Bayesian multiresolution filter design (2000)
- Authors:
- Autor USP: BARRERA, JUNIOR - IME
- Unidade: IME
- DOI: 10.1117/12.379399
- Assunto: PROCESSAMENTO DE IMAGENS
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings of SPIE
- Volume/Número/Paginação/Ano: v. 3691, p. 22-33, 2000
- Conference titles: Nonlinear Image Processing
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
KAMAT, Vishnu G e DOUGHERTY, Edward R. e BARRERA, Júnior. Bayesian multiresolution filter design. Proceedings of SPIE. Belingham: SPIE. Disponível em: https://doi.org/10.1117/12.379399. Acesso em: 17 fev. 2026. , 2000 -
APA
Kamat, V. G., Dougherty, E. R., & Barrera, J. (2000). Bayesian multiresolution filter design. Proceedings of SPIE. Belingham: SPIE. doi:10.1117/12.379399 -
NLM
Kamat VG, Dougherty ER, Barrera J. Bayesian multiresolution filter design [Internet]. Proceedings of SPIE. 2000 ; 3691 22-33.[citado 2026 fev. 17 ] Available from: https://doi.org/10.1117/12.379399 -
Vancouver
Kamat VG, Dougherty ER, Barrera J. Bayesian multiresolution filter design [Internet]. Proceedings of SPIE. 2000 ; 3691 22-33.[citado 2026 fev. 17 ] Available from: https://doi.org/10.1117/12.379399 - Morphological paradigm for loss-function-based design of digital filters
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Informações sobre o DOI: 10.1117/12.379399 (Fonte: oaDOI API)
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