Abstract
The authors propose a stabilized method for limited angle reconstruction. The algorithm provides a framework that makes it possible to incorporate prior information and to account for the noise; this framework is the reason for the method's stability. The method entails the following steps: 1) a space of reconstruction solutions is generated, either analytically or by Monte Carlo simulation; 2) representatives of the solutions are found by clustering the solution space; and 3) these representatives are scored, using the a priori information, to define the final solution. Simulation results are presented for a simple 1-D deconvolution problem.
Original language | English |
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Pages (from-to) | 1516-1519 |
Number of pages | 4 |
Journal | Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing |
Volume | 3 |
State | Published - 1989 |
Externally published | Yes |
Event | 1989 International Conference on Acoustics, Speech, and Signal Processing - Glasgow, Scotland Duration: 23 May 1989 → 26 May 1989 |