A robust algorithm for adaptive FIR filtering and its performance analysis with additive contaminated-Gaussian noise

Seung Chan Bang; Souguil Ann

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A robust algorithm for adaptive FIR filtering and its performance analysis with additive contaminated-Gaussian noise

机译：鲁棒的自适应FIR滤波算法及其附加加性高斯噪声的性能分析

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《IEEE Transactions on Circuits and Systems. 1》 |1996年第5期|共页
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Seung Chan Bang; Souguil Ann;
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专利

1. Performance analysis of the dual sign algorithm for additive contaminated-Gaussian noise [J] . Seung Chan Bang, Ann S. IEEE signal processing letters . 1994,第12期

机译：加性高斯噪声对偶算法的性能分析
2. Performance Analysis of LMS Adaptive FIR Filter and RLS Adaptive FIR Filter for Noise Cancellation [J] . Jyotsna Yadav, Mukesh Kumar, Rohini Saxena, Signal & Image Processing : An International Journal (SIPIJ) . 2013,第3期

机译：LMS自适应FIR滤波器和RLS自适应FIR滤波器消除噪声的性能分析
3. A Recursive Least M-Estimate Algorithm for Robust Adaptive Filtering in Impulsive Noise: Fast Algorithm and Convergence Performance Analysis [J] . Shing-Chow Chan, Yue-Xian Zou IEEE Transactions on Signal Processing . 2004,第4期

机译：脉冲噪声中鲁棒自适应滤波的递推最小M估计算法：快速算法和收敛性能分析
4. Performance analysis of the dual sign algorithm with contaminated-Gaussian noise [C] . Seung Chan Bang, Hong Sub Choi . 1994

机译：高斯噪声对偶符号算法的性能分析
5. PERFORMANCE OF FIR ADAPTIVE FILTERS USING RECURSIVE ALGORITHMS. [D] . HONIG, MICHAEL LATHAM. 1981

机译：使用递归算法的FIR自适应滤波器的性能。
6. Correction: Accuracy Maximization Analysis for Sensory-Perceptual Tasks: Computational Improvements, Filter Robustness, and Coding Advantages for Scaled Additive Noise [O] . 2018

机译：校正：感官任务的精度最大化分析：计算上的改进，滤波器的鲁棒性和成比例增加噪声的编码优势
7. Performance Analysis of LMS Adaptive FIR Filter and RLS Adaptive FIR Filter for Noise Cancellation [O] . Jyotsna Yadav, Mukesh Kumar, Rohini Saxena, 2013

机译：LMS自适应FIR滤波器和RLS自适应FIR滤波器消除噪声的性能分析
8. Performance and Robustness of Self-Tuning and Adaptive Algorithms forIdentification, Filtering and Control [R] . Kumar, P. R. 1995

机译：用于识别，过滤和控制的自校正和自适应算法的性能和稳健性

A robust algorithm for adaptive FIR filtering and its performance analysis with additive contaminated-Gaussian noise

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