On hilbert space design of least‐weighted‐squares digital filters

DOI10.1002/cta.4490110103zbMath0499.94022OpenAlexW2069944260MaRDI QIDQ3966055

Horst Ziegler, Manfred U. A. Bromba

Publication date: 1983

Published in: International Journal of Circuit Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cta.4490110103

zbMATH Keywords

Krawtchouk polynomialsHahn polynomialsFIR digital filtersdiscrete orthogonal functionslinear- phase lowpassesmaximally flat digital lowpassesnarrowband differentiationnarrowband operationsnoise contaminated signalsnumerical convolution operationsrandom coloured noise

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Application of orthogonal and other special functions (94A11)

Related Items (3)

Survey on algebraic numerical differentiation: historical developments, parametrization, examples, and applications ⋮ Differentiation by integration using orthogonal polynomials, a survey ⋮ On the Legendre-based filters of Persson and Strang

Cites Work

• On the theory of moving average graduation
• Moving-weighted-average smoothing extended to the extremities of the data. I. Theory
• Moving-weighted-average smoothing extended to the extremities of the data. II. Methods
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