DocumentCode :
3131095
Title :
Optimal signal reconstruction from spectral amplitude
Author :
Shapiro, Yossi ; Porat, Moshe
Author_Institution :
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
Volume :
2
fYear :
1997
fDate :
2-4 Jul 1997
Firstpage :
773
Abstract :
The iterative algorithm for signal reconstruction from spectral amplitude is investigated. The MSE is used for indication of the convergence rate, and the characteristics of signals most efficiently reconstructed by the iterative algorithm are presented. It is concluded that signals of geometric form are most efficiently reconstructed by the algorithm. Unlike recent reports on optimal phase-only representation, in the case of amplitude-only reconstruction, signals of symmetric form have good convergence characteristics as well. The results provide a new insight into the analysis of different methods for reconstructing signals from their spectral transform
Keywords :
approximation theory; convergence of numerical methods; iterative methods; optimisation; signal reconstruction; spectral analysis; MSE; amplitude-only reconstruction; convergence rate; geometric form signals; iterative algorithm; mean square error; optimal signal reconstruction; spectral amplitude; spectral transform; symmetric form signals; Convergence; Electron microscopy; Frequency domain analysis; Image reconstruction; Iterative algorithms; Optical microscopy; Signal analysis; Signal processing; Signal processing algorithms; Signal reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on
Conference_Location :
Santorini
Print_ISBN :
0-7803-4137-6
Type :
conf
DOI :
10.1109/ICDSP.1997.628466
Filename :
628466
Link To Document :
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