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A radial basis function (RBF) equalizer design process has been developed in which the number of basis function centers used is substantially fewer than conventionally required. The reduction of centers is accomplished in two-steps. First an algorithm is used to select a reduced set of centers that lie close to the decision boundary. Then the centers in(More)
In this paper, we discuss the application of a radial basis function (RBF) network to the channel equalization problem. In particular, the purpose of the paper is to improve the previously developed RBF equalizer with training using K-means and LMS methods; reducing the RBF network size by considering a lesser number of RBF centers, and developing new(More)
The objective of this work is to provide image quality evaluation for intraonly H.264/AVC High Profile (HP) standard versus JPEG2000 standard. Here, we review the structure of the two standards and the coding algorithms in the context of subjective and objective assessments. Simulations were performed on a test set of monochrome and color image. As a result(More)
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