Description

This Master Prompt integrates signal acquisition, preprocessing, representation, modelling, interpretation and implementation into a coherent research framework. It addresses alignment among research questions and evidence, complete-pipeline evaluation, computational efficiency, embedded processing, uncertainty, reproducibility and transparent reporting. Drawing on the supplied studies of processor-in-the-loop sEMG estimation, constrained adaptive filtering, pump-turbine analysis, multimodal monitoring, physiological signal cleansing and GNSS processing, it examines the difference between strong intermediate results and validated application-level performance. Particular attention is given to causal information availability, buffering, latency, memory requirements, numerical precision, robustness and independent testing. Emerging computational approaches may be discussed where appropriate evidence exists, with clear distinctions among theoretical proposals, simulations and implemented systems. The framework supports defensible synthesis that explains what the research achieved, under which conditions it remains reliable and what additional evidence is needed for broader use.