Computer Modelling of Two-level Digital Frequency Synthesizer with Poisson Probability Distribution of Output Pulses-Reference-Cited by-同舟云学术

Computer Modelling of Two-level Digital Frequency Synthesizer with Poisson Probability Distribution of Output Pulses

Published:2020-04-01 Issue:2 Volume:20 Page:65-72
ISSN:1335-8871
Container-title:Measurement Science Review
language:en
Short-container-title:

Author:

Wang Jinfei¹,Przystupa Krzysztof²,Maksymovych Volodymyr³,Stakhiv Roman³,Kochan Orest³⁴

Affiliation:

1. School of Mechanical Engineering , Northwestern Polytechnical University , 127 Youyi Ave. West, Xi’an 710072, China

2. Faculty of Mechanical Engineering , Technical University of Lublin , Lublin , Poland

3. Institute of Computer Technologies, Automation and Metrology , Lviv Polytechnic National University , Lviv , Ukraine

4. School of Computer Science , Hubei University of Technology , Wuhan , China

Abstract

Abstract The article presents the modified structure of the two-level digital frequency synthesizer (TLDFS), which combines the properties of classical digital frequency synthesizers (DFS) and Poisson pulse sequence generators (PPSG). The analysis of the statistical characteristics of synthesizer output signal, obtained in computer modelling with the use of appropriate software, has been carried out, which allowed determining the effective range of values of its control codes. The proposed generators can be effectively used to simulate various natural and technical processes, in particular, to simulate the output signals of dosimetric detectors during the design, adjustment and testing of dosimetric devices.

Publisher

Walter de Gruyter GmbH

Subject

Instrumentation,Biomedical Engineering,Control and Systems Engineering

Link

https://www.sciendo.com/pdf/10.2478/msr-2020-0009

Reference36 articles.

1. [1] Webster, J.G. (1998). The Measurement, Instrumentation and Sensors Handbook. CRC Press.10.1201/9781003040019

2. [2] Northrop, R.B. (2018). Introduction to Instrumentation and Measurements. CRC Press.10.1201/9781315275239

3. [3] Glowacz, A. (2019). Fault diagnosis of single-phase induction motor based on acoustic signals. Mechanical Systems and Signal Processing, 117, 65-80.10.1016/j.ymssp.2018.07.044

4. [4] Zhang, Y., Chen, B., Pan, G., Zhao, Y. (2019). A novel hybrid model based on VMD-WT and PCABPRBF neural network for short-term wind speed forecasting. Energy Conversion and Management, 195, 180-197.10.1016/j.enconman.2019.05.005

5. [5] Przystupa, K. (2019). The methods analysis of hazards and product defects in food processing. Czech Journal of Food Sciences, 37 (1), 44-50.10.17221/44/2018-CJFS

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of Modified Blum-Blum-Shub Pseudorandom Sequence Generator and its Use in Education;Measurement Science Review;2022-04-22

2. A New Approach to the Development of Additive Fibonacci Generators Based on Prime Numbers;Electronics;2021-11-24