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where D is the matrix which transforms a column vector of the recorded data into a column vector of double differenced data: DL = DL Clearly, D is a rectangular matrix with the number of rows equal to the number of linearly independent double differenced data, and the number of columns equal to the number of recorded data. Using our previous assumptions, D has dimensions q(r 1)(s 1) qrs. The components of D must have values of +1, 1, or 0, arranged so that we produce a linearly independent set of double differences. To complete this discussion, the double differenced data weight matrix can be written: W = (DCDT) 1



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Since the channel is memoryless, log Pr{r/I} = log Pr{rj/Ij}, the criterion has thus the following equivalent form: To find I* such that log Pr{r/I*} = Min Pr{r/I}, or To find I* such that log Pr{r/I*} = Min log Pr{rj/Ij} This is equivalent to: To find c* such that log Pr{r/c*} = Min log Pr{rj/cj} From the received sequence r and each code sequence c, a path metric can be further defined for an AWGN channel Note that log Pr{rj/cj} = log (2 ) ||rj cj||2, the path length is now ||rj cj||2, that is just the Euclidean distance between r and c This is why the maximum likelihood decoding is to find the code sequence, or the corresponding trellis path, that is the closest to the received sequence in Euclidean distance.





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The criterion is still expressed as: To find c* such that log Pr{r/c*} = Min ||rj cj||2 The Viterbi algorithm solves this problem by applying the dynamic programming principle that assures the global optimality with local optimum decisions The local decisions reduce the computation efforts on the trellis In practice, much simpler integer metrics quantized to 3-bit are used, see [Ref 3-10] and [Ref 3-17] Roughly speaking, to find the shortest path among the 2rL ones, r being the code rate, L the sequence length, 2rL path metrics are to be evaluated and compared, if a brute-force method is used In the Viterbi algorithm (VA), much less calculation effort is necessary From the first trellis section to the L-th one, the VA progresses section by section.

(5.7)

At each node, it takes a local decision by eliminating one of the two paths merged to it by taking the one having the shorter path length Each time a binary comparison is made, 1/2 paths have been eliminated in the future Once the L-th section is reached, the VA decoder begins to deliver a bit decision At the L-th section, it gives the 1st bit decision Then, it progresses on the trellis by one section, making the decision of the (t L)-th bit at the instant t In the decoder path memory, only L sections are stored All the information stored for the sections preceding t L sections are discarded This is called truncated memory Viterbi decoding, that is implementable in practice..

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