Explore MATLAB source code curated for "解码" with clean implementations, documentation, and examples.
This document provides a comprehensive guide to implementing convolutional code encoding and decoding processes using MATLAB, including mathematical formulation, algorithm implementation details, and code examples.
A comprehensive LDPC encoding and decoding program featuring specific modules for encoding, decoding, and modulation. The implementation includes sophisticated algorithms for error correction and supports various modulation schemes for different transmission scenarios.
MATLAB-based source code implementation for Huffman encoding and decoding algorithms with comprehensive functionality.
MATLAB implementation of ADPCM encoding and decoding with separate m-files for encoding and decoding processes. The algorithm follows IMA ADPCM standards with adaptive quantization and differential coding mechanisms.
Implementation of encoding and decoding procedures for 4-antenna quasi-orthogonal codes, featuring combined decoding for partial rows with algorithmic optimization
MATLAB implementation of G729 speech codec with comprehensive encoding and decoding functions. Key features include: G729code() function for speech compression (requires speech data as row vector in MATLAB workspace), generating "coding.bit" output file. G729decodermain() function for reconstruction, producing "syn_speech.wav" audio file. The implementation follows ITU-T G729 standards for 8 kbps speech coding with CS-ACELP algorithm.
A self-developed test program for QR code scanning in MATLAB with core functionalities including image scanning and data decoding processes.
The cubic spline algorithm demonstrates excellent performance in both image encoding and decoding operations, although its computational intensity reduces overall efficiency. We propose a fast algorithm that maintains quality while optimizing processing speed through improved interpolation calculations and boundary condition handling.
MATLAB program for 1/2 rate turbo coding and decoding using MAP algorithm with implementation details
Achieve grayscale image compression and decoding using run-length encoding and Huffman coding, achieving compression ratios up to 15:1 through efficient data representation and entropy coding techniques.