Explore MATLAB source code curated for "去噪" with clean implementations, documentation, and examples.
Implementing a comprehensive image processing pipeline for pavement crack detection: converting images to grayscale, applying noise reduction filters, enhancing contrast through histogram equalization, differentiating between linear and mesh cracks, and quantitatively measuring crack length (linear) and area (mesh) for damage assessment.
Self-developed seismic data denoising research utilizing Singular Value Decomposition, featuring detailed explanations of algorithms and MATLAB/Python code implementation approaches
MATLAB program for processing transformer partial discharge experimental data featuring signal denoising algorithms, waveform peak detection methods, and phase information extraction techniques with practical code implementation examples.
GMCA Toolbox for Denoising - 2005 source code implementation for Multiple Criteria Analysis (MCA)-based denoising, featuring algorithm implementations for signal processing and noise reduction techniques, widely referenced on international technical platforms.
Implementation of image and video denoising using sparse 3D transform-domain collaborative filtering with block-matching, transform coefficient shrinkage, and aggregation techniques
• Plot the noisy speech signal in both time-domain and frequency-domain representations • Perform time-frequency analysis of noise-corrupted speech signals • Design and implement appropriate digital filters for speech denoising using signal processing algorithms • Apply filter design techniques to remove noise components while preserving speech characteristics • Plot the cleaned signal in both time-domain and frequency-domain for performance validation • Conduct time-frequency analysis of processed signals to evaluate denoising effectiveness • Explore advanced audio processing applications including reverberation systems
This suite of programs implements signal singularity detection and denoising routines using wavelet transforms. Each program's specific functionality, including implementation approaches for multi-scale analysis and thresholding techniques, is detailed in the source code.
Comprehensive wavelet application examples document covering denoising, image compression, edge distortion, image fusion, wavelet packet decomposition and reconstruction, accompanied by detailed MATLAB implementation code with algorithm explanations.
A self-developed program implementing speech frame segmentation, windowing, noise reduction, and endpoint detection algorithms, successfully debugged and optimized for speech signal processing
1. Perform time-frequency analysis on noisy speech signals using spectrogram and periodogram methods 2. Design appropriate digital filters (FIR/IIR) for denoising through frequency response analysis 3. Conduct post-denoising time-frequency analysis to evaluate performance metrics 4. Implement a reverberation effect using four comb filters and two all-pass filters with equalizer integration for echo generation