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By John G. Webster (Editor)

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For the best compression ratio, efficient entropy coding can be applied to the quantized coefficients at the coding stage. After receiving the signal from the network, the decoder decodes and inverse quantizes the received signal and reconstructs the transform coefficients, yˆ. The reconstructed transform coefficients passes through the inverse transform, TϪ1, which generates the reconstructed signal, xˆ. In general, transform coding takes advantage of the linear dependency of adjacent input samples.

Because of this, the conferencing speech signals can be transmitted to the destination through a lower bandwidth network at a reasonable cost. For music centric entertainment applications that require near CD-quality audio, the amount of information loss that can be tolerated is significantly lower. However, it is still not necessary to restrict compression to lossless techniques. The European MUSICAM and ISO MPEG digital audio standards both incorporate lossy compression yet produce high-fidelity audio.

Esteban, and C. Galand, Perfect channel splitting by use of interpolation/decimation techniques, Proc. Int. Conf. Inf. Sci. , Piscataway, NJ: IEEE Press, 1976. 29. J. D. Johnson, A filter family designed for use in quadrature mirror filter banks, Proc. IEEE Int. Conf. , Piscataway, NJ: IEEE Press, 1980, pp. 291–294. 696 DATA-FLOW AND MULTITHREADED ARCHITECTURES 30. M. J. T. Smith and T. P. Barnwell III, A procedure for designing exact reconstruction filter banks for tree structured subband coders, Proc.

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