Quantum Denoising Algorithm

摘要：

Ouantum threshold algorithm is proposed to reduce the noise of signal.Quantum superposition principle is used to construct noise model in wavelet domain.We consider that signal is quasi quantum systenL Every wavelet coefficient belongs to a superposition state.We don’t know whether it belongs signal or noise until we measure it.Unlike hard threshold algorithm quantum threshold algorithm hasn’t a certain threshold.The probability that a wavelet coefficient belongs to signal or noise is decided by a distribution function.Finally.several experiments are made to compare the proposed method with conventional hard threshold algorithm.The pseudo-Gibbs phenomena can be reduced by this algorithm.

关键词： Denoising quantum threshold superposition state wavelet

作者: Peng Wang Jian-Ping Li

会议类型: 国际会议

会议名称: The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)

会议地点: 成都

会议语种:英文

页码: 685-687

在线出版日期: 2007-12-19（万方平台首次上网日期，不代表论文的发表时间）