Abstract
Vector transformation is a new method in unifying vector quantization (VQ) and transform coding. So far, the codebook generation that has been applied in this coding is the LBG algorithm. With the development of neural networks, especially Self Organizing Feature Maps (SOFM), there are some advantages that can be used to improve a system's performance. In this paper, we explore the application of the SOFM algorithm to generate the Vector Transform Coding (VTC) codebook and compare the result with some coding rates using the LBG algorithm.
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