cbadc.fom.FoM_S
- cbadc.fom.FoM_S(P, fs, SNR)[source]
The Schreier figure fo merit.
\(f(P, f_s, \text{SNR}) = \text{SNR} + 10 \log\left(\frac{f_s}{2 \cdot P}\right)\)
From the book Understanding Delta-Sigma Data Converters.
- Parameters
P (float) – power consumption.
fs (float) – the sampling frequency.
SNR (float) – the signal-to-noise (SNR) ratio.
- Returns
Schreier’s figure of merit.
- Return type
float