Wavelet Packet Denoising for 1D Signals
Wavelet packet denoising implementation for one-dimensional signals featuring optimal threshold selection and adaptive wavelet basis optimization
Mathematical Morphology Operations for 1D Signals: Erosion, Dilation, Opening, and Closing
Custom MATLAB implementation of 1D signal mathematical morphology operations including erosion, dilation, opening, and closing, designed for filtering sharp impulse signals and suitable for vibration signal preprocessing with structural element configuration
Multiwavelet Decomposition of 1D Signals with Implementation Details
Implementation of 1D signal multiwavelet decomposition program that loads wavelet coefficients from a coefficient file (coef). Requires preprocessing with pre-filtering operations before decomposition.
Dual-Tree Complex Wavelet Transform Source Code
Source code implementation for dual-tree complex wavelet transform, supporting both 1D signal processing and 2D image transformation with enhanced directional selectivity
Fast Computation of Tower Spectral Kurtosis Map for 1D Signals
Rapidly compute the tower spectral kurtosis map for 1D signals and identify the maximum spectral kurtosis interval, facilitating determination of optimal filter center frequency and bandwidth for enhanced signal analysis.
Compressive Sensing Recovery of 1D Signals Using Orthogonal Matching Pursuit in MATLAB
Implementation of 1D signal reconstruction through compressive sensing using Orthogonal Matching Pursuit (OMP) algorithm in MATLAB, featuring code structure and algorithmic workflow explanation
Box-Counting Fractal Dimension Calculation for 1D Signals
MATLAB implementation for calculating box-counting fractal dimension of one-dimensional signals
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.
Matching Pursuit Algorithm for One-Dimensional Signals
Matching Pursuit Algorithm for one-dimensional signals, capable of accurately reconstructing signals using relatively few atoms for comparison
Implementation of Wavelet Transform Using the À Trous Algorithm (Undecimated Wavelet Transform)
Utilizing the à trous algorithm (undecimated wavelet transform) for wavelet transformation processing one-dimensional signals, including implementation methodology and key computational steps