Cohen class time-frequency mapping in the analysis of the non-stationary parameters of a wave gaussian beam at the atmospheric path output

2018 ◽  
Author(s):  
Arkadiy Blank ◽  
Tatiana Arsenyan ◽  
Eugene Babanin ◽  
Natalia Suhareva ◽  
Rinat Stryungis
Keyword(s):  
Gaussian Beam ◽  
Time Frequency ◽  
Class Time ◽  
Atmospheric Path ◽  
Cohen Class ◽  
Time Frequency Mapping

Enhanced Cohen class time–frequency methods based on a structure tensor analysis: Applications to ISAR processing

2013 ◽  
Vol 93 (7) ◽  
pp. 1813-1830 ◽  
Author(s):  
Vincent Corretja ◽  
Eric Grivel ◽  
Yannick Berthoumieu ◽  
Jean-Michel Quellec ◽  
Thierry Sfez ◽  
...  
Keyword(s):  
Structure Tensor ◽  
Tensor Analysis ◽  
Time Frequency ◽  
Class Time ◽  
Cohen Class

scholarly journals Time-frequency mapping of the positional characteristics of single- and multimode wave beam at the lengthy atmospheric path output

2017 ◽  
Vol 161 ◽  
pp. 02003
Author(s):  
Tatiana Arsenyan ◽  
Eugeniy Babanin ◽  
Vitaliy Kapranov ◽  
Rinat Stryungis ◽  
Natalia Suhareva ◽  
...  
Keyword(s):  
Wave Beam ◽  
Time Frequency ◽  
Atmospheric Path ◽  
Time Frequency Mapping

scholarly journals Time-frequency mapping of the rhythmic limb movements distinguishes convulsive epileptic from psychogenic nonepileptic seizures

Epilepsia ◽  
2013 ◽  
Vol 54 (8) ◽  
pp. 1402-1408 ◽  
Author(s):  
Jade Bayly ◽  
John Carino ◽  
Slavé Petrovski ◽  
Michelle Smit ◽  
Dilini A. Fernando ◽  
...  
Keyword(s):  
Limb Movements ◽  
Psychogenic Nonepileptic Seizures ◽  
Time Frequency ◽  
Nonepileptic Seizures ◽  
Time Frequency Mapping

scholarly journals Cohen’s Class Time-Frequency Distributions for Measurement Signals as a Means of Monitoring Technological Processes

2019 ◽  
Vol 49 (4) ◽  
pp. 252-256
Author(s):  
D. B. Fedosenkov ◽  
A. A. Simikova ◽  
S. M. Kulakov ◽  
B. A. Fedosenkov
Keyword(s):  
Frequency Distributions ◽  
Time Frequency ◽  
Technological Processes ◽  
Class Time ◽  
Cohen's Class

Pseudo Cohen Time-Frequency Distributions in Infinite Variance Noise Environment

2013 ◽  
Vol 475-476 ◽  
pp. 253-258
Author(s):  
Hai Bin Wang ◽  
Jun Bo Long ◽  
Dai Feng Zha
Keyword(s):  
Order Statistic ◽  
Stable Distribution ◽  
Impulsive Noise ◽  
Infinite Variance ◽  
Frequency Distributions ◽  
Time Frequency ◽  
Noise Environment ◽  
Class Distribution ◽  
Cohen Class ◽  
Low Order

stable distribution has been suggested as a more appropriate model in impulsive noise environment.The performance of conventional time-frequency distributions (TFDs) degenerate in stable distribution noise environment. Hence, three improved methods are proposed based on Fractional Low Order statistics, Fractional Low Order Wigner-Ville Distribution (FLO-WVD), Fractional Low Order Statistic pseudo Wigner-Ville Distribution (FLO-PWVD), Fractional Low Order Statistic Cohen class distribution (FLO-Cohen). In order for real-time, on-line operation and fairly long signals processing, a new smoothed pseudo Fractional Low Order Cohen class distribution (PFLO-Cohen) is proposed.Simulations show that the methods demonstrate the advantages in this paper, are robust.

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