Bilinear transform — where it appears
Named by 2 essays across 2 fields — each of them below, with the objects they name alongside it.
The corner where averaging stops working
Average N samples and the noise falls by √N. That is a statement about independent samples, and flicker noise's samples are not independent — its correlation extends over every time scale, which is what a spectrum with no bottom means. Measured on the same seeded stream filtered and not: the white sequence falls as the −0.510 power of the block length and the pink one as the −0.087 power, so a thousand-sample average buys a factor of 36.9 on one and 2.1 on the other.
The corner that moved
The bilinear transform has to fit an infinite frequency axis onto a circle, so something must be compressed, and what is compressed is everything near half the sample rate. A 4 kHz Butterworth mapped to a 48 kHz clock is 3.432 dB down at its own corner instead of 3.010, and at a quarter of the sample rate the axis is 15.2% out. Pre-warping puts one frequency back exactly and no other — it is a choice of where to be right, not a correction.
Named alongside it
The objects these essays reach for when they reach for this one.
AveragingBiquad cascadeConvergence orderCorrelation timeFilter familiesFrequency warpingNoise figureFlicker noisePolesZ plane