PCM Encoder Implementation Using MATLAB SIMULINK
This project demonstrates the development of a Pulse Code Modulation (PCM) encoder using SIMULINK in MATLAB, including implementation details and algorithm explanations.
Design and Simulation of Encoder and Decoder for Channel Coding Linear Block Codes - Hamming Code
Design and simulation implementation of encoder and decoder for channel coding linear block codes, specifically Hamming codes, including error detection/correction algorithms and performance analysis.
FM0 Encoder and Decoder Implementation
FM0 encoding and decoding algorithms for digital communication systems with practical implementation approaches
MATLAB Implementation of Convolutional Codes with Encoder and Decoder
MATLAB-based implementation of convolutional codes featuring both encoder and decoder components, including code structure analysis and algorithm explanations.
LZW Encoder and Decoder: Data Compression Implementation
LZW encoding and decoding algorithm with dictionary-based compression for efficient data storage and transmission.
LTE Physical Layer Implementation for Single User
This model simulates the LTE Physical Layer for a single user implementation based on OFDM technology. The LTE simulator incorporates key components including Turbo encoder/decoder modules, Cyclic Redundancy Check (CRC) mechanisms, and other essential LTE building blocks to demonstrate physical layer functionality.
MATLAB Implementation of Turbo Code Encoding
MATLAB implementation of Turbo code encoding featuring a dual-constituent recursive systematic convolutional (RSC) encoder structure with interleaver
TCM Simulation Including Encoder Implementation
TCM Simulation System with Encoder, Modulator, Demodulator, and Decoder Components
Convolutional Coding: A Memory-Based Encoding Technique with Code Implementation Insights
Convolutional code is a memory-based encoding technique where at any given time unit, the encoder's n outputs depend not only on the current k inputs but also on the previous m inputs. Typically denoted as (n, k, m), this simulation employs a (2, 1, 3) convolutional code structure. The implementation involves shift registers for memory management and polynomial generators for output computation.
Convolutional(2,1,6) Encoder with Soft Decision Viterbi Decoder Implementation
Previously uploaded version contained errors - now corrected and fully functional. This implementation features a rate 1/2 convolutional encoder with constraint length 6 and soft-decision Viterbi algorithm for optimal decoding performance.