Predictive deconvolution is a digital signal decorrelation technique for reducing the adverse effects of addictive and convolutional noise on audio signals. This procedure makes use of a Wiener predictor to estimate the correlated noise components in an audio signal and to subtract these components from that signal. The resulting signal is then shaped to a desired spectrum. An adaptive predictor further enhances this process by reducing undesired noise effects which are only short-term stationary. A real time 150th order adaptive predictive deconvolver, the Automatic Digital Audio Processor (ADAP), has been developed and is being used successfully in a variety of digital audio processing applications. Several examples of noise cancellation on audio recordings using the ADAP will be presented.
https://www.aes.org/e-lib/browse.cfm?elib=3088
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.
Learn more about the AES E-Library
Start a discussion about this paper!
