Spline NLMS Adaptive Filter Algorithm based on the Signed Regressor of Input Signal

IF 1.4 4区工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY

Scientia Iranica Pub Date : 2023-10-04 DOI:10.24200/sci.2023.62258.7738

Hossein Tavakoli, Mohammad Shams Esfand Abadi

引用次数: 0

Abstract

This paper presents a new spline adaptive filtering (SAF) algorithm based on signed regressor (SR) of input signal. The algorithm is called SR-SAF normalized least mean squares (SR-SAF-NLMS). The SR-SAF-NLMS is established through $L_{1}$-norm constraint to the proposed cost function. In this algorithm, the polarity of the input signal is used to adjust the weight coefficients and control point vectors. Therefore, the computational complexity, especially the number of multiplications, is significantly reduced. Furthermore, the performance of the SR-SAF-NLMS is close to the conventional SAF-NLMS. The good performance of the proposed algorithm is demonstrated through several simulation results in different scenarios.

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基于输入信号符号回归量的样条NLMS自适应滤波算法

提出了一种基于输入信号符号回归量的样条自适应滤波(SAF)算法。该算法称为SR-SAF归一化最小均方差(SR-SAF- nlms)。通过$L_{1}$-范数约束建立SR-SAF-NLMS。该算法利用输入信号的极性来调整权重系数和控制点向量。因此，大大降低了计算复杂度，特别是乘法次数。此外，SR-SAF-NLMS的性能接近传统SAF-NLMS。通过不同场景下的仿真结果验证了该算法的良好性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Scientia Iranica 工程技术-工程：综合

CiteScore

2.90

自引率

7.10%

发文量

审稿时长

2 months

期刊介绍： The objectives of Scientia Iranica are two-fold. The first is to provide a forum for the presentation of original works by scientists and engineers from around the world. The second is to open an effective channel to enhance the level of communication between scientists and engineers and the exchange of state-of-the-art research and ideas. The scope of the journal is broad and multidisciplinary in technical sciences and engineering. It encompasses theoretical and experimental research. Specific areas include but not limited to chemistry, chemical engineering, civil engineering, control and computer engineering, electrical engineering, material, manufacturing and industrial management, mathematics, mechanical engineering, nuclear engineering, petroleum engineering, physics, nanotechnology.