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  • 标题:Multi-Scale Domain Classification Based Heart Sound Compression
  • 本地全文:下载
  • 作者:Ravi M. Potdar ; Manoj K. Kowar ; Amit Biswas
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2012
  • 卷号:2
  • 期号:2
  • 页码:41-44
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:In recent days, fractal compression has gained a wide popularity due to its inherent features and efficiency in compressing data. In the present communication, fractal compression technique has been applied on heart sound signals for effective compression. Fractal heart sound coding based on the representation of a heart sound signal (1D or vector) by a contractive transform, on the sound data, for which the fixed point (reconstructed heart sound) is close to the original heart sound. The work is intended to provide an approach on this process by introducing the idea of multi-scale Domain pool classification using Variance Fractal Dimension (VFD) based on complexity of the heart sound data. A pre-processing analysis of the heart sound data by VFD to identify the complexity of each sound data samples block for classification has been undertaken. The performance result of the present work has focused in terms of good fidelity signal reconstruction versus encoding time and amount of compression.
  • 关键词:Phonocardiogram; Fractal Compression;Variance Fractal Dimension; Domain Classification
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