Steady-state mean-square error analysis of regularized normalized subband adaptive filters

被引：26
|
作者：
Ni, Jingen [1 ]
Chen, Xiaoping [1 ]
机构：
[1] Soochow Univ, Sch Elect & Informat Engn, Suzhou 215006, Peoples R China
来源：
SIGNAL PROCESSING | 2013年 / 93卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Mean-square error; Normalized subband adaptive filter; Regularization; ALGORITHM; DEVIATION;
D O I：
10.1016/j.sigpro.2013.03.030
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The normalized subband adaptive filter (NSAF) has faster convergence rate than the normalized least-mean-square (NLMS) algorithm for colored input signals. Regularization of the NSAF is of importance in practical applications. In this paper, we analyze the steady-state mean-square error (MSE) of regularized NSAFs. The analysis is carried out based on the derivation of a variable regularization matrix NSAF (VRM-NSAF). Theoretical expressions for the steady-state MSE of two regularized NSAFs are derived under some assumptions. Simulation results are given to support the theoretical analysis. (c) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码：2648 / 2652
页数：5
相关论文
共 50 条
  • [21] DYNAMIC CONTROL OF ADAPTIVE FILTERS CONVERGENCE MINIMIZING MEAN-SQUARE ERROR
    BELINSKII, VT
    KONSTANTINOVSKII, AG
    KUDINOV, AV
    [J]. IZVESTIYA VYSSHIKH UCHEBNYKH ZAVEDENII RADIOELEKTRONIKA, 1980, 23 (04): : 101 - 103
  • [22] Steady-State Mean-Square Error Analysis for Adaptive Joint Process Filter Using Pipelined Feedforward Second-Order Volterra Architecture
    Liu, Qianqian
    He, Yigang
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2022, 69 (03) : 1957 - 1961
  • [23] Mean-square error analysis of a non-uniform subband adaptive filtering structure with critical sampling
    Petraglia, Mariane R.
    Batalheiro, Paulo B.
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PTS 1-3, PROCEEDINGS, 2007, : 1333 - +
  • [24] Adaptive modulation based on steady-state mean square error for underwater acoustic communication
    Zhiyong Liu
    Zhoumei Tan
    Fan Bai
    [J]. EURASIP Journal on Wireless Communications and Networking, 2021
  • [25] Adaptive modulation based on steady-state mean square error for underwater acoustic communication
    Liu, Zhiyong
    Tan, Zhoumei
    Bai, Fan
    [J]. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2021, 2021 (01)
  • [26] Steady-state mean-square error analysis of the cross-correlation and constant modulus algorithm in a MIMO convolutive system
    Luo, Y
    Chambers, JA
    [J]. IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING, 2002, 149 (04): : 196 - 203
  • [27] Adaptive regularisation for normalised subband adaptive filter: mean-square performance analysis approach
    Shin, JaeWook
    Yoo, JinWoo
    Park, PooGyeon
    [J]. IET SIGNAL PROCESSING, 2018, 12 (09) : 1146 - 1153
  • [28] Steady-state mean-square performance analysis of the block-sparse maximum Versoria criterion
    Su, Ben-Xue
    Wu, Fei-Yun
    Yang, Kun-De
    Tian, Tian
    Ni, Yi-Yang
    [J]. SIGNAL PROCESSING, 2023, 213
  • [29] Steady-state analysis of a subband adaptive algorithm with critical sampling
    Petraglia, MR
    Vasconcellos, RTB
    [J]. 2002 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL V, PROCEEDINGS, 2002, : 345 - 348
  • [30] Mean-Square Deviation Analysis of Multiband-Structured Subband Adaptive Filter Algorithm
    Jeong, Jae Jin
    Kim, Seung Hun
    Koo, Gyogwon
    Kim, Sang Woo
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2016, 64 (04) : 985 - 994
12345