In LMS adaptive FIR filter, the filter coefficients are updated using the LMS algorithm to be described briefly in the next section. There are various ways the coefficients are updated, including ...

This adaptive noise canceller is then useful for enhancing the S/N ratio of data collected from sensors (or sensor arrays) working in noisy environment, or dealing with potentially weak signals.

When searching ΔΣ modulator transfer functions using the LMS-based coefficient search algorithm described above, the number of tap coefficients required by the FIR digital filter was very large ...

In addition, by using shift registers to store reference signal data, Renesas and Hitachi developed a new calibration circuit using an LMS algorithm that was not affected by sub-sampling.