Explore MATLAB source code curated for "重构" with clean implementations, documentation, and examples.
Phase space reconstruction plays a critical role in nonlinear system analysis, enabling the discovery of hidden patterns in high-dimensional data through mathematical techniques and computational implementations.
This MATLAB-based program computes phase space trajectory reconstructions for one-dimensional time series data and identifies optimal reconstruction delay steps/time parameters using advanced algorithms.
Implement speech signal decomposition with various wavelets in MATLAB, extract multi-level high/low frequency coefficients, visualize coefficient waveforms, and perform signal reconstruction.
Implementation of a 3D point cloud surface reconstruction program utilizing the Crust algorithm for generating smooth object surfaces from point cloud data
Wavelet decomposition and reconstruction of 2D images with visualization capabilities, implemented through multiresolution analysis including algorithm explanations and key function descriptions.
MATLAB implementation of learning-based super-resolution reconstruction with detailed code description, providing valuable resources for super-resolution research
This article focuses on utilizing MATLAB's built-in wavelet packet functions to perform image decomposition, compression, and reconstruction, with detailed explanations of implementation techniques and algorithm workflows.
This program reconstructs low-frequency and high-frequency coefficients at each decomposition level, plots the power spectrum with frequency on the x-axis and power on the y-axis, and visualizes the four-level wavelet packet decomposition tree structure in the final step.
This article explores signal processing applications of compressed sensing, where signal recovery and reconstruction are implemented using the Orthogonal Matching Pursuit (OMP) algorithm, an efficient greedy approach for sparse signal reconstruction.
Reconstructing 2D images using the GPSR-BB algorithm with clear implementation examples and practical code-related insights.