Image Compression Processing in MATLAB with Source Code Implementation
MATLAB source code for image compression processing, featuring algorithm implementations and practical applications
Explore MATLAB source code curated for "处理" with clean implementations, documentation, and examples.
MATLAB source code for image compression processing, featuring algorithm implementations and practical applications
This program implements wavelet transform algorithms for fault signal analysis and processing, specially designed for noise reduction and type I discontinuity detection, providing valuable reference for mechanical wave researchers with detailed code implementation examples.
Wavelet decomposition technique for processing discrete signals through decomposition and reconstruction, with MATLAB code implementation examples for signal analysis applications.
This radon-based image motion blur parameter estimation program calculates blur angle and blur scale parameters, though oversized images require preprocessing before use - implementing Radon transform analysis and peak detection algorithms to extract motion blur characteristics from image spectra.
Huffman coding is highly effective for image compression and decompression, suitable for processing various types of images with demonstrated practical utility in reducing file sizes and improving transmission efficiency.
A comprehensive toolbox designed for speech signal analysis and processing, featuring various algorithms and functions for audio enhancement and recognition tasks.
Speech signal analysis, processing, and design. The MATLAB-based voice changer operates by modifying the input sound's frequency to alter timbre and pitch, creating perceptually different output. This dual modulation of timbre and pitch transforms vocal characteristics. User-generated voice inputs leverage resampling techniques for formant frequency shifting, implementing key DSP algorithms including frequency scaling and spectral envelope modification through functions like resample(), pitch shifting, and formant correction.
Implementing the CLEAN Algorithm for Signal Spectrum Processing to Achieve Filtering Effects
A program for reading single-channel PCM audio files, which can be easily modified to handle larger audio files with corresponding processing. This implementation uses buffered file reading to efficiently process data in segments. The author has successfully integrated this module with other programs to conduct various experiments involving partial file reading followed by subsequent processing operations.
A well-known beneficial SAR imaging processing algorithm that performs two-dimensional processing in both range and azimuth directions to form radar images