Performance of split-window multipass-mean noise spectral estimators

Author

Shapiro, Jeffrey H. ; Green, Thomas J., Jr.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA

Volume

36

Issue

4

fYear

2000

fDate

10/1/2000 12:00:00 AM

Firstpage

1360

Lastpage

1370

Abstract

Spectrogram background normalization for narrowband passive acoustic detection systems has a long history, and the split-window three-pass mean noise spectral estimator (S3PM NSE) is currently a standard in this regard. As yet, however, there is no analytical design methodology for choosing the window parameters and shearing thresholds for the S3PM NSE. That deficiency is remedied here by deriving an approximation for the bias of the S3PM NSE when its input is colored Gaussian noise.

Keywords

Gaussian noise; acoustic signal detection; covariance analysis; filtering theory; spectral analysis; bias approximation; colored Gaussian noise input; covariance behaviour; filtering effects; mean value approximation; narrowband passive acoustic detection systems; shearing thresholds; spectrogram background normalization; split-window multipass-mean noise spectral estimator; split-window three-pass mean noise spectral estimator; window parameters; Acoustic noise; Acoustic signal detection; Background noise; Design methodology; Gaussian noise; History; Narrowband; Neutron spin echo; Shearing; Spectrogram;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.892683

Filename

892683