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Heuristic Algorithms for Extracting Relevant Features in Signal Analysis

Davor Antonić
Mario Žagar

Puni tekst: engleski, pdf (200 KB) str. 39-46 preuzimanja: 654* citiraj
APA 6th Edition
Antonić, D. i Žagar, M. (2002). Heuristic Algorithms for Extracting Relevant Features in Signal Analysis. Automatika, 43 (1-2), 39-46. Preuzeto s https://hrcak.srce.hr/6687
MLA 8th Edition
Antonić, Davor i Mario Žagar. "Heuristic Algorithms for Extracting Relevant Features in Signal Analysis." Automatika, vol. 43, br. 1-2, 2002, str. 39-46. https://hrcak.srce.hr/6687. Citirano 28.11.2021.
Chicago 17th Edition
Antonić, Davor i Mario Žagar. "Heuristic Algorithms for Extracting Relevant Features in Signal Analysis." Automatika 43, br. 1-2 (2002): 39-46. https://hrcak.srce.hr/6687
Harvard
Antonić, D., i Žagar, M. (2002). 'Heuristic Algorithms for Extracting Relevant Features in Signal Analysis', Automatika, 43(1-2), str. 39-46. Preuzeto s: https://hrcak.srce.hr/6687 (Datum pristupa: 28.11.2021.)
Vancouver
Antonić D, Žagar M. Heuristic Algorithms for Extracting Relevant Features in Signal Analysis. Automatika [Internet]. 2002 [pristupljeno 28.11.2021.];43(1-2):39-46. Dostupno na: https://hrcak.srce.hr/6687
IEEE
D. Antonić i M. Žagar, "Heuristic Algorithms for Extracting Relevant Features in Signal Analysis", Automatika, vol.43, br. 1-2, str. 39-46, 2002. [Online]. Dostupno na: https://hrcak.srce.hr/6687. [Citirano: 28.11.2021.]

Sažetak
Extraction of relevant features is essential stage in a pattern recognition and classification system. Goal of the feature extraction algorithm is to find feature subset where relevant information for recognition is contained in minimal number of features. Proposed algorithms are based on the assumption that features with better individual discrimination ability will also be better in combination with other features. Features are first extracted from the initial set, then sorted according to their individual fitness. Sorted set is used to form the search tree. Two heuristic algorithms are proposed: the first one performs the depth first search, bounded with required increase of fitness function and the second one is based on genetic algorithm. Their performances are compared with complete search and sequential search (FSS, BSS) algorithms.

Ključne riječi
feature extraction; pattern recognition; signal analysis

Hrčak ID: 6687

URI
https://hrcak.srce.hr/6687

[hrvatski]

Posjeta: 1.007 *