1993
DOI: 10.1049/ip-e.1993.0015
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Reed-Muller universal logic module networks

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Cited by 8 publications
(3 citation statements)
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“…The use of RM-ULM for realization of logic functions has already been explored by researchers. A programmed algorithm was developed by L. Xu [2], which is analogous to the algorithm in [6], for optimization of number of modules at sub-system level in a tree network. The algorithm looks for possible cascade networks, and if it is not found a tree structure is implemented.…”
Section: Sreela Sasimentioning
confidence: 99%
See 1 more Smart Citation
“…The use of RM-ULM for realization of logic functions has already been explored by researchers. A programmed algorithm was developed by L. Xu [2], which is analogous to the algorithm in [6], for optimization of number of modules at sub-system level in a tree network. The algorithm looks for possible cascade networks, and if it is not found a tree structure is implemented.…”
Section: Sreela Sasimentioning
confidence: 99%
“…Step 13: Get the reduced piterm tables for each possible (x, ® x;), and find the (x, ® x;) for which both reduced piterm tables are single module implementations by repeating the steps 4 & 5. The exhaustive branching algorithm is demonstrated in the following examples. The delivered network has 3 modules using only 2 levels in the proposed approach, as shown in the Figure 2, while in the tree implementation [2,3] the synthesized network will have 3 modules in 3 levels as shown in Figure 3. Exhaustive branched implementation for F =® L (5,6,9,10) x4 Figure 5.…”
Section: Number Of Zeros > Number Of Ones (Ii)mentioning
confidence: 99%
“…There are two types of RM expansions for binary case: the fixed and mixed polarity RM expansions. Expressing a binary function in its mixed polarity RM expansion may possibly yield simpler final circuit design than the fixed counterparts [1,12]. On the other hand, a fixed RM circuit needs only half of the number of inputs as compared to the mixed counterpart.…”
Section: Introductionmentioning
confidence: 99%