Explore MATLAB source code curated for "mmse" with clean implementations, documentation, and examples.
An overview of precoding algorithms in MIMO systems, including mainstream approaches such as Matched Filtering, Zero-Forcing, MMSE, Optimal Signal-to-Leakage-and-Noise Ratio, and Block Diagonalization, with implementation insights.
This package contains comprehensive simulation code for both SC-FDE and SC-FDMA systems, featuring BER performance comparisons under Zadoff-Chu (ZC) and MMSE criteria implementations. Includes key reference papers and detailed code annotations. All PAPR simulation modules are executable with clear MATLAB/Octave implementation approaches.
Several detection schemes for MIMO systems including ZF, MMSE, and ML decoding. The first two methods (ZF and MMSE) are fully operational with optimized implementations, while the ML decoding scheme currently faces technical challenges requiring further debugging and algorithm refinement.
Comparative study of multi-user detection techniques including decorrelating detectors, minimum mean square error (MMSE) detection, and conventional detection methods with MATLAB implementation examples and performance analysis.
Comprehensive analysis of OFDM channel estimation techniques including LS, MMSE, and LMMSE algorithms, along with various interpolation methods and their practical implementation considerations.
OFDM channel estimation and equalization simulation program featuring MMSE, LS, and ZF methods with code implementation details.
This code demonstrates the Bit Error Rate (BER) performance curves for Maximum Likelihood (ML), Minimum Mean Square Error (MMSE), Zero Forcing (ZF), and MMSE with Successive Interference Cancellation (MMSE-SIC) detection algorithms in MIMO systems, providing implementation insights for each detection method.
OFDM simulation program implementing and comparing various channel estimation methods including LS, MMSE, LMMSE, and DCT approaches, with the main program named "ofdm" controlling the complete simulation workflow.
Simulation of Multi-User MIMO algorithms including Block Diagonalization (BD), Zero Forcing (ZF), and Minimum Mean Square Error (MMSE) with implementation analysis
Implementation of MMSE-based channel estimation for MIMO OFDM systems with code structure and algorithm explanation.