Research of Acoustic Signals Digital Processing Methods Application Efficiency for the Electromechanical System Functional Diagnostics

Author(s):  
Hanna Rudakova ◽  
Oksana Polyvoda ◽  
Inna Kondratieva ◽  
Vladyslav Polyvoda ◽  
Antonina Rudakova ◽  
...  
Vestnik MEI ◽  
2019 ◽  
Vol 3 (3) ◽  
pp. 98-107
Author(s):  
Sergey V. Vishnyakov ◽  
◽  
Elizaveta A. Sokolova ◽  
Vitaliy V. Pekhterev ◽  
◽  
...  

2000 ◽  
Vol 49 (4) ◽  
pp. 233-238 ◽  
Author(s):  
Rieko MATSUDA ◽  
Yuzuru HAYASHI ◽  
Chikako YOMOTA ◽  
Yoko TAGASHIRA ◽  
Mari KATSUMINE ◽  
...  

1988 ◽  
Vol 3 (3) ◽  
pp. 267-291
Author(s):  
E.M. Jafarov ◽  
R. Kachinski ◽  
A. Novoselski ◽  
K.K. Guseynov ◽  
Kh. R. Ismatova ◽  
...  

2005 ◽  
Vol 76 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Robert S. Rempel ◽  
Keith A. Hobson ◽  
George Holborn ◽  
Steve L. Van Wilgenburg ◽  
Julie Elliott

1999 ◽  
Author(s):  
Bradley M. Hemminger ◽  
Elodia Cole ◽  
Shuquan Zong ◽  
Martin J. Yaffe ◽  
Stephen Aylward ◽  
...  

Author(s):  
Vidhya S. ◽  
Sharmila Nageswaran

This chapter introduces sleep, the pattern of sleep, wakefulness, disorders associated with sleep, diseases of heart and lungs that can be identified by analysing one's sleep. Sleep is generally equated to the neurological system and the brain. It is believed that sleep can be identified only with EEG. This chapter also explores the usage of EEG in detecting the disorders associated with sleep, and more emphasis is given to the bio signals other than EEG, which includes ECG, PPG, acoustic signals that can be used in understanding the sleep and its related disorders. It explains the biomedical devices that are used for sleep-related studies. This chapter explores the stages of sleep signal processing where the authors have suggested how to reduce noises at the stage of data acquisition. Further topics explore various signal processing methods that need to be adapted in various stages, namely preprocessing, filtering, feature extraction, validation, and automated processing.


1979 ◽  
Vol 49 ◽  
pp. 113-120
Author(s):  
B. G. Clark

The rapid growth, over the last two decades, of the amount of digital arithmetic capability available for a given cost is obvious to all, and is apparently not yet at an end. Therefore, any discussion of the best equipment and even of the best algorithms with which to attack a given problem will soon become obsolete as decreasing costs bring things previously considered inconceivable within economic feasibility. The general trend is that, as the cost of hardware decreases, the discussions of algorithms and procedures becomes simpler, as fewer approximations have to be made, and the mathematically simple correct formulae may be directly implemented.


2013 ◽  
Vol 18 (1) ◽  
pp. 5-14 ◽  
Author(s):  
Ireneusz Kubiak

Abstract The article contains information about the capabilities of electromagnetic infiltration process in case of occurrence of strong interfering signals. As a methods supporting infiltration process used method of digital processing of signals and images in the form of histogram transformations, global and local thresholding of signal amplitudes and logical filters. The material presented in the article shows that risk can arise if the uncontrolled use of the computer. Risks that could decide our safety and security of our data. obtained images. Manipulation of histograms, threshold amplitudes of the emission signal correlated with the classified signals or logical filters highlight the weakness of the security used at the source. The presence of strong interfering signals such as vertical and horizontal synchronization signals blocking measurement receivers, do not prevent the reproduction of classified information. Opportunities of the electromagnetic infiltration in situations of weak compromising emissions occurs are presented in the article.


Sign in / Sign up

Export Citation Format

Share Document