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Outline: The objective of source coding (a.k.a. data compression) is to give a compact representation of information bearing signals (such as speech, still image, and video) for the purpose of storage or transmission. In this course the fundamentals of the theory and practice of source coding will be studied, with main emphasis on lossy source coding. The(More)
Abmwet-In 19U3 W. R. Bennett used a compandiug model for uommi-form quantlzation and proposed the formula for the mean-square quantizing error where N is the. number of level&p(x) is the probability density of the input, and E'(x) is the slope of the compressor curve. The formula, an approximation based on the assumption that the number of levels is large(More)
This paper proposes a new bit allocation algorithm, capable of efficiently allocating a given quota of hits to an arbitrary set of different quantizers. This algorithm is useful in any coding scheme which employs hit allocation or, more generally, codebook allocation. It produces an optimal or very nearly optimal allocation, while allowing the set of(More)