JOURNAL ARTICLE

An adaptive, high-order, notch filter using all pass sections

Abstract

A fully adaptive infinite impulse response notch filter in cascade form is proposed to detect and track multiple time-varying frequencies in additive white noise. Based on transformations for digital filters in the frequency domain, the filter results in a minimal number of parameters. In addition, a simple adaptive algorithm with good tracking and convergence properties is obtained by using all-pass filters and truncating the gradient. Computer simulations are included to verify the competitive performance of this filter under a wide range of conditions. From this analysis, we conclude that our new design is computationally simple, achieves rapid convergence, and is consequently a good choice in many non-stationary environments.

Keywords:
Adaptive filter Band-stop filter Computer science Cascade Digital filter Finite impulse response Filter design Infinite impulse response Filter (signal processing) Control theory (sociology) Low-pass filter Kernel adaptive filter Impulse response Convergence (economics) Algorithm Frequency domain High-pass filter White noise Mathematics Artificial intelligence Computer vision Engineering Telecommunications

Metrics

5
Cited By
0.44
FWCI (Field Weighted Citation Impact)
14
Refs
0.67
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Adaptive Filtering Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing

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