An Improved multiple fractal algorithm

نویسندگان

  • Yun Lin
  • Xiaochu Xu
  • Jinfeng Pang
چکیده

Multiple fractal dimensions can depict the geometry characteristic of the signals from different levels, thus it can extract the features of different signals. The paper proposed an improved algorithm of multiple fractal dimension, it changed the calculation method of traditional multiple fractal dimension which accumulated the q dimensions characteristics. It increased the regularity and gathered degrees of the signals’ characteristics, under the condition that the basic computational complexity of algorithm was not changed. Simulation results show that, for the classification of different signals, the improved algorithm has better property.

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تاریخ انتشار 2013