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Date of Publication:2022-10-10

Journal:大连理工大学学报

Issue:5

Page Number:729-732

ISSN No.:1000-8608

Abstract:A nonstationary sequence predictor for missing audio signal recovery is presented and designed. The predictor consists of a few BP networks and a uniform DFT filter bank. Through the improved method of sample processing and designing every BP network respectively, the predictor reaches a high precision comparatively. The multirate parallel processing reduces the data quantity processed by one BP network and increases the speed of missing audio signal recovery. Stimulation results show that this method is effective and efficient.

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