Deterministic DSP Pipeline Design for Engineering Systems
Introduction Many signal processing workflows are built through experimentation. Engineers inspect spectra, adjust parameters, and repeat analysis until the output appears satisfactory. While this approach can work for exploratory research, it often produces unstable pipelines in production systems. Small changes in signal conditions may produce dramatically different results. Deterministic DSP pipelines address this problem by structuring signal analysis and decision logic explicitly. What This Article Covers This article explains: why trial-and-error DSP workflows fail what deterministic DSP pipelines are how signal characterization enables automation how verification improves reliability Trial-and-Error DSP Workflows In many engineering environments, signal processing pipelines evolve incrementally. ...