Blind Equalization Constant Modulus Algorithm for Channel Equalization
A blind equalization constant modulus algorithm for channel equalization, featuring effective ISI suppression and rapid convergence speed with adaptive weight optimization.
Professional MATLAB source code with comprehensive documentation and examples
A blind equalization constant modulus algorithm for channel equalization, featuring effective ISI suppression and rapid convergence speed with adaptive weight optimization.
This MATLAB .m file implements transmission network expansion planning based on the Artificial Fish Swarm Algorithm (AFSA) using the IEEE 6-node system model. The implementation includes key subroutines for power flow calculation, overload assessment
Design and MATLAB implementation of a comprehensive mobile communication system physical layer transmission scheme for WiMAX applications, meeting the following specifications: 1. Data rate: 60 Mbps at 5 km/hr mobility and 10 Mbps at 120 km/hr mobili
Highly efficient OFDMA adaptive resource allocation program developed through extensive research, featuring optimized algorithms for superior system performance enhancement.
MATLAB Code Implementation for Jankiraman and Mohinder's Space-Time Coding and MIMO Systems Research
Direction of Arrival (DOA) and Direction of Departure (DOD) Estimation for MIMO Radar Systems with 2D-MUSIC Algorithm Implementation
Implementation of signal modulation and demodulation functions, including various modulation schemes such as ASK (Amplitude Shift Keying), PSK (Phase Shift Keying), and FSK (Frequency Shift Keying) with practical code implementation details.
Performance simulation of MC-CDMA systems under Gaussian channel conditions with two-path multipath interference, including code synchronization issues. Detailed implementation includes MATLAB-based modeling of orthogonal frequency division multiplex
A power flow calculation program implemented using the Newton-Raphson method, featuring IEEE standard input format compatibility, clear algorithmic structure, and strong adaptability for various power system scenarios.
Simulation of shortwave frequency-hopping signal protocol incorporating multipath effects to evaluate transmission accuracy and reliability
CR's common physical layer detection algorithms include: matched filter detection, energy detection, and cyclostationary feature detection, with implementation considerations for each approach.
Traditional convolutional codes and Turbo codes remain widely used today, but both exhibit a significant drawback in information transmission. To address this limitation, the IEEE 802.16d/e standard introduced the Convolutional Turbo Code (CTC) encod
A simulation program for digital channelizer that models the sub-channel extraction process when the input number of channels is even, featuring algorithm implementation details and key functions
RSSI-based wireless sensor network localization algorithm implementation with practical code considerations
Comprehensive implementation of MTE (Minimum Total Energy) code for Wireless Sensor Network (WSN) classical algorithms, featuring detailed 3D plotting capabilities and practical code examples for network simulation and analysis.
Analysis of inter-symbol interference across varying channel conditions, including waveform diagrams and eye pattern visualizations with code implementation approaches.
MATLAB implementation of communication system featuring continuous phase modulation (MSK) and demodulation with code-level descriptions.
MATLAB program implementing Gallager's regular LDPC code construction method proposed in 1962, designed to generate corresponding LDPC parity-check matrices. The program accepts code length, column weight, and row weight as input parameters to produc
Analysis routines for several BOC signals, with code implementation details for GNSS applications. As Global Navigation Satellite Systems increasingly adopt BOC modulated signals for spread-spectrum ranging, these routines address the challenge of mu
Comprehensive performance analysis of MIMO precoding techniques with focus on linear Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) algorithms, including mathematical formulations and implementation considerations.