title: [The noise-filtering of chemiluminescence spectra with wavelet multiresolution analysis].
abstract: In this paper, the wavelet multiresolution signal decomposition was successfully applied to the filtering of high-frequency noise in chemiluminescence spectra. The spectra signal-to-noise ratio was greatly improved while the noise was suppressed effectively. The effect of wavelet basis and time of decomposition are also discussed. It is shown that the wavelet analyses have many advantages in processing of discrete signals.
authors.affiliation: Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, 230031 Hefei.
authors.forename: J
authors.initials: J
authors.lastname: Zhou
authors.forename: S
authors.initials: S
authors.lastname: Jin
authors.forename: H
authors.initials: H
authors.lastname: Chen
authors.forename: J
authors.initials: J
authors.lastname: Gao
authors.forename: S
authors.initials: S
authors.lastname: Zhou
mesh_terms: D000465:Algorithms; D008163:Luminescent Measurements; D008433:Mathematics; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013057:Spectrum Analysis