Explore MATLAB source code curated for "解压缩" with clean implementations, documentation, and examples.
MATLAB code for EM algorithm implementation. The extracted package can be directly executed in MATLAB environment to demonstrate expectation-maximization for statistical parameter estimation and clustering applications.
Implementation of Huffman coding algorithm for digital image compression and decompression processing, where the decompressed image is nearly identical to the source image with infinite peak signal-to-noise ratio
Classic algorithm for image coding using wavelet transform, featuring complete compression and decompression processes with executable demonstration code implementations.
Compress a raw video image sequence to generate a compressed file; decompress this compressed file to produce a display image; compare the display image with the original image in terms of quality, compressed file size, and other relevant metrics.
F-16 aircraft longitudinal control and stability augmentation system simulation model, compatible with MATLAB 2006b and higher versions after extraction. First execute SAS_lon_4ord_ini.m for system initialization, then run SAS_lon_4ord.mdl simulation file. Users can modify feedback control parameters for system tuning.
Implementation of HAAR wavelet transforms for wavelet coefficient relationship extraction, followed by zerotree encoding for compression and subsequent decompression to reconstruct the original image. Contains minor optimizations that serve as valuable references for similar implementations.
This implementation demonstrates image compression using 8x8 block-based Discrete Cosine Transform (DCT) and reconstruction via Inverse DCT (IDCT): DCT serves as a separable transform for image compression encoding, while IDCT handles decompression. The process involves dividing images into blocks, applying mathematical transformations, and reconstructing with minimal quality loss.
LQR source code package - extract files and run directly in MATLAB 7.0 environment for linear-quadratic regulator implementation
A comprehensive guide to image compression and decompression methods with practical code implementation insights