scholarly journals Precise digital demodulation for fiber optic interferometer sensors

2016 ◽  
Vol 41 ◽  
pp. 1660139
Author(s):  
Andrei Medvedev ◽  
Andrei Berezhnoi ◽  
Aleksei Kudryashov ◽  
Leonid Liokumovich
Keyword(s):  
Phase Modulation ◽  
Fiber Optic ◽  
Digital Signal ◽  
Signal Extraction ◽  
Programming Environment ◽  
Trigonometric Functions ◽  
Harmonic Phase ◽  
Signal Demodulation ◽  
Digital Demodulation ◽  
Inverse Trigonometric Functions

Different methods are used in the interferometer sensors for target signal extraction. Digital technologies provide new opportunities for precise signal detection. We have developed the principle of signal demodulation using an additional harmonic phase modulation and digital signal processing. The principle allows implementation of processing algorithms using different ratios between modulation and discretization frequencies. The expressions allowing calculation of the phase difference using the inverse trigonometric functions were derived. The method was realized in LabVIEW programming environment and was demonstrated for various signal shapes.

scholarly journals The chaotic masking message model using orthogonal functions

2020 ◽  
pp. 67-76
Author(s):  
Svetlana Belim ◽  
◽  
Sergei Belim ◽  
Keyword(s):  
White Noise ◽  
Computer Experiment ◽  
Digital Signal ◽  
Chaotic Signal ◽  
Noise Amplitude ◽  
Trigonometric Functions ◽  
Orthogonal Functions ◽  
Lagrange Polynomials ◽  
Useful Signal ◽  
Orthogonal Property

The model for chaotic signal masking is proposed in the article. The digital signal in the bit representation is encoded using a family of orthogonal functions. Random white noise is superimposed on the resulting analog signal. The white noise amplitude is significantly greater than the amplitude of the signal. The functions orthogonal property is used to retrieve a useful signal. The advantage proposed this model is that it is not necessary to match the noise generators in the source and in the receiver of the message. The integration operation is required to retrieve the message. The using a simple rectangle scheme is discussed. The comparative computer experiment is based on two families of orthogonal functions: simple trigonometric functions and orthogonal Lagrange polynomials. It has been shown that using the trigonometric function family results in fewer errors when retrieving a message.

scholarly journals Visualization and Simulation in Scheduling

10.14311/977 ◽  
2008 ◽  
Vol 48 (3) ◽  
Author(s):  
R. Čapek
Keyword(s):  
Signal Processing ◽  
Virtual Reality ◽  
Digital Signal Processing ◽  
Production Line ◽  
Digital Signal ◽  
Programming Environment ◽  
Gantt Chart ◽  
Time Scheduling ◽  
Visualization And Simulation ◽  
Matlab Programming

This paper deals with the representation of scheduling results and it introduces a new tool for visualization and simulation in time scheduling called VISIS. The purpose of this tool is to provide an environment for visualization, e.g. in production line scheduling. The simulation also proposes a way to simulate the influence of a schedule on a user defined system, e.g. for designing filters in digital signal processing. VISIS arises from representing scheduling results using the well-known Gantt chart. The application is implemented in the Matlab programming environment using Simulink and the Virtual Reality toolbox. 

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