Evaluating experimentally accumulation of combined noise annoyance

Liang Yan, Ke'an Chen, Jie Wang

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Aim. To our knowledge, there does not exist any paper in the open literature on experimental evaluation. Subsection 1.1 of the full paper briefs three classical models: (1) strongest component, (2) vector summation, (3) linear regression. Subsection 1.2 takes from literature eqs. (5) and (6) as criteria for evaluating respectively model prediction performances. Subsection 2.1 designs our experiments. Section 3 gives Table 6 to show that, judging from the available correlation coefficient criterion, the vector summation model has the best performance. It also gives Table 7 to show that, judging from either of the two criteria (eqs. 5 and 6); the strongest component model is the best.

Original languageEnglish
Pages (from-to)382-386
Number of pages5
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume27
Issue number3
StatePublished - Jun 2009

Keywords

  • Annoyance
  • Combined noise
  • Correlation methods
  • Evaluation
  • Experiments

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