Professional MATLAB source code with comprehensive documentation and examples
Implementation of a MATLAB-based power flow analysis tool using the IEEE 33-node distribution network benchmark, featuring Newton-Raphson algorithm implementation for electrical network calculations
A comprehensive LDPC encoding and decoding program featuring specific modules for encoding, decoding, and modulation. The implementation includes sophisticated algorithms for error correction and supports various modulation schemes for different tran
Complementary Code Keying (CCK) algorithm implementation including complementary code generation and gain calculation, primarily used in 802.11b wireless communication systems with detailed code-level explanations of modulation techniques.
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 onlin
MATLAB implementation files for multiple modulation schemes: bask.m (Binary Amplitude Shift Keying), bfsk.m (Binary Frequency Shift Keying), bpsk.m (Binary Phase Shift Keying), msk.asv (Minimum Shift Keying auto-save file), msk.m (Minimum Shift Keyin
Implementation of BLAST detection algorithms using Zero-Forcing and MMSE approaches in multi-antenna systems
Linear arrays, circular arrays, cylindrical arrays, and spherical arrays for 3D beamforming patterns, along with binary and decimal (including fractional) conversion algorithms
Comprehensive step-by-step guide to OFDM simulation including signal source generation, channel modeling, encoding/decoding techniques, and three channel estimation methods (LS, MMSE, SVD) with code implementation approaches
Comprehensive MATLAB program implementation for Linear Frequency Modulation (LFM) pulse compression radar simulation with detailed methodology and algorithm explanations
A blind equalization algorithm utilizing Support Vector Machine (SVM) with QPSK (Quadrature Phase Shift Keying) as input signal, featuring MATLAB-compatible implementation considerations.
The Rayleigh channel model presents six distinct modeling approaches along with methods for channel validation, covering both single-path and multipath propagation scenarios.
A comprehensive MATLAB program for MIMO-OFDM systems including both transmitter and receiver components, implemented with a simplified channel model and signal processing algorithms.
Source code for communication system modeling and simulation, including implementations for Bluetooth, CDMA IS-95, OFDM, MIMO technologies with their core related functions
Simulation of cross-gain modulation in semiconductor optical amplifiers applicable to bulk-SOAs, with parameter modifications enabling QD-SOA simulations. The implementation involves carrier rate equations and spectral gain models to capture nonlinea
System Identification and Adaptive Control - Recursive Least Squares Parameter Estimation for MIMO Systems (This program is designed for 2-input 2-output systems with implementation of RLS algorithm and real-time parameter updating)
This clipping_slm_pts source code effectively reduces the Peak-to-Average Power Ratio (PAPR) in OFDM systems with guaranteed execution and optimal performance results.
Synchronization plays a crucial role in digital receiver demodulation. This program provides a detailed implementation of symbol synchronization using the squaring timing algorithm, including key computational steps and signal processing techniques.
Channel estimation based on Least Squares (LS) and Minimum Mean Square Error (MMSE) approaches, featuring detailed simulation results including Bit Error Rate and Mean Square Error performance metrics.
Comparative analysis of signal detection algorithms in MIMO systems, including Zero-Forcing (ZF), Minimum Mean Square Error (MMSE), and Maximum Likelihood (ML) approaches, with code implementation insights
BBC-developed MATLAB general simulation platform for DVB-T2 systems, with each encoding step output to specific TXT files for result verification and debugging purposes.