Explore MATLAB source code curated for "消除" with clean implementations, documentation, and examples.
Mirror extension of signal endpoints can be used to eliminate edge effects caused by Hilbert transform. This technique involves replicating signal segments symmetrically at both ends to create seamless transitions for improved spectral analysis.
Implementation of RANSAC algorithm for robust image matching by eliminating incorrect correspondence points through iterative model fitting and outlier rejection.
This code implements shadow detection and elimination using HSV color space conversion. It extracts both foreground and background images, leveraging HSV's human perception-like color representation for accurate shadow identification while maintaining computational simplicity.
This study verifies the effectiveness of the power inversion algorithm in eliminating high-power single-frequency interference from GPS signals, covering both GPS signal generation and algorithm implementation with code-level descriptions.
A complete self-developed program for eliminating endpoint effects in Empirical Mode Decomposition (EMD) through waveform matching, featuring comprehensive graphical illustrations and detailed implementation documentation.
A MATLAB-based denoising program implementing Gaussian noise elimination with excellent performance, featuring modular code structure for easy customization and algorithm integration.
Atmospheric Effect Elimination in InSAR - Implementation Approaches and Algorithmic Considerations