Bandelet Denoising with BLS-GSM and Translation-Invariant Methods
Implementation of bandelet-based denoising incorporating BLS-GSM and translation-invariant approaches, with note on significant memory requirements for large image processing
Latest Program for 1D Signal Denoising Using EMD with Advanced Implementation Methods
The latest program for 1D signal denoising using Empirical Mode Decomposition (EMD) incorporates three advanced denoising techniques: 1) Direct wavelet thresholding with hard thresholding implementation; 2) EMD-specific threshold denoising leveraging intrinsic mode function characteristics; 3) Shift-invariant denoising applied after EMD decomposition for enhanced performance. The program implements these methods through MATLAB functions including emd() for decomposition, wthresh() for threshold operations, and custom algorithms for mode alignment in shift-invariant processing.