Abstract
Often a signal coding system contains several different quantizers, each of which has the task of encoding a different parameter that is needed to characterize the signal. Each such parameter may have a different physical meaning and may require a different relative accuracy of reproduction to achieve a desired overall quality of the reconstructed signal. The number of bits available to collectively describe this set of parameters is inevitably limited. Consequently, a major concern of the designer of a coding system is bit allocation, the task of distributing a given quota of bits to the various quantizers to optimize the overall coder performance. In a broader sense, this is an interdisciplinary problem which arises in everyday life: how do we efficiently distribute a limited or scarce resource to achieve the maximum benefit?
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© 1992 Springer Science+Business Media New York
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Gersho, A., Gray, R.M. (1992). Bit Allocation and Transform Coding. In: Vector Quantization and Signal Compression. The Springer International Series in Engineering and Computer Science, vol 159. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3626-0_8
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DOI: https://doi.org/10.1007/978-1-4615-3626-0_8
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-6612-6
Online ISBN: 978-1-4615-3626-0
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