Wavelet excited measurement of system transfer function

2007 ◽  
Vol 78 (2) ◽  
pp. 025104 ◽  
Author(s):  
H. Olkkonen ◽  
J. T. Olkkonen
Keyword(s):  
Transfer Function ◽  
System Transfer Function

scholarly journals Characterization of Raman Spectroscopy System Transfer Functions in Intensity, Wavelength, and Time

Instruments ◽  
2020 ◽  
Vol 4 (3) ◽  
pp. 22
Author(s):  
Yu-Chung Lin ◽  
Joseph V. Sinfield
Keyword(s):  
Transfer Function ◽  
Transfer Functions ◽  
Low Cost ◽  
Instrument Design ◽  
Spectroscopic Techniques ◽  
Measurement Science ◽  
Broad Array ◽  
Spectroscopy System ◽  
System Transfer Function

The emergence of a wide variety of relatively low-cost compact spectrometers has led to an increase in the use of spectroscopic techniques by researchers in a broad array of fields beyond those that have traditionally employed these analytical methods. While the fundamental elements and functions of Raman systems are generally consistent, the specific components that compose a system may vary in number, design, and configuration, and researchers often modify off-the-shelf spectrometers for unique applications. Understanding the effect of instrument design and components on acquired information is thus crucial and provides the prospect to optimize the system to individual needs and to properly compare results obtained with different systems while also reducing the potential for unintended misinterpretation of data. This paper provides a practical treatment of the influences in a typical compact spectroscopy system that can impact the extent to which the output of the system is representative of the observed environment, a relationship that in measurement science is classically termed the system transfer function. For clarity, the transfer function is developed in terms of traditional Raman output parameters, namely intensity, wavelength, and time.

scholarly journals Cardiac real‐time MRI using a pre‐emphasized spiral acquisition based on the gradient system transfer function

2020 ◽  
Author(s):  
Philipp Eirich ◽  
Tobias Wech ◽  
Julius F. Heidenreich ◽  
Manuel Stich ◽  
Nils Petri ◽  
...  
Keyword(s):  
Transfer Function ◽  
Real Time ◽  
Gradient System ◽  
Spiral Acquisition ◽  
System Transfer Function

Analysis of Disturbance Signals in Steel Rolling Process

2012 ◽  
Vol 490-495 ◽  
pp. 3065-3069
Author(s):  
Wei Yan ◽  
Jie Zhang ◽  
Ying Sheng Zhou
Keyword(s):  
Transfer Function ◽  
Control Systems ◽  
Output Signal ◽  
Closed Loop ◽  
Rolling Process ◽  
Closed Loop System ◽  
Steel Rolling ◽  
Input Signals ◽  
Low Pass ◽  
System Transfer Function

Many control systems are subject to extraneous disturbance signals that cause the system to provide an inaccurate output. The extraneous disturbance signals in steel rolling process are analysis in this paper. If the frequency spectrums of the noise and input signals are of a different character, the output signal-noise ratio can be maximized, often by simply designing a closed-loop system transfer function that has a low-pass frequency response.

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