Explore MATLAB source code curated for "Viterbi译码" with clean implementations, documentation, and examples.
Simulation of communication systems with Viterbi decoding capabilities for convolutional codes and other decoding solutions. This MATLAB-based example provides practical simulation tools for communication engineering applications, featuring algorithm implementation details and key function descriptions.
Implementation of (2,1,7) Convolutional Encoding with Corresponding Viterbi Decoding Algorithm
MATLAB implementation of convolutional code encoding and Viterbi decoding, including a comprehensive bit error rate (BER) verification program. This dissertation project achieved excellent evaluation results and addresses common errors found in online implementations. The complete code is shared for reference and learning purposes.
Verified Viterbi decoder MATLAB program with comprehensive documentation and supporting files for communication system applications
Implementation of Viterbi decoding algorithm for convolutional codes with support for both soft-decision and hard-decision decoding methods, featuring algorithm explanations and code implementation details derived from English academic textbooks.
Implementation of convolutional coding with BPSK modulation and Viterbi decoding, featuring comparative analysis of soft/hard decision performance against uncoded BPSK bit error rate, including algorithm explanations and MATLAB implementation considerations.
This document explains the working mechanism of convolutional coding and decoding, accompanied by a Simulink simulation demonstrating convolutional encoding and Viterbi algorithm-based decoding. All encoding/decoding modules are implemented using custom S-Functions. The simulation evaluates Bit Error Rate (BER) versus Signal-to-Noise Ratio (SNR) in Additive White Gaussian Noise (AWGN) channels, including implementation details for finite-state machine handling, branch metric calculation, and trellis path tracing.
A comprehensive MATLAB implementation of Viterbi decoding and encoding algorithms, ideal for beginners learning digital communication systems
MATLAB-based simulation of a complete digital communication chain including convolutional encoding, QPSK modulation, AWGN channel transmission, QPSK demodulation, and Viterbi decoding.