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  2. Moore machine - Wikipedia

    en.wikipedia.org/wiki/Moore_machine

    As Moore and Mealy machines are both types of finite-state machines, they are equally expressive: either type can be used to parse a regular language.. The difference between Moore machines and Mealy machines is that in the latter, the output of a transition is determined by the combination of current state and current input (as the domain of ), as opposed to just the current state (as the ...

  3. Mealy machine - Wikipedia

    en.wikipedia.org/wiki/Mealy_machine

    The state diagram for a Mealy machine associates an output value with each transition edge, in contrast to the state diagram for a Moore machine, which associates an output value with each state. When the input and output alphabet are both Σ , one can also associate to a Mealy automata a Helix directed graph [ clarification needed ] ( S × Σ ...

  4. Finite-state machine - Wikipedia

    en.wikipedia.org/wiki/Finite-state_machine

    Moore machine The FSM uses only entry actions, i.e., output depends only on state. The advantage of the Moore model is a simplification of the behaviour. Consider an elevator door. The state machine recognizes two commands: "command_open" and "command_close", which trigger state changes.

  5. Talk:Moore machine - Wikipedia

    en.wikipedia.org/wiki/Talk:Moore_machine

    A more machine can have accepting states - that would be a sequence detector type of machine. I really dunno what this transducer garbage is all about - never heard of that in this context, and all the links to transducer don't make any sense in the context of a sequential circuit - except in the most very basic and useless way.

  6. Maximum likelihood sequence estimation - Wikipedia

    en.wikipedia.org/wiki/Maximum_likelihood...

    The problem to be solved is to use the observations {r(t)} to create a good estimate of {x(t)}. Maximum likelihood sequence estimation is formally the application of maximum likelihood to this problem. That is, the estimate of {x(t)} is defined to be a sequence of values which maximize the functional = (),

  7. Boyer–Moore majority vote algorithm - Wikipedia

    en.wikipedia.org/wiki/Boyer–Moore_majority_vote...

    The Boyer–Moore majority vote algorithm is an algorithm for finding the majority of a sequence of elements using linear time and a constant number of words of memory. It is named after Robert S. Boyer and J Strother Moore , who published it in 1981, [ 1 ] and is a prototypical example of a streaming algorithm .

  8. File:Sequence detector-111 and 110.svg - Wikipedia

    en.wikipedia.org/wiki/File:Sequence_detector-111...

    English: The state diagrams show that sequence detectors do not necessary fall back to the initial (reset) state whenever wrong symbol is recepted. 110 stays at stage 11 and, thus, detects the pattern as soon as 0 arrives whereas detector of 111 must start over if any 0 arrives. This makes 110 to appear more likely in the stream.

  9. Seq2seq - Wikipedia

    en.wikipedia.org/wiki/Seq2seq

    Shannon's diagram of a general communications system, showing the process by which a message sent becomes the message received (possibly corrupted by noise). seq2seq is an approach to machine translation (or more generally, sequence transduction) with roots in information theory, where communication is understood as an encode-transmit-decode process, and machine translation can be studied as a ...