Real-time implementation of a psychoacoustically motivated wavelet packet-based monophonic full-duplex audio coder using the developed a dynamic algorithm transforms approach are proposed. The principle behind approach is to define parameter of input audio signals (subband entropy) and output encoded sequences (subband rate) for the given embedded processor architecture. Adaptive wavelet analysis for audio signal coding purposes is particularly interesting if the psychoacoustic information is considered in the WP decomposition scale. The advantages of this approach are better viewed by considering the wavelet packet pruning as a splitting process, i.e. the temporal construction WP tree created for each signal frame presents an ideal decision for real time processing implemented in a reconfigurable hardware.
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