hrcak mascot   Srce   HID

Preliminary communication

Heuristic Algorithms for Extracting Relevant Features in Signal Analysis

Davor Antonić
Mario Žagar

Fulltext: english, pdf (200 KB) pages 39-46 downloads: 660* cite
APA 6th Edition
Antonić, D. & Žagar, M. (2002). Heuristic Algorithms for Extracting Relevant Features in Signal Analysis. Automatika, 43 (1-2), 39-46. Retrieved from https://hrcak.srce.hr/6687
MLA 8th Edition
Antonić, Davor and Mario Žagar. "Heuristic Algorithms for Extracting Relevant Features in Signal Analysis." Automatika, vol. 43, no. 1-2, 2002, pp. 39-46. https://hrcak.srce.hr/6687. Accessed 5 Dec. 2021.
Chicago 17th Edition
Antonić, Davor and Mario Žagar. "Heuristic Algorithms for Extracting Relevant Features in Signal Analysis." Automatika 43, no. 1-2 (2002): 39-46. https://hrcak.srce.hr/6687
Harvard
Antonić, D., and Žagar, M. (2002). 'Heuristic Algorithms for Extracting Relevant Features in Signal Analysis', Automatika, 43(1-2), pp. 39-46. Available at: https://hrcak.srce.hr/6687 (Accessed 05 December 2021)
Vancouver
Antonić D, Žagar M. Heuristic Algorithms for Extracting Relevant Features in Signal Analysis. Automatika [Internet]. 2002 [cited 2021 December 05];43(1-2):39-46. Available from: https://hrcak.srce.hr/6687
IEEE
D. Antonić and M. Žagar, "Heuristic Algorithms for Extracting Relevant Features in Signal Analysis", Automatika, vol.43, no. 1-2, pp. 39-46, 2002. [Online]. Available: https://hrcak.srce.hr/6687. [Accessed: 05 December 2021]

Abstracts
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.

Keywords
feature extraction; pattern recognition; signal analysis

Hrčak ID: 6687

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

[croatian]

Visits: 1.015 *