GB/T 3660-1983 Uniform weighted network for measuring continuous random noise in video
time:
2024-08-10 21:14:05
- GB/T 3660-1983
- in force
Standard ID:
GB/T 3660-1983
Standard Name:
Uniform weighted network for measuring continuous random noise in video
Chinese Name:
测量视频连续随机杂波用的统一加权网络
Standard category:
National Standard (GB)
-
Date of Release:
1983-05-05 -
Date of Implementation:
1984-03-01
Standard ICS number:
Telecommunications, audio and video technology >> 33.160 Audio, video and audiovisual engineeringChina Standard Classification Number:
Communications, Broadcasting>>Broadcasting, Television Equipment>>M70 Broadcasting, Television Equipment Comprehensive
Release date:
1983-05-05Review date:
2004-10-14Drafter:
Li TiDrafting Organization:
Broadcasting Research InstituteFocal point Organization:
National Radio and Television Standardization Technical CommitteeProposing Organization:
Radio and Television DepartmentPublishing Department:
National Bureau of StandardsCompetent Authority:
State Administration of Radio, Film and Television
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Summary:
The unified weighted network established in this standard is suitable for the measurement of continuous random noise in video systems. GB/T 3660-1983 Unified weighted network for measuring continuous random noise in video GB/T3660-1983 standard download decompression password: www.bzxz.net
Some standard content:
National Standard of the People's Republic of China
GB/T3660—1983
Unified weighting network for measuringvideo continuous random noise
Unified weighting network for measuringvideo continuous random noisePublished on 1983-05-05
National Bureau of Standardsbzxz.net
Implementation on 1984-03-01
National Standard of the People's Republic of China
Unified weighting network for measuringvideo continuous random noiseThe unified weighting network formulated in this standard is applicable to the measurement of continuous random noise in video systems. 1 Definition of uniform weighted network
UDC621.397
.74621
.397.23
GB/T3660—1983
The uniform weighted network is designed to simulate the characteristic that the subjective feeling of human eyes to random clutter varies with frequency. It can make the measurement result close to the actual average visual effect.
Structure of unified weighted network
The structure of unified weighted network is shown in Figure 1: 755
3 Parameters of unified weighted network
Inductance: L-ZoT
Capacitance: C=
Resistance: Ri=aαZo
Regulations: Z=752
T=245ns
Specific component values are shown in Table 1
National Bureau of Standards 1983-05-05
2, = 758
Filling weighted network
Implementation 1984-03-01
4 Insertion loss A of unified weighted network
GB/T3660—1983
A=101g
At high frequency A. —→201g(1+a)=14.8dB5 Characteristics of unified weighted network
The characteristics of unified weighted network are shown in Figure 2
1+(1+
Figure 2 Characteristics of unified weighted network
6 Weighting coefficients of unified weighted network for different types of clutter The theoretical weighting coefficients of unified weighted network for different types of clutter are shown in Table 22
3266pf
Additional notes:
3660—1983
Theoretical weighting coefficient
White clutter
This standard was proposed by the Ministry of Radio and Television.
This standard was drafted by the Radio Science Research Institute of the Ministry of Radio and Television. The main drafter of this standard is Li Diao.
Triangular clutter
Tip: This standard content only shows part of the intercepted content of the complete standard. If you need the complete standard, please go to the top to download the complete standard document for free.
GB/T3660—1983
Unified weighting network for measuringvideo continuous random noise
Unified weighting network for measuringvideo continuous random noisePublished on 1983-05-05
National Bureau of Standardsbzxz.net
Implementation on 1984-03-01
National Standard of the People's Republic of China
Unified weighting network for measuringvideo continuous random noiseThe unified weighting network formulated in this standard is applicable to the measurement of continuous random noise in video systems. 1 Definition of uniform weighted network
UDC621.397
.74621
.397.23
GB/T3660—1983
The uniform weighted network is designed to simulate the characteristic that the subjective feeling of human eyes to random clutter varies with frequency. It can make the measurement result close to the actual average visual effect.
Structure of unified weighted network
The structure of unified weighted network is shown in Figure 1: 755
3 Parameters of unified weighted network
Inductance: L-ZoT
Capacitance: C=
Resistance: Ri=aαZo
Regulations: Z=752
T=245ns
Specific component values are shown in Table 1
National Bureau of Standards 1983-05-05
2, = 758
Filling weighted network
Implementation 1984-03-01
4 Insertion loss A of unified weighted network
GB/T3660—1983
A=101g
At high frequency A. —→201g(1+a)=14.8dB5 Characteristics of unified weighted network
The characteristics of unified weighted network are shown in Figure 2
1+(1+
Figure 2 Characteristics of unified weighted network
6 Weighting coefficients of unified weighted network for different types of clutter The theoretical weighting coefficients of unified weighted network for different types of clutter are shown in Table 22
3266pf
Additional notes:
3660—1983
Theoretical weighting coefficient
White clutter
This standard was proposed by the Ministry of Radio and Television.
This standard was drafted by the Radio Science Research Institute of the Ministry of Radio and Television. The main drafter of this standard is Li Diao.
Triangular clutter
Tip: This standard content only shows part of the intercepted content of the complete standard. If you need the complete standard, please go to the top to download the complete standard document for free.
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