Professional MATLAB source code with comprehensive documentation and examples
Source code implementation for 2x2 channel estimation link based on 3GPP LTE system; originally developed for master's thesis, featuring time-domain and frequency-domain MIMO channel estimation algorithms with comprehensive MATLAB simulations
Information Theory and Coding - MATLAB Simulation Program for Linear Block Code Encoding and Decoding with Implementation Analysis
Signal sequence generation and mapping onto frequency hopping channels. The system employs a Bernoulli random signal generator module to create random signals with a frame sampling rate of 10 and sampling time of 1.5e-6. Signals are preprocessed and
MATLAB-based OFDMA simulation framework with configurable multi-user wireless communication parameters and spectral efficiency analysis
MATLAB implementation of various power allocation schemes for cognitive radio networks, including algorithm descriptions and performance analysis
A comprehensive simulation framework for MIMO-OFDM communication systems implementing Space-Time Block Coding, featuring QPSK modulation/demodulation, IFFT modulation, space-time encoding/decoding algorithms, and training symbol-based channel estimat
Basic implementation of the WIMAX 802.16d MAC layer with detailed simulation focusing exclusively on downlink transmission
Implementation of the JAKES Model Leveraging Rayleigh Fading Channel Characteristics with Algorithmic Details and Simulation Techniques
SeDuMi is a powerful MATLAB toolkit for solving second-order cone programming problems, widely used in array signal processing and beamforming optimization designs with efficient algorithm implementations.
This code package provides working implementations of OFDM modulation/demodulation and channel estimation algorithms, accompanied by comprehensive documentation with step-by-step program guidance.
This MATLAB program simulates the fundamental performance of cooperative communications using Decode-and-Forward (DF) protocol with an S-R-D three-node model, featuring Maximum Ratio Combining (MRC) at the receiver. Under fixed DF conditions, system
Communication Principles Experiment focusing on MATLAB simulation of digital baseband transmission systems, including signal generation, Gaussian white noise generation, R-filter and T-filter implementation, and complete communication system workflow
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,
OFDM system transmission simulation through multipath fading channel with Jakes model implementation. Time dispersion coefficients are configurable as [0.9, 0.8, ...] for channel customization. Features complete transmit-receive chain with signal det
Master MATLAB applications in communication system analysis. Learn to design and analyze a frequency hopping spread spectrum system using MATLAB, including signal generation, modulation/demodulation, and performance evaluation techniques.
Complete MATLAB simulation of a 16-QAM baseband transmission system featuring key modules including binary information source input, 16-QAM modulation, transmit filter, receive filter, sampling, equalization, signal detection, 16-QAM demodulation, in
MATLAB implementation of BP (Belief Propagation) decoding for Low-Density Parity-Check (LDPC) codes over AWGN channel with comprehensive code structure and algorithm details
Implementation of widely-used modulation techniques in communication systems, including constant envelope modulations for satellite applications (SOQPSK and MUQPSK), continuous phase modulation PCM-FM, and standard digital modulations such as BPSK an
Implementation of Generalized Sidelobe Canceller (GSC) adaptive beamforming method with time-domain and frequency-domain filtering using LMS adaptive algorithm for speech enhancement. The package includes clean speech samples and noisy speech samples
Implementation of SC decoding algorithm for polar codes supporting configurable signal-to-noise ratios and code lengths, with extensibility to SCL and CA-SCL algorithms. The core computational components are written in C for maximum efficiency, while