Classic Signal-to-Noise Ratio Estimation Algorithm

This code implements a classic signal-to-noise ratio (SNR) estimation algorithm. The algorithm is based on the statistical principle of moment estimation, specifically using the 2nd and 4th order moments of signals to estimate the SNR of received signals. The signal-to-noise ratio represents the proportional relationship between signal strength and noise intensity, serving as a crucial metric for measuring communication quality and reliability. In the implementation, the algorithm calculates statistical moments from digitized signal samples, where the 2nd moment corresponds to signal power and the 4th moment helps separate signal and noise components. This approach is particularly valuable in wireless communication systems where accurate SNR estimation directly impacts system performance evaluation and optimization. Key functions in the code typically include signal preprocessing, moment calculation routines, and SNR computation using mathematical relationships between different order moments. The method provides a computationally efficient solution for real-time SNR monitoring in communication systems, enabling effective performance assessment and system improvement strategies.