Multi-Resolution Processing for Random Vibration Control

1997 ◽  
Vol 40 (1) ◽  
pp. 35-40
Author(s):  
A. Karshenas ◽  
M. Dunnigan ◽  
B. Williams ◽  
J. Goodfollow
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Vibration Control ◽  
Frequency Domain ◽  
Random Vibration ◽  
Digital Signal ◽  
Vibration Test ◽  
Octave Band ◽  
Self Tuning

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.

scholarly journals Estimation of Length and Order of Polynomial-based Filter Implemented in the Form of Farrow Structure

2016 ◽  
Vol 6 (4) ◽  
pp. 1099-1102
Author(s):  
S. Vukotic ◽  
D. Babic
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Frequency Domain ◽  
Digital Signal ◽  
Design Parameters ◽  
Basic Design ◽  
Farrow Structure ◽  
Interpolation Filters ◽  
Two Parameters ◽  
Domain Performance

Digital polynomial-based interpolation filters implemented using the Farrow structure are used in Digital Signal Processing (DSP) to calculate the signal between its discrete samples. The two basic design parameters for these filters are number of polynomial-segments defining the finite length of impulse response, and order of polynomials in each polynomial segment. The complexity of the implementation structure and the frequency domain performance depend on these two parameters. This contribution presents estimation formulae for length and polynomial order of polynomial-based filters for various types of requirements including attenuation in stopband, width of transitions band, deviation in passband, weighting in passband/stopband.

Digital Signal Processing

2009 ◽  
pp. 53-68
Author(s):  
Terrence D. Lagerlund
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Frequency Domain ◽  
Time Domain ◽  
Clinical Neurophysiology ◽  
Digital Signal ◽  
Digital Filtering ◽  
Digital Processing ◽  
Domain Analysis ◽  
Frequency Domain Analysis

This chapter reviews the principles of digitization, the design of digitally based instruments for clinical neurophysiology, and several common uses of digital processing, including averaging, digital filtering, and some types of time-domain and frequency-domain analysis. An understanding of these principles is necessary to select and use digitally based instruments appropriately and to understand their unique features.

scholarly journals A Method for Implementing Force-Limited Vibration Control

1997 ◽  
Vol 40 (4) ◽  
pp. 34-41
Author(s):  
Daniel Worth
Keyword(s):  
Signal Processing ◽  
Vibration Control ◽  
Random Vibration ◽  
Digital Signal ◽  
Test Procedures ◽  
Control Techniques ◽  
Nasa Goddard Space ◽  
Acceleration Signal ◽  
Goddard Space Flight Center ◽  
Computer Based

NASA/Goddard Space Flight Center (NASA/GSFC) has implemented force-limited vibration control on a controller which can only accept one profile. The method uses a personal computer-based digital signal processing board to convert force and/or moment signals into what appears to be an acceleration signal to the controller. This technique allows test centers with older controllers to use the latest force-limited control techniques for random vibration testing. The paper describes the method, hardware, and test procedures used. An example from a test performed at NASA/GSFC is used as a guide.

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