IEEE Wireless Communication, 2003, pp. 64-72 A FEATURE EXTRACTION AND PATTERN RECOGNITION RECEIVER EMPLOYING WAVELET ANALYSIS AND ARTIFICIAL INTELLIGENCE FOR SIGNAL DETECTION IN DIFFUSE OPTICAL WIRELESS COMMUNICATIONS
نویسنده
چکیده
Optical Wireless diffuse indoor infrared (IR) communication systems have as yet large unrealised bandwidths that are not subject to the same regulatory control as Radio Frequency (RF) systems. Usually, wellestablished RF techniques are used to combat channel imperfections for IR implementations. Here, we introduce a novel receiver system based on the multi-resolution time-frequency feature extraction capabilities of wavelet analysis, coupled with the well-recognised pattern recognition performance of artificial neural networks for mitigating the effects of bandwidth limiting channel-induced distortion.
منابع مشابه
United States Patent Hull et al
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