Professional MATLAB source code with comprehensive documentation and examples
The channel modeling work package WP1 of the IST-WINNER project provides a MATLAB implementation of the WINNER Phase II Model (WIM), designed to generate radio channel realizations for both link-level and system-level simulations. The implementation
Complete OFDM system simulation program including modulation/demodulation with cyclic prefix insertion, IFFT/FFT operations, and channel modeling with comprehensive code implementation details
Digital Communication Modulation Signal Simulation System: Signal Types. MASK: 2ASK, 4ASK, 8ASK. MPSK: 2PSK, 4PSK, 8PSK. MFSK: 2FSK, 4FSK, 8FSK, divided into Continuous Phase (CPFSK) and Discrete Phase (DPFSK). MQAM: 16QAM, 32QAM, 64QAM, 128QAM. OFDM
GSM physical layer channel coding, modulation, channel simulation, synchronization search, channel estimation, equalization demodulation, and channel decoding with implementation insights
Analysis of beamspace MUSIC algorithm, statistical analysis of classical MUSIC algorithm with varying array elements, and smoothing-related matrix decomposition MUSIC algorithm with implementation insights
This MATLAB m-file implements MPSK (BPSK, QPSK, 8PSK) simulation with Gray coding, comparing theoretical and simulated performance metrics. The code demonstrates satellite link design examples using QPSK/8PSK when bit rate exceeds channel bandwidth,
Simulation of uplink and downlink communications in WCDMA multipath environment compliant with ETSI standards, developed by The Mobile and Portable Radio Research Group at The Bradley Department of Electrical and Computer Engineering, Virginia Polyte
OFDM modulation function consisting of two main steps: OFDM signal generation and OFDM signal modulation, with code-level implementation details.
MATLAB code simulating power control in LTE femtocell networks with two femtocell base stations and one user equipment, featuring path loss calculation and transmission power optimization algorithms.
Application Background: With the progressive development of 4G-LTE technology, there are increasing demands for higher communication quality and transmission speeds. MIMO technology enables multiple-input multiple-output configurations to enhance sys
Implementation of Double-Sideband Suppressed-Carrier (DSB-SC) modulation and demodulation using MATLAB or similar software tools. The code generates and visualizes: (1) Original signal and its frequency spectrum; (2) Carrier signal waveform; (3) DSB-
This program implements key functionalities for Multiple-Input Multiple-Output (MIMO) systems, including encoding schemes, channel simulation models, channel estimation algorithms, and SNR calculation methods. Each subroutine is designed to operate i
Source code implementation accompanying Jankiraman and Mohinder's work on Space-time Codes and MIMO Systems, featuring wireless communication algorithms and multi-antenna system implementations.
This code implements the optical flow algorithm proposed by Gautama, T. and Van Hulle, M.M. (2002) in "A Phase-based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering," IEEE Trans. Neural Networks, 13(5), 1127-1136. The alg
Comprehensive physical layer model for fixed WiMAX featuring adaptive coding and modulation schemes with transmission support for both OFDM and MIMO-OFDM configurations, including channel estimation and frequency synchronization capabilities.
A MATLAB-based modular fuel cell project adhering to IEEE standards, featuring comprehensive simulation and experimental validation processes.
Design of routing protocols for wireless sensor networks - LEACH is the first cluster-based routing protocol utilizing a multi-cluster architecture. It operates as a distributed protocol where each node probabilistically determines whether to become
A 2x2 MIMO-OFDM channel estimation model utilizing orthogonal frequency division multiplexing technology for accurate channel state estimation.
This code implements the Local Derivative Pattern (LDP) histogram computation algorithm based on the research by B Zhang, Y Gao, S Zhao and J Liu, as published in IEEE Transactions on Image Processing, February 2010, Volume 19, Issue 2. The implement
1. Original signal A is transmitted through a noise-contaminated channel to obtain signal q, which is then processed through ZF (Zero Forcing) and MMSE (Minimum Mean Square Error) equalizers to generate signal U with distribution plotting capabilitie