DocumentCode
417415
Title
Can timing jitter improve random process reconstruction in presence of aliasing?
Author
Lacaze, B. ; Mailhes, C.
Author_Institution
IRIT - TeSA, ENSEEIHT, Toulouse, France
Volume
2
fYear
2004
fDate
17-21 May 2004
Abstract
In the case of uniform sampling, when the Nyquist condition is fulfilled, exact reconstruction of the time-continuous process can be achieved based on the observation of the samples. When the Nyquist condition is not fulfilled, the linear minimum mean square estimator (LMMSE) of the time-continuous process can be derived. It is shown that in some cases, surprisingly, unobserved timing jitter can improve the quality of the LMMSE.
Keywords
Nyquist criterion; least mean squares methods; parameter estimation; signal reconstruction; signal sampling; timing jitter; MMSE; Nyquist condition; aliasing; digital signal processing; digitized signals; linear minimum mean square estimator; random process reconstruction; time-continuous process reconstruction; timing jitter; uniform sampling; Digital signal processing; Frequency; Interpolation; Mean square error methods; Nonuniform sampling; Random processes; Sampling methods; Signal analysis; Signal sampling; Timing jitter;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8484-9
Type
conf
DOI
10.1109/ICASSP.2004.1326321
Filename
1326321
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