Abstract-The aim of this paper is to examine a set of wavelet functions (wavelets) for implementation in a still image compression system and to highlight the benefit of this transform relating to today's methods. The paper discusses important features of wavelet transform in compression of still images, including the extent to which the quality of image is degraded by the process of wavelet compression and decompression. Image quality is measured objectively, using peak signal-to-noise ratio or picture quality scale, and subjectively, using perceived image quality. The effects of different wavelet functions, image contents and compression ratios are assessed. A comparison with a discrete-cosine-transform-based compression system is given. Our results provide a good reference for application developers to choose a good wavelet compression system for their application.
This paper deals with path loss calculation by using measurement results. This paper offers methodology for processing path loss measurement results. First part of the paper gives short introduction. Second part of the paper describes measurement results collection process. Third part of the paper offers methodology for processing measurement results. By using this methodology we can found real propagation model which caused path loss. Finally, paper gives example of calculation by using real measurement results on WiMAX system in town Cakovec on 3.5 GHz frequency band.
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