Extrapolation, Interpolation, and Smoothing of Stationary Time Series
A book thatbecame the basis for modern communication theory, by a scientist considered one of the founders of the field of artifical intelligence.Some predict that Norbert Wiener will be remembered for his Extrapolation long after Cybernetics is forgotten. Indeed, few computer science students would...
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| Príomhchruthaitheoir: | |
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| Formáid: | Online |
| Teanga: | Béarla |
| Foilsithe / Cruthaithe: |
The MIT Press
2024
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| Ábhair: | |
| Rochtain ar líne: | ONIX_20241025_9780262257190_4 |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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| _version_ | 1869515855338930176 |
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| author | Wiener, Norbert |
| author_browse | Wiener, Norbert |
| author_facet | Wiener, Norbert |
| author_sort | Wiener, Norbert |
| collection | Directory of Open Access Books |
| description | A book thatbecame the basis for modern communication theory, by a scientist considered one of the founders of the field of artifical intelligence.Some predict that Norbert Wiener will be remembered for his Extrapolation long after Cybernetics is forgotten. Indeed, few computer science students would know today what cybernetics is all about, while every communication student knows what Wiener's filter is. The original work was circulated as a classified memorandum in 1942, because it was connected with sensitive wartime efforts to improve radar communication. This book became the basis for modern communication theory, by a scientist considered one of the founders of the field of artifical intelligence. Combining ideas from statistics and time-series analysis, Wiener used Gauss's method of shaping the characteristic of a detector to allow for the maximal recognition of signals in the presence of noise. This method came to be known as the "Wiener filter." |
| format | Online |
| id | doab-20.500.12854ir-146626 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | The MIT Press |
| publisherStr | The MIT Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1466262024-10-25T13:13:23Z Extrapolation, Interpolation, and Smoothing of Stationary Time Series Wiener, Norbert Cognitive Sciences/General thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory A book thatbecame the basis for modern communication theory, by a scientist considered one of the founders of the field of artifical intelligence.Some predict that Norbert Wiener will be remembered for his Extrapolation long after Cybernetics is forgotten. Indeed, few computer science students would know today what cybernetics is all about, while every communication student knows what Wiener's filter is. The original work was circulated as a classified memorandum in 1942, because it was connected with sensitive wartime efforts to improve radar communication. This book became the basis for modern communication theory, by a scientist considered one of the founders of the field of artifical intelligence. Combining ideas from statistics and time-series analysis, Wiener used Gauss's method of shaping the characteristic of a detector to allow for the maximal recognition of signals in the presence of noise. This method came to be known as the "Wiener filter." 2024-10-25T13:13:21Z 2024-10-25T13:13:21Z 1964 book ONIX_20241025_9780262257190_4 9780262257190 9780262230025 https://directory.doabooks.org/handle/20.500.12854/146626 eng The MIT Press image/jpeg n/a https://doi.org/10.7551/mitpress/2946.001.0001 The MIT Press The MIT Press 10.7551/mitpress/2946.001.0001 10.7551/mitpress/2946.001.0001 ae0cf962-f685-4933-93d1-916defa5123d 9780262257190 9780262230025 The MIT Press 163 Cambridge open access |
| spellingShingle | Cognitive Sciences/General thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory Wiener, Norbert Extrapolation, Interpolation, and Smoothing of Stationary Time Series |
| title | Extrapolation, Interpolation, and Smoothing of Stationary Time Series |
| title_full | Extrapolation, Interpolation, and Smoothing of Stationary Time Series |
| title_fullStr | Extrapolation, Interpolation, and Smoothing of Stationary Time Series |
| title_full_unstemmed | Extrapolation, Interpolation, and Smoothing of Stationary Time Series |
| title_short | Extrapolation, Interpolation, and Smoothing of Stationary Time Series |
| title_sort | extrapolation interpolation and smoothing of stationary time series |
| topic | Cognitive Sciences/General thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory |
| topic_facet | Cognitive Sciences/General thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory |
| url | ONIX_20241025_9780262257190_4 |
| work_keys_str_mv | AT wienernorbert extrapolationinterpolationandsmoothingofstationarytimeseries |