Paper
6 July 1994 Comparison of point source algorithms for optimum acquisition range of electro-optical sensor
Uma S. Jha
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Abstract
This paper examines a special class of signal processing technique called Minimum Variance Deconvolution (MVD) method and compares it with the commonly used Matched filtering and Wiener filtering based deconvolution processing in point source acquisition signal processing applications for Electro-Optical sensors. A step by step development of the batch and recursive MVD algorithm including comparison with the competing methods are presented in this paper.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Uma S. Jha "Comparison of point source algorithms for optimum acquisition range of electro-optical sensor", Proc. SPIE 2235, Signal and Data Processing of Small Targets 1994, (6 July 1994); https://doi.org/10.1117/12.179072
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KEYWORDS
Filtering (signal processing)

Electronic filtering

Signal to noise ratio

Signal processing

Deconvolution

Digital filtering

Electro optical sensors

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