Paper
12 May 2006 The mathematical theory of signal processing and compression-designs
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Abstract
The mathematical theory of signal processing, named processor coding, will be shown to inherently arise as the computational time dual of Shannon's mathematical theory of communication which is also known as source coding. Source coding is concerned with signal source memory space compression while processor coding deals with signal processor computational time compression. Their combination is named compression-designs and referred as Conde in short. A compelling and pedagogically appealing diagram will be discussed highlighting Conde's remarkable successful application to real-world knowledge-aided (KA) airborne moving target indicator (AMTI) radar.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erlan H. Feria "The mathematical theory of signal processing and compression-designs", Proc. SPIE 6250, Mobile Multimedia/Image Processing for Military and Security Applications, 62500J (12 May 2006); https://doi.org/10.1117/12.669455
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Cited by 1 scholarly publication.
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KEYWORDS
Signal processing

Data compression

Radar

Image processing

Image compression

Digital signal processing

Intelligence systems

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