The Noise Reduction over Wireless Channel Using Vector Quantization Compression and Filtering
| Autor: | Iman Elawady, Khelifi Mustapha, Abdelmounaim Moulay Lakhdar |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Linde–Buzo–Gray algorithm
General Computer Science business.industry Computer science Speech recognition Noise reduction Vector quantization Codebook ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications 02 engineering and technology Filter (signal processing) Data_CODINGANDINFORMATIONTHEORY Robustness (computer science) 0202 electrical engineering electronic engineering information engineering Wireless 020201 artificial intelligence & image processing Electrical and Electronic Engineering business Algorithm |
| Zdroj: | International Journal of Electrical and Computer Engineering (IJECE). 6:130 |
| ISSN: | 2088-8708 |
| DOI: | 10.11591/ijece.v6i1.8483 |
| Popis: | The transmission of compressed data over wireless channel conditions represents a big challenge. The idea of providing robust transmission gets a lot of attention in field of research. In this paper we study the effect of the noise over wireless channel. We use the model of Gilbert-Elliot to represent the channel. The parameters of the model are selected to represent three cases of channel. As data for transmission we use images in gray level size 512x512. To minimize bandwidth usage we compressed the image with vector quantization also in this compression technique we study the effect of the codebook in the robustness of transmission so we use different algorithms to generate the codebook for the vector quantization finally we study the restoration efficiency of received image using filtering and indices recovery technique. |
| Databáze: | OpenAIRE |
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