Neural self-adapting architecture for video-on-radio devices

Gianfranco Basti; Antonio Luigi Perrone

doi:10.1117/12.458708

11 March 2002 Neural self-adapting architecture for video-on-radio devices

Proceedings Volume 4739, Applications and Science of Computational Intelligence V; (2002) https://doi.org/10.1117/12.458708
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

In this paper we have sketched some technical details of an FM sub-carrier technology called Multi Purpose Radio Communication Channel (MPRC). This technology delivers actually data at maximum data rate of around 40 kbs using a proprietary codec algorithm: Subsidiary Communication Channel (SCC). A core device of this codec algorithm is a DWT compressor with a proprietary pre-processing, constituted by a neural self-adapting filter, the Dynamic Perceptron Algorithm (DPA), able to detect edges and to extract objects from the moving images flow, so to optimize the overall compression rate and the image quality. As a result it is possible to obtain video transmission in QCIF format at roughly 8/12 fps using 35 kHz of the 100 kHz available for a commercial FM radio station in Europe. This allows transmitting video on FM radio together with the usual radio broadcasting. On the contrary, if we use all the available 100 kHz., we obtain, after the charge related to the error protocol, a channel for compressed video transmission of about 113 kbit, allowing high quality 640x480 (zoomed or not zoomed) video images.

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Gianfranco Basti and Antonio Luigi Perrone "Neural self-adapting architecture for video-on-radio devices", Proc. SPIE 4739, Applications and Science of Computational Intelligence V, (11 March 2002); https://doi.org/10.1117/12.458708

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KEYWORDS

Video

FM band

Fermium

Frequency modulation

Video compression

Image compression

Discrete wavelet transforms

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