Local Wavelet Decomposition and its Application to face Reconstruction

1999 ◽  
pp. 184-189
Author(s):  
N. A. Borghese ◽  
S. Ferrari ◽  
V. Piuri
Keyword(s):  
Wavelet Decomposition ◽  
Face Reconstruction

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

Nonconvex Rank Relaxations based Matrix Regression for Face Reconstruction and Recognition

2020 ◽  
Author(s):  
Hengmin Zhang ◽  
Wenli Du ◽  
Zhongmei Li ◽  
Xiaoqian Liu ◽  
Jian Long ◽  
...  
Keyword(s):  
Face Reconstruction

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.

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