Abstract
In this contribution the application of signal adaptive, dynamic time-frequency decompositions for the bitrate reduction of high quality audio signals is considered. We introduce a novel algorithm, Frequency-Varying Modulated Lapped Transforms (FV MLT), for the construction of almost arbitrary time-frequency resolutions. This algorithm combines the well known wavelet packet decomposition with tree-structured two-channel filter banks and Time-Varying Modulated Lapped Transforms (TV MLT). We compare the different techniques and explain in detail the benefits for perceptual source coding that result from the adaption of the time-frequency resolution: the efficient concentration of the signal energy to only a few transform coefficients, representing the signal, and the particularly well suited signal description for the perceptual dynamic bit allocation. Finally, we present a coding algorithm, which uses the proposed decomposition and vields bit rates between 50 and 64 kbit/s for monophonic CD quality signals.
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