Title :
Improved Papoulis-Gerchberg algorithm for restoring lost samples
Author :
Hsu, Chau-Yun ; Lo, Tsung-Ming
Author_Institution :
Inst. of Commun. Eng., Tatung Univ., Taipei
Abstract :
The iterative algorithm of Papoulis-Gerchberg is famous for solving the lost samples recovery problem, however, is usually slowly convergent. In this paper, we propose an efficient approach for restoring lost samples with a preprocess for meeting boundary conditions in the iteration method. The simulation indicates the mean square error (MSE) of the recovery and the convergence rate with the preprocess concept is much better and faster than that without preprocess concept. The improved scheme can also be applied to other cases of signal restoration, which admit Cadzow ´s iterative processing method
Keywords :
iterative methods; mean square error methods; signal restoration; Papoulis-Gerchberg algorithm; iterative processing method; lost sample restoration; mean square error; signal restoration; Bandwidth; Discrete Fourier transforms; Fourier transforms; Frequency domain analysis; Iterative algorithms; Iterative methods; Mean square error methods; Signal processing; Signal processing algorithms; Signal restoration;
Conference_Titel :
Signal Processing and Information Technology, 2005. Proceedings of the Fifth IEEE International Symposium on
Conference_Location :
Athens
Print_ISBN :
0-7803-9313-9
DOI :
10.1109/ISSPIT.2005.1577186
