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.
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