Title :
Reconstruction of signals from their linear mapping image
Author :
Cadzow, James A.
Author_Institution :
Virginia Polytechnic Institute & State University, Blacksburg, VA
Abstract :
Many signal processing problems can be formulated as that of reconstructing a signal given an observed linear mapping (or transformation) of that signal. As an example, the extrapolation of a time-truncated version of a band-limited signal may be so characterized. More specifically, we shall herein consider the task of reconstructing a signal x, which lies in a prespecified closed subspace of a Hilbert space, and, in which the only information available is the linear mapping y = Lx of that signal. This reconstruction will be implemented by means of an algorithmic procedure. Necessary and sufficient conditions which ensure the algorithm´s convergence are presented.
Keywords :
Convergence; Extrapolation; Hilbert space; Image reconstruction; Signal generators; Signal mapping; Signal processing; Signal processing algorithms; Signal reconstruction; Sufficient conditions;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '78.
DOI :
10.1109/ICASSP.1978.1170582