On Complex Delay Time of a Narrow-Band Signal Passing through a Resonant Filter

2005 ◽  
Vol 48 (8) ◽  
pp. 631-638 ◽  
Author(s):  
N. S. Bukhman
Keyword(s):  
Delay Time ◽  
Narrow Band ◽  
Band Signal

scholarly journals Improvement of description of finding out a narrow-band signal with a hindrance in frequency

2011 ◽  
Vol 1 (27) ◽  
Author(s):  
В.М. Шутко ◽  
Ю.М. Барабанов ◽  
C.Л. Квасюк
Keyword(s):  
Narrow Band ◽  
Band Signal

Masked discrimination of interaural time delays with narrow‐band signal

1982 ◽  
Vol 72 (6) ◽  
pp. 1821-1826 ◽  
Author(s):  
Yoshiko Ito ◽  
H. Steven Colburn ◽  
Carl L. Thompson
Keyword(s):  
Time Delays ◽  
Narrow Band ◽  
Band Signal

scholarly journals Variational Specific Mode Extraction: A Novel Method for Defect Signal Detection of Ferromagnetic Pipeline

Algorithms ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 105
Author(s):  
Haiyang Ju ◽  
Xinhua Wang ◽  
Yizhen Zhao
Keyword(s):  
Magnetic Anomaly ◽  
Narrow Band ◽  
Wide Band ◽  
Signal Processing Algorithm ◽  
Specific Mode ◽  
Mode Decomposition ◽  
Alternating Direction ◽  
Mode Extraction ◽  
Band Signal ◽  
Defect Signal

The non-contact detection of buried ferromagnetic pipeline is a long-standing problem in the field of inspection of outside pipelines, and the extraction of magnetic anomaly signal is a prerequisite for accurate detection. Pipeline defects can cause the fluctuation of magnetic signals, which are easily submerged in wide-band background noise without external excitation sources. Previously, Variational Mode Decomposition (VMD) was used to separate modal components; however, VMD is based on narrow-band signal processing algorithm and the calculation is complex. In this article, a method of pipeline defect signal based on Variational Specific Mode Extraction (VSME) is employed to extract the signal of a specific central frequency by signal modal decomposition, i.e., the specific mode is weak magnetic anomaly signal of pipeline defects. VSME is based on the fact that a wide-band signal can be converted into a narrow-band signal by demodulation method. Furthermore, the problem of wide-band signal decomposition is expressed as an optimal demodulation problem, which can be solved by alternating direction method of multipliers. The proposed algorithm is verified by artificially synthesized signals, and its performance is better than that of VMD. The results showed that the VSME method can extract the magnetic anomaly signal of pipeline damage using experimental data, while obtaining a better accuracy.

Frequency domain of weakly translation invariant frame MRAs

2021 ◽  
Author(s):  
Zhihua Zhang
Keyword(s):  
Signal Processing ◽  
Data Analysis ◽  
Frequency Domain ◽  
Scaling Function ◽  
Narrow Band ◽  
Scaling Functions ◽  
Translation Invariant ◽  
Frequency Domains ◽  
Band Signal

Frequency domain of bandlimited frame multiresolution analyses (MRAs) plays a key role when derived framelets are applied into narrow-band signal processing and data analysis. In this study, we give a characterization of frequency domain of weakly translation invariant frame scaling functions [Formula: see text] with frequency domain [Formula: see text]. Based on it, we further study convex and ball-shaped frequency domains. If frequency domain of bandlimited frame scaling function [Formula: see text] is convex and completely symmetric about the origin, then it must be weakly invariant and [Formula: see text]. If [Formula: see text] has a ball-shaped frequency domain, the ball radius must be bounded by [Formula: see text]. These frequency domain characters are owned uniquely by frame scaling functions and not by orthogonal scaling functions.

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