Fuzzy Signals Fed to Gaussian Channels
| Autor: | Andrea Sgarro, Laura Franzoi |
|---|---|
| Přispěvatelé: | Ferraro, M.B., Giordani, P., Vantaggi, B., Gagolewski, M., Ángeles Gil, M., Grzegorzewski, P., Hryniewicz, O., Sgarro, Andrea, Franzoi, Laura |
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Mathematics::General Mathematics Computer science Gaussian SIGNAL (programming language) Probabilistic logic 0102 computer and information sciences 02 engineering and technology 01 natural sciences Fuzzy logic Constraint (information theory) Channel capacity symbols.namesake ComputingMethodologies_PATTERNRECOGNITION 020901 industrial engineering & automation 010201 computation theory & mathematics symbols Fuzzy number ComputingMethodologies_GENERAL Algorithm Computer Science::Information Theory Communication channel |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319429717 SMPS |
| DOI: | 10.1007/978-3-319-42972-4_28 |
| Popis: | We add fuzziness to the signals sent through a continuous Gaussian transmission channel: fuzzy signals are modeled by means of triangular fuzzy numbers. Our approach is mixed, fuzzy/stochastic: below we do not call into question the probabilistic nature of the channel, and fuzziness will concern only the channel inputs. We argue that fuzziness is an adequate choice when one cannot control crisply each signal fed to the channel. Using the fuzzy arithmetic of interactive fuzzy numbers, we explore the impact that a fuzziness constraint has on channel capacity; in our model we are ready to tolerate a given fuzziness error F. We take the chance to put forward a remarkable case of “irrelevance” in fuzzy arithmetic. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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