Removal of Partially Correlated Noise to Improve Signal to Noise Ratio—A Theoretical Study

Busbridge S, Garrett C. Removal of Partially Correlated Noise to Improve Signal to Noise Ratio—A Theoretical Study. In: AES Convention 137. Audio Engineering Society; 2014. Paper 177. Available from: https://aes.org/publications/elibrary-page/?id=17412

@inproceedings{Busbridge2014_17412,
  author = {Busbridge, Simon and Garrett, Chris},
  title = {{Removal of Partially Correlated Noise to Improve Signal to Noise Ratio—A Theoretical Study}},
  booktitle = {AES Convention 137},
  note = {Paper 177},
  year = {2014},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17412}
}

TY  - CPAPER
TI  - Removal of Partially Correlated Noise to Improve Signal to Noise Ratio—A Theoretical Study
AU  - Busbridge, Simon
AU  - Garrett, Chris
T2  - AES Convention 137
M1  - Paper 177
PY  - 2014
DA  - 2014/10/06
UR  - https://aes.org/publications/elibrary-page/?id=17412
PB  - Audio Engineering Society
LA  - en
AB  - Time correlation and decorrelation are well established tools to improve the signal to noise ratio of a system, yet they are often poorly understood. When several unwanted signals are correlated they are much easier to remove from uncorrelated wanted signals than vice versa, where a much poorer improvement is possible. A case in point is the removal of wind noise from microphone signals. The situation is further compounded when one or other of the signals is only partially correlated or different spectral content is differently correlated. This paper looks at the theoretical improvement in signal to noise ratio when either the signal or the noise are correlated to different degrees. Application to real signals and noise is discussed.
ER  -