Paper
25 November 1987 Real Time Iterative Algorithms For Optical Signal Processing
Stephen T. Welstead
Author Affiliations +
Abstract
Implementation of iterative algorithms in a real time signal processing environment is described An this paper. The implementation considered here differs from the usual application of these algorithms in that the data flow is allowed to drive the iterations, providing effective real time performance. The particular signal processing application addressed is adaptive noise cancellation. We allow the data flow to continuously update the noise minimization problem, introducing perturbations in the problem. A perturbation analysis is given for the steepest descent algorithm. Numerical results are given for the steepest descent and conjugate gradient algorithms showing how the solution responds to perturbations in the data. An architecture is proposed for the steepest descent algorithm in a real time adaptive acousto-optic noise canceller.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen T. Welstead "Real Time Iterative Algorithms For Optical Signal Processing", Proc. SPIE 0827, Real-Time Signal Processing X, (25 November 1987); https://doi.org/10.1117/12.942056
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Cited by 2 scholarly publications.
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KEYWORDS
Signal processing

Antennas

Interference (communication)

Acousto-optics

Radon

Optical signal processing

Matrices

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