Stefan Wabnik

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This paper compares two prediction structures for predictive perceptual audio coding in the context of the Ultra Low Delay (ULD) coding scheme. One structure is based on the commonly used AR signal model, leading to an IIR predictor in the decoder. The other structure is based on an MA signal model, leading to an FIR predictor in the decoder. We find that(More)
The paper presents a comparison of a previous and a new approach to shape quantization noise in low bit rate predictive audio coding. The previous approach uses an adaptation of the step size of a uniform quantizer, the new approach uses a quantizer with clipping. Both approaches are evaluated using a predictive audio coding scheme. The presented results of(More)
The goal of the schemes we present in this paper is to obtain an ultra low delay audio coder with a good performance even at low bit rates (around 64 kb/s). The problem to be solved is to gain sufficient frequency resolution at low frequencies for precise low frequency psycho-acoustics and quantization noise shaping, because the ear has a higher frequency(More)
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