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where EL(AD ) is the expected length of a phrase from AD (a) Prove that R(AD ) H (X) (b) The process of constructing AD can be considered as a process of constructing an m-ary tree whose leaves are the phrases in AD Assume that D = 1 + k(m 1) for some integer k 1 Consider the following algorithm due to Tunstall: (i) Start with A = {0, 1, , m 1} with probabilities p0 , p1 , , pm 1 This corresponds to a complete m-ary tree of depth 1 (ii) Expand the node with the highest probability For example, if p0 is the node with the highest probability, the new set is A = {00, 01, , 0(m 1), 1, , (m 1)} (iii) Repeat step 2 until the number of leaves (number of phrases) reaches the required value.

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Here are the steps for editing the window: 1. Before starting, make sure that TextEdit isn t running and that you ve created a backup copy of TextEdit. 2. Go to the Finder and navigate to /Developer/Applications/Interface Builder. Double-click Interface Builder to open it.

3.3. Osteogenic Medium Dulbecco s modi ed Eagle s medium (DMEM) Fetal bovine serum (FBS), 10% Penicillin, 100 U/ml, streptomycin, 100 g/ml Fungizone, 0.5 g/ml Ascorbic acid 2-phosphate, 50 g/ml Dexamethasone, 10 nM -Glycerophosphate, 10 mM BMP-2, 1 g/ml

Show that the Tunstall algorithm is optimal in the sense that it constructs a variable to a xed code with the best R(AD ) for a given D [ie, the largest value of EL(AD ) for a given D] (c) Show that there exists a D such that R(A ) < H (X) + 1 D HISTORICAL NOTES The problem of encoding a source with an unknown distribution was analyzed by Fitingof [211] and Davisson [159], who showed that there were classes of sources for which the universal coding procedure was asymptotically optimal The result relating the average redundancy of a universal code and channel capacity is due to Gallager [229] and Ryabko [450] Our proof follows that of Csisz r.

3.

(16.173)

This result was extended to a show that the channel capacity was the lower bound for the redundancy for most sources in the class by Merhav and Feder [387], extending the results obtained by Rissanen [444, 448] for the parametric case The arithmetic coding procedure has its roots in the Shannon Fano code developed by Elias (unpublished), which was analyzed by Jelinek [297] The procedure for the construction of a pre x-free code described in the text is due to Gilbert and Moore [249] Arithmetic coding itself was developed by Rissanen [441] and Pasco [414]; it was generalized by Langdon and Rissanen [343] See also the enumerative methods in Cover [120] Tutorial introductions to arithmetic coding can be found in Langdon [342] and Witten et al [564] Arithmetic coding combined with the context-tree weighting algorithm due to Willems et al [560, 561] achieve the Rissanen.

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