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Probabilities of Counting Codes
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In many cases counters are used to count special events within an endless sequence of events. This paper discusses a specific calculation, related to the probability of a counter overrun if the special event occurs not in a predictable way but with a certain probability. Different counter codes are compared with each other. A probability formula is developed for special scenarios which are normally analyzed by state diagrams and which can be numerically solved by the related Markov chains. The…
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- Autorius: Peter Müller
- Leidėjas: Books on Demand
- Metai: 2011
- Puslapiai: 112
- ISBN-10: 3842380380
- ISBN-13: 9783842380387
- Formatas: 14.8 x 21 x 0.7 cm, minkšti viršeliai
- Kalba: Anglų
- Extra -15 % nuolaida šiai knygai su kodu: ENG15
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In many cases counters are used to count special events within an endless sequence of events. This paper discusses a specific calculation, related to the probability of a counter overrun if the special event occurs not in a predictable way but with a certain probability. Different counter codes are compared with each other. A probability formula is developed for special scenarios which are normally analyzed by state diagrams and which can be numerically solved by the related Markov chains. The target is to enable a non-numerical discussion of the topic. It is shown how formulas can be found based on the rules of the probability theory, and their correctness is verified by a comparison with Markov chains.EXTRA 15 % nuolaida su kodu: ENG15
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- Autorius: Peter Müller
- Leidėjas: Books on Demand
- Metai: 2011
- Puslapiai: 112
- ISBN-10: 3842380380
- ISBN-13: 9783842380387
- Formatas: 14.8 x 21 x 0.7 cm, minkšti viršeliai
- Kalba: Anglų
In many cases counters are used to count special events within an endless sequence of events. This paper discusses a specific calculation, related to the probability of a counter overrun if the special event occurs not in a predictable way but with a certain probability. Different counter codes are compared with each other. A probability formula is developed for special scenarios which are normally analyzed by state diagrams and which can be numerically solved by the related Markov chains. The target is to enable a non-numerical discussion of the topic. It is shown how formulas can be found based on the rules of the probability theory, and their correctness is verified by a comparison with Markov chains.
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