A Mathematical Model for Determining the Type of Signal Modulation in a Digital Receiver with Autocorrelation Processing

2021 ◽  
Author(s):  
Nguyen Trong Nhan ◽  
Alexey S. Podstrigaev ◽  
Tran Huu Nghi
Keyword(s):  
Mathematical Model ◽  
Digital Receiver ◽  
Signal Modulation

scholarly journals Cumulative features for determining the type of signal manipulation

2020 ◽  
Vol 12 (3) ◽  
pp. 319-328
Author(s):  
Vagid K. Kurbanaliev ◽  
Keyword(s):  
Neural Networks ◽  
Mathematical Model ◽  
Artificial Neural Networks ◽  
Phase Shift ◽  
Signal Modulation ◽  
Pulse Modulation ◽  
Matlab Simulink ◽  
Artificial Neural ◽  
Cumulant Analysis

This paper describes the apparatus of cumulant analysis in relation to the problem of recognizing the types of signal modulation. The article presents the results of using artificial neural networks in the task of automating the detection of intra-pulse modulation signs for the identification (classification) of signals. A mathematical model of a phase-shift keyed signal is developed, the main properties of this type of signals are described and a method is proposed that allows one to determine the type of signal manipulation based on the calculation of informative (cumulative) features. Simulation was carried out in Matlab/Simulink.

Mathematical model of hit phenomena and its application to movie advertisement

2008 ◽  
Author(s):  
Ishii Akira ◽  
Yoshida Narihiko ◽  
Hayashi Takafumi ◽  
Umemura Sanae ◽  
Nakagawa Takeshi
Keyword(s):  
Mathematical Model

Imprecision of Laboratory Determinations and Diagnostic Accuracy: Theoretical Considerations

1974 ◽  
Vol 13 (03) ◽  
pp. 151-158 ◽  
Author(s):  
D. A. B. Lindbebo ◽  
Fr. R. Watson
Keyword(s):  
Mathematical Model ◽  
Diagnostic Accuracy ◽  
Diagnostic Process ◽  
Clinical Laboratories ◽  
Non Linear ◽  
Theoretical Considerations ◽  
Made In

Recent studies suggest the determinations of clinical laboratories must be made more precise than at present. This paper presents a means of examining benefits of improvement in precision. To do this we use a mathematical model of the effect upon the diagnostic process of imprecision in measurements and the influence upon these two of Importance of Diagnosis and Prevalence of Disease. The interaction of these effects is grossly non-linear. There is therefore no proper intuitive answer to questions involving these matters. The effects can always, however, be calculated.Including a great many assumptions the modeling suggests that improvements in precision of any determination ought probably to be made in hospital rather than screening laboratories, unless Importance of Diagnosis is extremely high.

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