Engineering Metrics for DSP Filter Verification: Proving Performance Before Deployment
Introduction Most DSP failures in production are not caused by “bad math”. They are caused by unverified assumptions. Engineers approve a design because: “the spectrum looks cleaner” “the notch looks deep” “the plot seems fine” But visual plots are not verification evidence. This pillar defines a verification-first approach: define what must be proven measure metrics robustly under noise and drift define pass/fail criteria that survive regression reject designs that look good but fail numerically or statistically Why Visual Spectra Are Not Verification Spectra lie in noisy environments because: ...