Convolutional Encoding and Viterbi Decoding with Implementation Details
Implementation of convolutional encoding and Viterbi decoding algorithms, including a basic BPSK modulation and demodulation process with code-level explanations.
MAP Algorithm - Maximum A Posteriori Probability Implementation
This MATLAB program implements the Maximum A Posteriori (MAP) algorithm with comprehensive communication system components including convolutional encoding/decoding, BPSK modulation, and AWGN channel simulation. The code also generates performance analysis through Bit Error Rate (BER) versus Signal-to-Noise Ratio (SNR) plots.
Simulating Convolutional Coding Using Simulink
Simulate convolutional coding using Simulink and decode using the Viterbi algorithm, with complete custom implementation of both encoding and decoding through S-Function programming
MATLAB Code Implementation for OFDM System Simulation
OFDM system simulation featuring 1024 subcarriers with comprehensive implementation including convolutional coding, interleaving, QPSK modulation, up/down sampling filters, and channel estimation techniques
Simulation of Communication Channel Established Using MATLAB
Simulation of communication channel developed in MATLAB, including convolutional coding implementation, QAM modulation with parameter configuration, and Rayleigh channel modeling with fading characteristics
Implementation of (2,1,7) Convolutional Encoding
Implementation of (2,1,7) Convolutional Encoding with Corresponding Viterbi Decoding Algorithm
MATLAB Code for Convolutional Encoding and Viterbi Decoding
MATLAB implementation of convolutional encoding and Viterbi decoding algorithms, sourced from "Modern Communication Systems Using MATLAB" English edition - proven effective for practical applications with clean, well-structured code
MATLAB Implementation of Gaussian Channel with BFSK Modulation and Convolutional Coding
Comprehensive channel model combining Gaussian, Rician, and multipath channels with Binary Frequency Shift Keying (BFSK) modulation and convolutional coding techniques
Implementation of MAP Algorithm - Maximum A Posteriori Probability Algorithm
This MATLAB program implements the MAP (Maximum A Posteriori Probability) algorithm, featuring convolutional encoding/decoding, BPSK modulation, AWGN channel simulation, and BER vs SNR performance analysis with graphical plotting capabilities.
GSM Full Rate Speech Burst Transmitter
Complete MATLAB program suite for GSM full rate speech burst transmitter implementation, featuring precoding, convolutional encoding, interleaving, and modulation modules with detailed technical documentation