A time-domain feedback analysis of adaptive gradient algorithms via the small gain theorem (1995)
- Authors:
- Autor USP: SAYED, ALI HUSSEIN - EP
- Unidade: EP
- Assunto: FILTROS ELÉTRICOS
- Language: Inglês
- Imprenta:
- Publisher place: Bellingham
- Date published: 1995
- Source:
- Título: Proceedings of the Spie
- Volume/Número/Paginação/Ano: v.2563, p.458-69, 1995
- Conference titles: Advanced Signal Processing: Algorithms
-
ABNT
SAYED, Ali Hussein e RUPP, M. A time-domain feedback analysis of adaptive gradient algorithms via the small gain theorem. Proceedings of the Spie. Bellingham: Escola Politécnica, Universidade de São Paulo. . Acesso em: 12 fev. 2026. , 1995 -
APA
Sayed, A. H., & Rupp, M. (1995). A time-domain feedback analysis of adaptive gradient algorithms via the small gain theorem. Proceedings of the Spie. Bellingham: Escola Politécnica, Universidade de São Paulo. -
NLM
Sayed AH, Rupp M. A time-domain feedback analysis of adaptive gradient algorithms via the small gain theorem. Proceedings of the Spie. 1995 ;2563 458-69.[citado 2026 fev. 12 ] -
Vancouver
Sayed AH, Rupp M. A time-domain feedback analysis of adaptive gradient algorithms via the small gain theorem. Proceedings of the Spie. 1995 ;2563 458-69.[citado 2026 fev. 12 ] - A state-space approach to adaptive filtering
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- A look-ahead block Schur algorithm for toeplitz-like matrices
- A unified derivation of square-root multichannel least-squares filtering algorithms
- On the robustness, convergence, and minimax performance of instantaneous-gradient adaptive filters
- A state-space approach to adaptive RLS filtering
- Recursive linear estimation in krein spaces part i: theory
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