Novel approach to design matched digital filter with abelian group and fuzzy particle swarm optimization vector quantization
DOI10.1016/J.INS.2022.11.137MaRDI QIDQ6494635
B. B. Sharma, Anuj Banshwar, Naveen Kumar Sharma, Fausto Pedro García Márquez, Hasmat Malik
Publication date: 30 April 2024
Published in: Information Sciences (Search for Journal in Brave)
group theoryabelian groupparticle swarm optimizationfilter vector quantizationfuzzy inference method
Filtering in stochastic control theory (93E11) Approximation methods and heuristics in mathematical programming (90C59) Fuzzy control/observation systems (93C42) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)
Cites Work
- Unnamed Item
- On fuzzy spaces and fuzzy group theory
- An improved bilevel optimization approach for image super-resolution based on a fractional diffusion tensor
- Texture Classification Using Local Pattern Based on Vector Quantization
- Performance Re-Evaluation on “Codewords Distribution-Based Optimal Combination of Equal-Average Equal-Variance Equal-Norm Nearest Neighbor Fast Search Algorithm for Vector Quantization Encoding”
- Global Sampled-Data Regulation of a Class of Fully Actuated Invariant Systems on Simply Connected Nilpotent Matrix Lie Groups
- IIR Filtering on Graphs With Random Node-Asynchronous Updates
- Importance Gaussian Quadrature
This page was built for publication: Novel approach to design matched digital filter with abelian group and fuzzy particle swarm optimization vector quantization