
Configuring Moving Average Filter Lengths for Decimated Signal Processing
Matching moving average filter length to the decimation factor eliminates alias leakage by placing transfer function zeros directly on downsampling fold points.

Matching moving average filter length to the decimation factor eliminates alias leakage by placing transfer function zeros directly on downsampling fold points.

Multi coil quadrature demodulation isolates amplitude and phase in inductive proximity chains, resolving sub-micron targets while rejecting thermal noise.

Root-mean-square noise equals spectral density multiplied by the square root of equivalent noise bandwidth, adjusted for flicker corner frequency integration.

Temperature cross-sensitivity in pressure sensors stems from physical die stress and semiconductor carrier shift, requiring digital ASIC polynomial compensation to control thermal error bands.

Cascaded sinc and boxcar filter window delays introduce deterministic group delays that subtract directly from control loop phase margin at crossover frequencies.

Aligning moving average filter lengths as integer multiples of ADC decimation rates eliminates aliasing foldover and maximizes noise bandwidth reduction.

Normalizing digitized bridge and temperature counts before solving polynomial matrix equations eliminates floating point overflow and preserves calibration accuracy.

Square the quotient of specified noise density over target resolution to establish the equivalent noise bandwidth required for averaging filter design.
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