I have a sensor producing bandlimited data at a predictable periodic rate, corrupted by IID white noise (at least over relatively short periods of time). There is also a slowly time-varying bias, which can safely be ignored as it is several orders of magnitude smaller than the white noise.
Is this set of coefficients good in the presence of noise, or is there a better way to perform this estimate? What factors will the new method depend on?
Ideally, the method will be computationally cheap as it will be run at a high rate on an embedded platform ...