Explore MATLAB source code curated for "LS" with clean implementations, documentation, and examples.
This uploaded code implements a comprehensive channel estimation system including signal generation, modulation, pilot signal insertion, inverse Fourier transform, cyclic prefix addition, multipath channel transmission, signal demodulation, and employs both LS (Least Squares) and MMSE (Minimum Mean Square Error) algorithms for channel estimation - representing a well-developed algorithmic framework.
This code provides implementations of mainstream channel estimation algorithms for massive MIMO systems, including LS, MMSE, and LMMSE methods. The implementation includes comprehensive comparison studies under both static and quasi-static channel conditions, offering substantial reference value for understanding channel estimation techniques. All code is thoroughly documented and guaranteed to execute properly.
Channel estimation techniques in OFDM systems include LS (Least Squares), MMSE (Minimum Mean Square Error), and LMMSE (Linear Minimum Mean Square Error) methods with implementation approaches
Source code implementations of digital signal processing algorithms including AR model, BT algorithm, LS, RLS, LMS, MUSIC, and other signal processing techniques with detailed code-related explanations
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.
Simulation of OFDM channel estimation system implementing Least Squares (LS) and LS/DFT estimation algorithms with linear interpolation, featuring comparative Bit Error Rate (BER) analysis across different estimation methods with MATLAB implementation insights
MATLAB simulation implementation of DPD pre-distortion algorithm featuring adaptive algorithms including LMS, RLS, and LS with code implementation details
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.
A comprehensive OFDM wireless channel estimation program featuring pilot insertion, signal generation, Least Squares (LS) and Linear Minimum Mean Square Error (LMMSE) estimation algorithms. The implementation includes serial-to-parallel conversion, QPSK modulation, training signal integration, channel simulation, and channel reception processes.