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Can I read Robust Hybrid Affine Projection Filtering Algorithm Under α-Stable Environment on EtoBox?

Robust Hybrid Affine Projection Filtering Algorithm Under α-Stable Environment by Xingli Zhou; Guoliang Li; Ziyi Wang; Gang Wang; Hongbin Zhang is a Computer Science article available to read on EtoBox.

What is Robust Hybrid Affine Projection Filtering Algorithm Under α-Stable Environment about?

A novel hybrid affine projection algorithm (H-APA) is proposed. This algorithm is considered to be a derivation of the affine projection sign algorithm (APSA). The APSA can be greatly affected by impulsive noise. To solve this problem, the proposed algorithm is applied with the robust mixed-norm algorithm (RMNA). The simulated results show that the proposed algorithm is insensitive to impulsive noise with fast convergence rate under the colored input condition. In addition, a simplified H-APA (SH-APA) is derived based on the proposed H-APA to reduce the complexity of the algorithm. Numerical simulations show that compared with the existing AP-type algorithms, the proposed algorithms have faster convergence speed.

Who reads Robust Hybrid Affine Projection Filtering Algorithm Under α-Stable Environment?

It is typically read by researchers, students, and practitioners in Computer Science.

Author
Xingli Zhou; Guoliang Li; Ziyi Wang; Gang Wang; Hongbin Zhang
Publisher
Elsevier BV
Published
2023
Language
EN
Field
Computer Science (Physical Sciences)

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