Explore MATLAB source code curated for "检测算法" with clean implementations, documentation, and examples.
Comprehensive overview of detection algorithms for MIMO-OFDM systems, including detailed explanations, comparative analysis, and practical implementation considerations with code-related insights for algorithm development.
This program simulates V-BLAST systems and their detection algorithms, supporting BPSK, QPSK, 16QAM, and 64QAM modulation schemes. The implemented detection algorithms include ML (Maximum Likelihood), MMSE (Minimum Mean Square Error), ZF (Zero Forcing), and SIC-ZF (Successive Interference Cancellation with Zero Forcing). The code structure modularizes key components such as modulation mapping, channel matrix generation, and detection modules for flexible performance comparison.
This program simulates V-BLAST systems with multiple detection algorithms, supporting BPSK, QPSK, 16QAM, and 64QAM modulation schemes. The implemented detection methods include Maximum Likelihood (ML), Minimum Mean Square Error (MMSE), Zero-Forcing (ZF), and Zero-Forcing Successive Interference Cancellation (ZF-SIC) algorithms.
A heart sound QRS wave detection algorithm that facilitates cardiac acoustic research through advanced signal processing techniques.
A commonly used space division multiplexing MIMO system featuring V-BLAST architecture with various detection algorithms: Maximum Likelihood (ML), Minimum Mean Square Error (MMSE), Zero Forcing (ZF), and Zero Forcing with Successive Interference Cancellation (ZF-SIC) detection algorithm
Implementation of audio watermarking algorithm including watermark embedding, commonly used audio watermark attacks, and detection algorithm realization with code-level implementation insights.
An LBP-based feature extraction detection algorithm for face recognition offers enhanced precision, making it the preferred choice for facial recognition feature extraction with robust implementation capabilities.
This MIMO-OFDM system simulation implements a 2x2 transceiver configuration with 64 OFDM subcarriers, utilizing iterative detection algorithms for MIMO processing. The simulation provides insights into MIMO-OFDM system operations and iterative receiver principles, with code implementation covering channel modeling, signal processing chains, and algorithm convergence analysis.
This work presents a simulation study of a dual-cooperative detection algorithm designed for idle spectrum sensing in cognitive radio systems, featuring implementation analysis and performance validation through MATLAB-based experiments.