Why Over-Optimization Breaks DSP Filters in Production Systems
Introduction Modern DSP tools can generate filters that look mathematically perfect: razor-sharp notches extreme stopband attenuation minimal theoretical error In simulation, these designs often appear ideal. In production systems, they frequently become unstable, fragile, or harmful. This article explains why over-optimized DSP filters break in real-world deployments and how engineering-grade design avoids these failures. The Optimization Mindset Most automated design tools aim to: minimize spectral error maximize attenuation push constraints to their limits The result is often: ...