Active sound and vibration control using adaptive digital signal processing

Author(s):  
L.J. Eriksson
1997 ◽  
Vol 40 (1) ◽  
pp. 35-40
Author(s):  
A. Karshenas ◽  
M. Dunnigan ◽  
B. Williams ◽  
J. Goodfollow

A typical vibration test for a specimen is to subject it to a specific spectrum of random vibration. This paper proposes multi-resolution processing using a "frequency domain self-tuning" algorithm for application to random vibration control. MATLAB programs simulate two-octave-band and three-octave-band processing for random vibration control. A PC-based, digital signal processing (DSP) board was used to implement two-octave processing. The simulation and practical results are presented.


2019 ◽  
pp. 34-39 ◽  
Author(s):  
E.I. Chernov ◽  
N.E. Sobolev ◽  
A.A. Bondarchuk ◽  
L.E. Aristarhova

The concept of hidden correlation of noise signals is introduced. The existence of a hidden correlation between narrowband noise signals isolated simultaneously from broadband band-limited noise is theoretically proved. A method for estimating the latent correlation of narrowband noise signals has been developed and experimentally investigated. As a result of the experiment, where a time frag ent of band-limited noise, the basis of which is shot noise, is used as the studied signal, it is established: when applying the Pearson criterion, there is practically no correlation between the signal at the Central frequency and the sum of signals at mirror frequencies; when applying the proposed method for the analysis of the same signals, a strong hidden correlation is found. The proposed method is useful for researchers, engineers and metrologists engaged in digital signal processing, as well as developers of measuring instruments using a new technology for isolating a useful signal from noise – the method of mirror noise images.


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