Signal-to-Noise Ratio Calculation Tool (snr2.m)

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Resource Overview

Custom-developed SNR calculation tool snr2.m with function signature: snr2(s2ana, fs, f0, fl, fh, bl, bh). Parameters: s2ana - input signal for analysis, fs - sampling frequency, f0 - fundamental signal frequency, [fl, fh] - signal energy distribution band, [bl, bh] - noise bandwidth range. The algorithm separates signal and noise components through frequency-domain analysis.

Detailed Documentation

This documentation describes a custom-developed Signal-to-Noise Ratio (SNR) calculation tool implemented in snr2.m. The core function snr2() performs frequency-domain analysis by taking parameters: s2ana (input signal), fs (sampling frequency), f0 (fundamental frequency), [fl, fh] (signal energy band), and [bl, bh] (noise reference band). The implementation calculates power spectral density using FFT, isolates signal energy within the specified [fl, fh] band, and computes noise power from the [bl, bh] region. This tool provides accurate SNR measurements for quantitative signal quality assessment, enabling researchers to evaluate noise levels and optimize signal processing algorithms. The function returns the SNR value in decibels (dB) for further analytical applications.

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