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Data gathering is one of the most popular applications in multi-hop wireless sensor networks. Since resources are limited, it is important to efficiently allocate the resource Massive multi-input multi-output (m-MIMO) systems can provide a high degree of freedom in signal transmission, enabling to simultaneously serve a number of users with high transmissin capacity. Conventional zero-forcing beamforming...
Image retrieval is one of the most exciting and fastest growing research areas in the field of multimedia technology. In this paper, we present and implement an image descriptor that extracts the feature of image using combination of SURF (Speed Up Robust Feature) and DCD (Dominant Color Descriptor) scheme. To evaluate the performance of implemented algorithm, we assess the performance of simulation...
In this paper, we consider opportunistic feedback of channel state information (CSI) for multi-user multi-antenna transmission. The base station utilizes channel quality information (CQI) as the CSI for closed-loop multi-antenna transmission, which is often achieved from mobile stations in a quantized format. However, only the use of quantized CQI may noticeably deteriorate the transmission performance...
Image retrieval is one of the most exciting and fastest growing research areas in the field of multimedia technology. In this paper, we propose and implement a new image retrieval method that extracts the feature of image using efficient clustering for SURF (Speed Up Robust Feature) scheme, applicable to mobile environments. Since SURF works only on gray-scale images, our clustering SURF is combined...
Image retrieval is one of the most exciting and fastest growing research areas in the field of multimedia technology. This paper proposes a new efficient image retrieval method that applies a weighted combination of color and texture to the wavelet transform, based on spatial-color and second order statistics, respectively. To evaluate the performance of the proposed algorithm, we assess the simulation's...
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