A Low-Delay Audio Coder with Constrained-Entropy Quantization
We present a low-delay, constrained-entropy, backward adaptive, linear-predictive audio coder with low computational complexity. In contrast to most practical linear-predictive coders, the coder facilitates the exploitation of reverse waterfilling. The coder uses time-invariant quantization step siz...
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| Vydáno v: | 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics s. 191 - 194 |
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| Hlavní autoři: | , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
IEEE
01.10.2007
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| Témata: | |
| ISBN: | 9781424416189, 1424416183 |
| ISSN: | 1931-1168 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | We present a low-delay, constrained-entropy, backward adaptive, linear-predictive audio coder with low computational complexity. In contrast to most practical linear-predictive coders, the coder facilitates the exploitation of reverse waterfilling. The coder uses time-invariant quantization step size and constrained-entropy coding, thus eliminating the convergence problems of backward adaptation near signal transitions. Yet rate variations are kept small by the usage of a mixture model density for the signal. The mixture model has the backward adapted model and a second model as components and the component probability is transmitted. Experimental results confirm the advantages of the coder structure and show that the coder provides good overall performance. |
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| ISBN: | 9781424416189 1424416183 |
| ISSN: | 1931-1168 |
| DOI: | 10.1109/ASPAA.2007.4393029 |

