Explore MATLAB source code curated for "去噪效果" with clean implementations, documentation, and examples.
The lifting scheme algorithm is utilized to implement second-generation wavelet transform and apply it to signal denoising. By implementing symmetric boundary extension for data, the method achieves effective noise reduction performance with robust handling of signal boundaries.
Among multiwavelets, the DGHM multiwavelet is the most extensively applied, renowned for its exceptional noise reduction performance and widely used in signal processing implementations.
The two-dimensional maximum entropy threshold segmentation method demonstrates superior noise reduction performance compared to one-dimensional approaches, with enhanced implementation through combined gray-level and neighborhood pixel analysis.