Abstract: The easy path wavelet transform (EPWT) has recently been proposed by one of the authors as a tool for sparse representations of bivariate functions from discrete data, in particular from image data. The EPWT is a locally adaptive wavelet transform. It works along pathways through the array of function values and exploits the local correlations of the given data in a simple appropriate manner. However, the EPWT suffers from its adaptivity costs that arise from the storage of path vectors. In this paper, we propose a new hybrid method for image approximation that exploits the advantages of the usual tensor product wavelet transform for the representation of smooth images and uses the EPWT for an efficient representation of edges and texture. Numerical results show the efficiency of this procedure.

• Publication Date: 03-Jun-2011
• DOI: 10.15224/978-981-07-1847-3-1027
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Abstract: Filters play an important role in microwave applications.Microwave systems have an enormous impact on modern society. Applications are diverse, from entertainment via satellite television, to civil and military radar system. In particular, the recent trend of multi-frequency bands and multifunction operations in wireless communication systems along with the explosion in wireless portable devices are imposing more stringent requirements such as size reduction tunability or reconfigurability enhancement and multiband operations for microwave circuits. This paper describes about the design of stepped-impedance microwave low pass filter by using Microstrip layout which works at 3.7 GHz for permittivity 4.4 value with a substrate thickness 1.6 mm for order n=3. The stepped-impedance low pass filter have a pass band ripple 0.1 dB. The development of the Microstrip filters are simulated by using IE3D simulator software.

• Publication Date: 03-Jun-2011
• DOI: 10.15224/978-981-07-1847-3-1027
• Views: 0
• Downloads: 0