricket is better, the crickets elastic modulus correlation coefficient with loudness were with the highest average correlation coefficient.

scholarly journals Sound Quality Characteristics of the Cicada Singing Noise in Urban Areas

2012 ◽  
Vol 22 (9) ◽  
pp. 825-829 ◽  
Author(s):  
Jin-Hoi Gu ◽  
Jae-Won Lee ◽  
Woo-Seok Lee ◽  
Kyung-Hee Choi ◽  
Chung-Youl Seo ◽  
...  
Keyword(s):  
Urban Areas ◽  
Sound Quality ◽  
Quality Characteristics

Sound quality characteristics for transient noise of high speed railway interior

2011 ◽  
Vol 130 (4) ◽  
pp. 2565-2565
Author(s):  
Buhm Park ◽  
Sinyeob Lee ◽  
Sunghoon Choi ◽  
Junhong Park
Keyword(s):  
High Speed ◽  
Sound Quality ◽  
Quality Characteristics ◽  
High Speed Railway

Radiation properties and sound quality characteristics of refrigerator noise

2005 ◽  
Vol 118 (3) ◽  
pp. 1921-1921
Author(s):  
Jin Yong Jeon ◽  
Jeong Ho Jeong ◽  
Jin You
Keyword(s):  
Sound Quality ◽  
Quality Characteristics ◽  
Radiation Properties

Log-log scale roughness spectroscopy of surfaces

1993 ◽  
Vol 51 ◽  
pp. 224-225
Author(s):  
P. Fraundorf ◽  
B. Armbruster
Keyword(s):  
Power Spectrum ◽  
Autocorrelation Function ◽  
Power Spectra ◽  
Scanning Force Microscopy ◽  
Scanning Tunneling ◽  
Tunneling Microscopy ◽  
Force Microscopy ◽  
Scanning Force ◽  
Lateral Structure ◽  
Scale Roughness

Optical interferometry, confocal light microscopy, stereopair scanning electron microscopy, scanning tunneling microscopy, and scanning force microscopy, can produce topographic images of surfaces on size scales reaching from centimeters to Angstroms. Second moment (height variance) statistics of surface topography can be very helpful in quantifying “visually suggested” differences from one surface to the next. The two most common methods for displaying this information are the Fourier power spectrum and its direct space transform, the autocorrelation function or interferogram. Unfortunately, for a surface exhibiting lateral structure over several orders of magnitude in size, both the power spectrum and the autocorrelation function will find most of the information they contain pressed into the plot’s origin. This suggests that we plot power in units of LOG(frequency)≡-LOG(period), but rather than add this logarithmic constraint as another element of abstraction to the analysis of power spectra, we further recommend a shift in paradigm.

Sign in / Sign up

Export Citation Format

Share Document