Mathematics for signal and information processing (2009)
- Autores:
- Autor USP: BARRERA, JUNIOR - IME
- Unidade: IME
- Assuntos: PROCESSAMENTO DE IMAGENS; PROCESSAMENTO DE SINAIS
- Idioma: Inglês
- Imprenta:
- Editora: SPIE
- Local: Bellingham, WA
- Data de publicação: 2009
- ISBN: 9780819477347
- Nome do evento: Mathematics for signal and information processing
-
ABNT
Mathematics for signal and information processing. . Bellingham, WA: SPIE. Disponível em: http://spie.org/Publications/Proceedings/Volume/7444?&origin_id=x4325&start_volume_number=07400&end_volume_number=07499&num_results=100. Acesso em: 24 abr. 2024. , 2009 -
APA
Mathematics for signal and information processing. (2009). Mathematics for signal and information processing. Bellingham, WA: SPIE. Recuperado de http://spie.org/Publications/Proceedings/Volume/7444?&origin_id=x4325&start_volume_number=07400&end_volume_number=07499&num_results=100 -
NLM
Mathematics for signal and information processing [Internet]. 2009 ;[citado 2024 abr. 24 ] Available from: http://spie.org/Publications/Proceedings/Volume/7444?&origin_id=x4325&start_volume_number=07400&end_volume_number=07499&num_results=100 -
Vancouver
Mathematics for signal and information processing [Internet]. 2009 ;[citado 2024 abr. 24 ] Available from: http://spie.org/Publications/Proceedings/Volume/7444?&origin_id=x4325&start_volume_number=07400&end_volume_number=07499&num_results=100 - Mathematical morphology and its applications to signal and image processing
- Hybrid human-machine non-linear filter design using envelopes
- Finding robust linear expression-based classifiers
- Pattern recognition theory in nonlinear signal processing
- Verificação de impressões digitais utilizando morfologia matemática
- A parallel algorithm for finding small sets of genes that are enough to distinguish two biological states
- Optimal range-domain window filters
- Mathematical morphology toolbox for the KHOROS system
- Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory
- Color image gradients for morphological segmentation
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