scholarly journals Wavelet decomposition of forced turbulence: Applicability of the iterative Donoho-Johnstone threshold

2012 ◽  
Vol 24 (2) ◽  
pp. 025102 ◽  
Author(s):  
Jesse W. Lord ◽  
Mark P. Rast ◽  
Christopher Mckinlay ◽  
John Clyne ◽  
Pablo D. Mininni
Keyword(s):  
Wavelet Decomposition ◽  
Forced Turbulence

IIR implementation of wavelet decomposition for digital signal analysis

1992 ◽  
Vol 28 (5) ◽  
pp. 513 ◽  
Author(s):  
F. Argenti ◽  
G. Benelli ◽  
A. Sciorpes
Keyword(s):  
Signal Analysis ◽  
Wavelet Decomposition ◽  
Digital Signal

scholarly journals Ensemble Pulsar Time Study by Pulsar Timing Observations

2004 ◽  
Vol 218 ◽  
pp. 439-440
Author(s):  
Tinggao Yang ◽  
Guangren Ni
Keyword(s):  
Time Scale ◽  
Wavelet Decomposition ◽  
Time Study ◽  
Millisecond Pulsar ◽  
Millisecond Pulsars ◽  
Pulsar Time ◽  
Pulsar Timing ◽  
Timing Data ◽  
Gravitational Wave Background

Long term timing of multiple millisecond pulsars can contribute to the study of an ensemble pulsar time scale PTens. A wavelet decomposition algorithm (WDA) was applied to define a PTens using the available millisecond pulsar timing datA. The PTens obtained from WDA is more stable than those resulting from other algorithms. The Chinese 50 m radio telescope is specially designed for PTens study and detection of gravitational wave background via millisecond pulsars timing observations. A scheme for multiple millisecond pulsar timing and ensemble pulsar time study is discussed in some detail.

Wavelet Decomposition of Hermite-Type Splines

2014 ◽  
Vol 43 (1) ◽  
pp. 131-138
Author(s):  
Thi Nhu Bich Le ◽  
Thi Minh Khai Nguyen
Keyword(s):  
Wavelet Decomposition

Time series forecasting based on wavelet decomposition and feature extraction

2016 ◽  
Vol 28 (S1) ◽  
pp. 183-195 ◽  
Author(s):  
Tianhong Liu ◽  
Haikun Wei ◽  
Chi Zhang ◽  
Kanjian Zhang
Keyword(s):  
Time Series ◽  
Feature Extraction ◽  
Wavelet Decomposition ◽  
Time Series Forecasting
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