Explore MATLAB source code curated for "注水算法" with clean implementations, documentation, and examples.
The water-filling algorithm serves as the fundamental algorithm for subcarrier and channel allocation in OFDM, with many enhanced algorithms built upon its principles to optimize performance.
MATLAB simulation for implementing water-filling algorithm code in power allocation optimization, including algorithm principles, practical implementation approaches, and performance verification techniques.
Classical water-filling algorithm implementation for calculating system power and subcarrier allocation with MATLAB-compatible pseudo-code illustration.
The water-filling theorem computes channel capacity primarily through the water-filling algorithm, which is highly useful for optimizing power allocation in communication systems
MATLAB implementation of the classic water-filling power control algorithm for wireless communication systems.
Power optimization in MIMO systems can be achieved through Singular Value Decomposition (SVD) and water-filling algorithms, enabling efficient power allocation across multiple transmit antennas with capacity-maximizing techniques.
A robust implementation of the water-filling algorithm for cognitive radio applications, featuring error-free operation and immediate usability with comprehensive code-level documentation
A hands-on demonstration of MIMO water-filling principle implementation, facilitating understanding of SVD decomposition, water-filling algorithms, and power allocation strategies across multiple transmit antennas with code-level insights.
Code for the classical water-filling algorithm in communications, commonly invoked for subcarrier and power allocation in OFDM systems
MATLAB simulation code for OFDM water-filling algorithm enabling system simulation with sub-functions for comprehensive communication system analysis