SigCov is not a single measurement but a determination based on several key performance indicators (KPIs). To declare an area "covered," engineers typically analyze:
In the context of the General Notability Guideline (GNG) , SIGCOV is the "engine" that powers an article's existence. Editors use it to filter out subjects that lack a secondary historical or cultural record. The requirement ensures that:
In organizations like the ACM, SIGs represent focused research communities (e.g., SIGSOFT for software engineering).
[ \text{Sigcov} = \int_X C(x) \cdot f(S(x)) , dx ] where ( f ) maps signal quality to a [0,1] utility (e.g., a logistic function of SINR or inverse variance). For discrete samples, sigcov could be the sum of weights over covered points where the signal exceeds a threshold.
Sigcov might be defined as: [ \text{Sigcov} = \frac{\text{Effective information content}}{\text{Maximum possible information given full coverage}} ] In practice, this could combine:
SigCov is not a single measurement but a determination based on several key performance indicators (KPIs). To declare an area "covered," engineers typically analyze:
In the context of the General Notability Guideline (GNG) , SIGCOV is the "engine" that powers an article's existence. Editors use it to filter out subjects that lack a secondary historical or cultural record. The requirement ensures that: sigcov
In organizations like the ACM, SIGs represent focused research communities (e.g., SIGSOFT for software engineering). SigCov is not a single measurement but a
[ \text{Sigcov} = \int_X C(x) \cdot f(S(x)) , dx ] where ( f ) maps signal quality to a [0,1] utility (e.g., a logistic function of SINR or inverse variance). For discrete samples, sigcov could be the sum of weights over covered points where the signal exceeds a threshold. The requirement ensures that: In organizations like the
Sigcov might be defined as: [ \text{Sigcov} = \frac{\text{Effective information content}}{\text{Maximum possible information given full coverage}} ] In practice, this could combine:
