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Multiobjective memetic optimization algorithms (MMOAs) are recently applied to solve nonlinear optimization problems with conflicting objectives. An important issue in an MMOA is how to identify the relative best solutions to guide its adaptive processes. Pareto dominance has been used extensively to find the relative relations between solutions for the fitness assessment in multiobjective optimization...
The paper deals with the problem of joint spectrum sensing and power control optimization for a multichannel, multiple-user cognitive radio network. In particular, we investigate trade-off factors in designing efficient spectrum sensing techniques to maximize the throughputs and minimize the interferences. To maximize the throughputs of secondary users and minimize the interferences to primary users,...
In this paper, we present a novel and low-complexity lossless compression for gray-scale images. The gray-scale image is first separated into bit-planes. These bit-planes are then performed a binary wavelet transform (BWT) to obtain an efficient representation for compression. The BWT bits of significant bit-planes are then encoded by the run-length coder that uses Golomb-Rice codes for run-encoding...
In this paper, we propose a new intelligent, robust and adaptive digital watermarking technique for colour images based on the combination of discrete wavelet transform (DWT), human visual system (HVS) model and general regression neural network (GRNN). First, the RGB image is converted to YCrCb image, and then the luminance component Y is decomposed by DWT. Wavelet coefficients are then analyzed...
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