Adaptive Filtering
Adaptive filtering can be used to characterize unknown systems in time-variant environments. The main objective of this approach is to meet a difficult comprise: maximum convergence speed with maximum accuracy. Each application requires a certain approach which determines the filter structure, the c...
Đã lưu trong:
| Định dạng: | Online |
|---|---|
| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
IntechOpen
2021
|
| Những chủ đề: | |
| Truy cập trực tuyến: | ONIX_20210420_9789535109983_1788 |
| Các nhãn: |
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
|
| _version_ | 1869516577722859520 |
|---|---|
| collection | Directory of Open Access Books |
| description | Adaptive filtering can be used to characterize unknown systems in time-variant environments. The main objective of this approach is to meet a difficult comprise: maximum convergence speed with maximum accuracy. Each application requires a certain approach which determines the filter structure, the cost function to minimize the estimation error, the adaptive algorithm, and other parameters; and each selection involves certain cost in computational terms, that in any case should consume less time than the time required by the application working in real-time. Theory and application are not, therefore, isolated entities but an imbricated whole that requires a holistic vision. This book collects some theoretical approaches and practical applications in different areas that support expanding of adaptive systems. |
| format | Online |
| id | doab-20.500.12854ir-66430 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-664302024-04-14T10:28:02Z Adaptive Filtering Garcia Morales, Lino Systems analysis & design thema EDItEUR::U Computing and Information Technology::UY Computer science Adaptive filtering can be used to characterize unknown systems in time-variant environments. The main objective of this approach is to meet a difficult comprise: maximum convergence speed with maximum accuracy. Each application requires a certain approach which determines the filter structure, the cost function to minimize the estimation error, the adaptive algorithm, and other parameters; and each selection involves certain cost in computational terms, that in any case should consume less time than the time required by the application working in real-time. Theory and application are not, therefore, isolated entities but an imbricated whole that requires a holistic vision. This book collects some theoretical approaches and practical applications in different areas that support expanding of adaptive systems. 2021-04-20T15:43:01Z 2021-04-20T15:43:01Z 2013 book ONIX_20210420_9789535109983_1788 9789535109983 9789535163084 https://directory.doabooks.org/handle/20.500.12854/66430 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/3098/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/3398 10.5772/3398 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789535109983 9789535163084 IntechOpen 164 open access |
| spellingShingle | Systems analysis & design thema EDItEUR::U Computing and Information Technology::UY Computer science Adaptive Filtering |
| title | Adaptive Filtering |
| title_full | Adaptive Filtering |
| title_fullStr | Adaptive Filtering |
| title_full_unstemmed | Adaptive Filtering |
| title_short | Adaptive Filtering |
| title_sort | adaptive filtering |
| topic | Systems analysis & design thema EDItEUR::U Computing and Information Technology::UY Computer science |
| topic_facet | Systems analysis & design thema EDItEUR::U Computing and Information Technology::UY Computer science |
| url | ONIX_20210420_9789535109983_1788 |