Abstract
A coding concept based on linear prediction and using spectral domain noise shaping by using the audio input signal into a spectral decomposition of spectrum comprises a spectral sequence for the linear prediction coefficient calculation and spectral domain shaping based on both of the linear prediction coefficient in the encoding efficiency is similar with respect to rate/distortion ratio such as with relatively low complexity. even cause aliasing and need time-aliasing cancellation lapped transform such as a lapped transform of the critical sampling (e.g. MDCT) is used for spectral decomposition coding efficiency is not changed.
An encoding concept which is linear prediction based and uses spectral domain noise shaping is rendered less complex at a comparable coding efficiency in terms of for example rate/distortion ratio by using the spectral decomposition of the audio input signal into a spectrogram comprising a sequence of spectra for both linear prediction coefficient computation as well as spectral domain shaping based on the linear prediction coefficients. The coding efficiency may remain even if such a lapped transform is used for the spectral decomposition which causes aliasing and necessitates time aliasing cancellation such as critically sampled lapped transforms such as an MDCT.
An encoding concept which is linear prediction based and uses spectral domain noise shaping is rendered less complex at a comparable coding efficiency in terms of for example rate/distortion ratio by using the spectral decomposition of the audio input signal into a spectrogram comprising a sequence of spectra for both linear prediction coefficient computation as well as spectral domain shaping based on the linear prediction coefficients. The coding efficiency may remain even if such a lapped transform is used for the spectral decomposition which causes aliasing and necessitates time aliasing cancellation such as critically sampled lapped transforms such as an MDCT.
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