MATLAB Code Implementation for Signal-to-Noise Ratio Estimation
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Resource Overview
SNR estimation code with accompanying IEEE reference paper, featuring MCRB simulation analysis under AWGN conditions
Detailed Documentation
This resource provides MATLAB code implementation for signal-to-noise ratio (SNR) estimation, accompanied by a relevant IEEE reference paper. The implementation includes Monte Carlo simulation analysis of the Modified Cramér-Rao Bound (MCRB) under Additive White Gaussian Noise (AWGN) conditions to validate the code's effectiveness and accuracy. The algorithm employs statistical signal processing techniques to estimate SNR parameters, utilizing functions for noise variance calculation and signal power measurement. The simulation framework demonstrates parameter estimation performance compared to theoretical bounds, with code structures handling signal generation, noise addition, and statistical analysis through iterative Monte Carlo runs.
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