Explore MATLAB source code curated for "译码" with clean implementations, documentation, and examples.
This MATLAB implementation decodes run-length encoded data and extracts fingerprint features from images. The package includes one main M-file and three sample fingerprint image files for algorithm demonstration and testing.
CRC (Cyclic Redundancy Check) code, derived from block linear codes, primarily operates with binary codewords. Its simple encoding process and low false-detection probability make it widely adopted in communication systems. As an important class of linear block codes, CRC not only possesses strong algebraic theoretical foundations but also enables straightforward implementation of encoding and decoding through linear shift registers. Analysis and MATLAB-based simulations demonstrate CRC's robust error-detection capabilities and encoding simplicity.
Implementation of LDPC encoding with random parity-check matrix (H) generation and log-likelihood ratio belief propagation (LLR-BP) decoding algorithm, featuring comprehensive code annotations and detailed technical explanations
Implementation of BCH encoding and decoding algorithms in MATLAB with detailed code explanations and error correction methodologies
Communication Principles: Encoding and Decoding of (7,4) Hamming Code with Well-Commented Code Suitable for Beginners
Application Background: To improve transmission efficiency, compression encoding technology is required to remove redundant information from signals while maintaining quality, thereby reducing signal rate and bandwidth usage. Even digitally-native data and text information benefit from compression encoding to reduce redundancy. Key Technology: Symbols are arranged in descending probability order. The two smallest probabilities are merged iteratively until reaching probability 1. During merging, higher-probability symbols use encoding 0 while lower-probability symbols use encoding 1. Algorithm implementation involves binary tree construction and code assignment through recursive probability merging.
LDPC Parity-Check Matrix Generation, Encoding, and Decoding. This article covers the complete process including matrix construction algorithms, encoding techniques using generator matrices, and iterative decoding methods like belief propagation.
MATLAB implementation of Reed-Muller encoding and decoding using the Fast Hadamard Transform (FHT) algorithm for efficient error correction
MATLAB implementation of Turbo code encoding and decoding algorithms in M-file format with comprehensive simulation analysis
LDPC code decoding using Min-Sum algorithm, including implementation of parity-check matrix H construction