ASC 830, IAS 21, Functional Currency and the Temporal Method of Remeasurement - a Critique

2021 ◽  
Author(s):  
David Perrins
Keyword(s):  
Ias 21 ◽  
Temporal Method

Features of the Application of IAS 21 “Impact of Exchange Rate Changes”

2021 ◽  
pp. 711-718
Author(s):  
Lyudmila A. Kryatova ◽  
Roza N. Nurgalieva ◽  
Renata I. Amirova ◽  
Anna A. Gamilovskaya ◽  
Elena V. Ivanova
Keyword(s):  
Exchange Rate ◽  
Exchange Rate Changes ◽  
Ias 21

A new temporal method for the identification of source directions in a reverberant hall

2006 ◽  
Vol 296 (3) ◽  
pp. 518-538 ◽  
Author(s):  
C. Noël ◽  
V. Planeau ◽  
D. Habault
Keyword(s):  
Temporal Method

Simplification of Space-Variant Parallel Logic Operations Using the Temporal Method

1997 ◽  
Vol 4 (2) ◽  
pp. 305-308
Author(s):  
Yoshio Hayasaki ◽  
Masahiko Mori ◽  
Toyohiko Yatagai ◽  
Nobuo Nishida
Keyword(s):  
Logic Operations ◽  
Space Variant ◽  
Temporal Method

Study on Reconstruction of EMP Signal Induced by Corona Discharge

2013 ◽  
Vol 303-306 ◽  
pp. 1005-1008
Author(s):  
Ting An ◽  
Xue Hua Jiang
Keyword(s):  
Corona Discharge ◽  
Background Noise ◽  
Processing Method ◽  
Small Signal ◽  
Wavelet Method ◽  
Advantages And Disadvantages ◽  
Simulated Signal ◽  
Mode Decomposition ◽  
Better Than ◽  
Temporal Method

In order to provide theoretical basis for studying the corona discharge problem deeply, this paper analyzed advantages and disadvantages of the wavelet method and the spatial and temporal method based on empirical mode decomposition (EMD). It combined the threshold technique of wavelet method and the EMD technique of spatial and temporal processing method, and then proposed the threshold processing method based on EMD. The paper used the three methods to analyze a simulated signal of corona discharge polluted by white noise, the results show that the signal-noise ratio of the paper’s method is biggest and the root mean square error of the paper’s method is smallest. It proves de-noising effects of the paper’s method are better than the other two methods. In the end, the paper reconstructed corona discharge signal submerged in strong background noise from actual corona discharge by the paper’s method, it proves the method can extract small signal from complex background noise.

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