Implementation of Turbo Code Encoding

This project implements turbo code encoding using MATLAB with specified generator polynomials, interleaver mapping tables, and puncturing selection. The main program encederm.m serves as the primary controller that coordinates the encoding process by calling two key subroutines: rsc_encede.m for recursive systematic convolutional encoding and encode_bit.m for bit-level encoding operations. The implementation follows the standard turbo code architecture with two component encoders connected in parallel through an interleaver. The generator polynomials define the feedback and feedforward connections for the RSC encoders, while the interleaver mapping table determines the bit rearrangement pattern that provides the coding advantage through diversity. The puncturing selection matrix controls the systematic and parity bit transmission rate, allowing adjustable code rates for different redundancy requirements. Through these MATLAB programs, turbo encoding efficiently processes input data streams, generating encoded sequences with strong error correction capabilities. The modular program structure simplifies the encoding implementation while allowing customization of polynomial configurations, interleaver patterns, and puncturing schemes. This MATLAB-based approach provides a flexible and efficient method for turbo code implementation, enabling researchers and engineers to adapt the encoding parameters according to specific communication system requirements. The key algorithmic components include: - Recursive Systematic Convolutional (RSC) encoding with predefined generator polynomials - Block interleaving using mapping tables to permute input sequences - Puncturing patterns that selectively transmit parity bits to achieve desired code rates - Parallel concatenation of encoded sequences from multiple component encoders