Characteristic waveform decomposition and reconfiguration method based on Haar wavelet exaltation
A characteristic waveform and wavelet lifting technology, applied in the field of speech coding, can solve problems such as the inability to obtain efficient coding results, and achieve the effects of being beneficial to real-time applications, easy to implement, and simple to transform
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[0021] The present invention will be further introduced below in conjunction with the accompanying drawings and embodiments. The present invention is mainly aimed at the implementation method of the characteristic waveform decomposition and reconstruction process in the characteristic waveform interpolation speech coding algorithm, and is applicable to any characteristic waveform interpolation speech coding algorithm that needs to decompose and reconstruct the characteristic wave surface.
[0022] For example, the characteristic waveform interpolation speech coding algorithm encodes and decodes the input narrow-band 8kHz sampled speech, and the extraction rate of the characteristic wave is set to 400Hz, that is, 8 characteristic waveforms are extracted from a frame of speech of 20ms. After the current analysis frame is preprocessed, linear predictive analysis and pitch period estimation, a characteristic waveform is extracted from the prediction residual every 2.5ms according t...
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