Title :
Phase retrieval using the wavelet transform
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
The 1-D phase retrieval problem is to reconstruct a signal given the modulus of its Fourier transform. Conventional solution techniques approximate the solution by discretizing this continuous problem. Our solution obviates this approximation by employing basis functions to better represent a continuous signal. In particular, we use wavelet bases because they provide a structure which permits the use of a fast algorithm and because they incorporate a priori knowledge of the signal. This paper develops our algorithm and illustrates its effectiveness with numerical examples
Keywords :
Fourier transforms; signal reconstruction; signal representation; wavelet transforms; 1D phase retrieval problem; Fourier transform modulus; basis functions; continuous problem; continuous signal representation; fast algorithm; signal reconstruction; wavelet bases; wavelet transform; Autocorrelation; Continuous wavelet transforms; Discrete Fourier transforms; Discrete wavelet transforms; Filters; Fourier transforms; Integral equations; Linear systems; Signal synthesis; Wavelet transforms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.544133