Explore MATLAB source code curated for "频率域" with clean implementations, documentation, and examples.
Performing Fast Fourier Transform on images, removing high-frequency information in the frequency domain, and applying inverse transform to spatial domain to eliminate image raster artifacts with implementation insights.
Implementation of image processing in the frequency domain using Fourier transform techniques, comparing differences between image restoration from magnitude and phase components, with successful debugging and validation
The primary frequency domain low-pass filters include Ideal, Butterworth, and Gaussian types, commonly implemented in digital signal processing for high-frequency attenuation.
Fractional Fourier Transform (FRFT) Implementation for Rectangular Signals with Code Modules: wigner_ville_1.m (Single-component signal denoising), wigner_ville_2.m (Dual-component parallel signal denoising), wigner_ville_3.m (Three-component signal frequency detection). The FRFT provides a comprehensive time-frequency representation as the order parameter continuously varies from 0 to 1, transitioning signals from pure time domain to pure frequency domain characteristics.