A novel accelerated artificial bee colony algorithm for optimal design of two dimensional FIR filter

DOI10.1007/S11045-015-0352-5zbMath1386.94026OpenAlexW1116465354MaRDI QIDQ1698413

Supriya Dhabal, Palaniandavar Venkateswaran

Publication date: 15 February 2018

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11045-015-0352-5

zbMATH Keywords

FIR filterABC2D filterCABCGABCmini-MAX design

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Approximation methods and heuristics in mathematical programming (90C59) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (2)

Design of variable elliptical filters with direct tunability in 2D domain ⋮ The data filtering based generalized stochastic gradient parameter estimation algorithms for multivariate output-error autoregressive systems using the auxiliary model

Uses Software

• ABC

Cites Work

• Two modified versions of artificial bee colony algorithm
• Gbest-guided artificial bee colony algorithm for numerical function optimization
• Design of two-dimensional FIR digital filters by McClellan transformation and least-squares contour mapping
• Design of 2-D FIR digital filters with specified magnitude and group delay responses by GA approach
• A comparative study of artificial bee colony algorithm
• A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
• Fast two-dimensional weighted least squares techniques for the design of two-dimensional finite impulse response filters
• A unified approach for the design of 2-D digital filters via semidefinite programming

This page was built for publication: A novel accelerated artificial bee colony algorithm for optimal design of two dimensional FIR filter