DocumentCode
3061480
Title
The wavelet reconstructed with phase-only and a study of its uniqueness
Author
Chang, Tong ; Li, Yenta ; Wu, Zhongze
Author_Institution
Qinghua University, Beijing People´´s Republic of China
Volume
8
fYear
1983
fDate
30407
Firstpage
997
Lastpage
1000
Abstract
In this paper, what can the phass function do in wavelet estimation is mainly concerned, the concept of wave-form unigueness in deconvolution of seismic traces has been discussed. Under this conception, mixed-phase wavelets can be classified into three types. Based on the theorem of uniqueness of a sequence with a phase function by M.H.Hayes et al. and with some extensions, two types of wavelets have been reconstructed from its phase using zero-perturbation relaxed iterative algorithm. A new criterion function Sp which judges the convergence of iteration and a new criterion of classification are also presented. Several examples of mixed-phase wavelet reconstruction from its phase are provided.
Keywords
Autocorrelation; Automation; Convergence; Deconvolution; Frequency; Iterative algorithms; Phase estimation; Propagation delay; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '83.
Type
conf
DOI
10.1109/ICASSP.1983.1171952
Filename
1171952
Link To Document