Explore MATLAB source code curated for "处理" with clean implementations, documentation, and examples.
MATLAB denoising application for handling extensive point cloud datasets in reverse engineering, implementing noise reduction algorithms and data quality enhancement techniques
WAV file preprocessing including pre-emphasis, framing, merging, with successful test results and code implementation details
MATLAB implementation for reading CAD-generated DXF files, enabling processing of basic CAD objects through specialized parsing functions and geometric data extraction methods.
Read CSV waveform files, perform integration, smoothing, and de-biasing operations on the data, and generate new waveform files in the original directory with detailed code implementation approaches.
Speech Signal Processing - Implementing endpoint detection and pitch trajectory tracking for input voice signals using autocorrelation function (ACF), average magnitude difference function (AMDF), and combined ACF/AMDF methods with code implementation details.
Using rice.tif as a sample image, this guide demonstrates key techniques for processing and analyzing grayscale images through morphological operations. The workflow involves: removing uneven background illumination from the grayscale image, converting the processed image to binary using thresholding techniques, performing component labeling to identify object properties, and calculating statistical features of detected objects. Code implementations include background correction algorithms, Otsu's thresholding method, and connected component analysis for feature extraction.
Application of various filters for signal processing including arithmetic mean, geometric mean, harmonic mean, contraharmonic mean, median filtering, midpoint filtering, and max/min filters with implementation approaches
Extract frame images from AVI videos, perform image processing operations, and then reassemble the processed frames into a new AVI video segment with enhanced visual characteristics.
Histogram Equalization for Image Enhancement
Speech Signal Analysis, Processing and Design. The MATLAB-based voice changer operates by modifying input audio frequencies to alter timbre and pitch, creating perceptually distinct output sounds. Voice changers employ dual-composite modifications of both timbre and pitch characteristics. For self-generated vocal inputs, formant frequency alteration is achieved through resampling techniques, enabling diverse vocal effects.