摘要
引入了基于提升法的自适应离散小波变换,使伯恩斯坦预测算子自适应匹配特定的数据序列,并将其应用于改进的信号去噪方法中。仿真实验表明,基于自适应提升小波变换的改进方法同一般的小波变换相比,去噪后的信号信噪比更高,且提升方法的设计灵活、计算简单。
The adaptive wavelet transform based on the lifting scheme is used to make Bernstein filter predictor adaptively match a desired signal by adaptive criteria,and is used in the improved method for signal denoise. The experimental results show that the SNR of the new method is higher than normal wavelet transform, and the presented scheme improves the design flexibility and computational complexity.
出处
《电声技术》
2008年第10期46-48,共3页
Audio Engineering
关键词
自适应
提升法
小波变换
软门限
去噪
adaptive
lifting scheme
wavelet transform
soft threshold
denoise
