Modular Maximum De-noising Applied to Signals
Kou Ya-zhou · Radio Engineering of China · 2007
As the signal singularities and noise fluctuations have different lipschtiz opponents and distinct modular curve,the modular maximum de-noising is applied to de-noising digital communication signals with band-limited white Gaussian noise.It is described in aspects about the theory,algorithm,simulation and result-analysis.A new method about reconstructing signals using the modular maximum de-noising is proposed.The signal is separated from noise in modular maxima by wavelet transform,and the coefficients belonging to the noise are compressed,then the de-noised signal is reconstructed.The simulation experiments are performed to validate the new method.