Wavelet Peak Finding for Overlapping Mass Spectrum Signals

The patent applies dynamics by making the peak detection system adaptive to varying peak widths through iterative detection. The algorithm dynamically adjusts detection parameters based on previously detected peaks, allowing it to handle overlapping peaks with different widths effectively. This is achieved through the iterative process where each detection cycle refines the parameters for the next cycle.

The patent employs parameter changes by modifying detection thresholds and width parameters during the iterative detection process. The system changes parameters based on the characteristics of detected peaks, allowing accurate identification of overlapping peaks with varying widths. This is evident in how the algorithm adjusts its detection criteria in subsequent iterations based on previous results.

The patent applies preliminary action by performing an initial detection pass to identify dominant peak widths before proceeding with refined detection. This preliminary step allows the system to establish baseline parameters that improve consistency in subsequent detections while maintaining overall efficiency. The initial detection informs the parameters used in later iterative cycles.

The patent implements feedback through its iterative detection mechanism where results from each detection cycle feed into the next cycle's parameter selection. This feedback loop ensures that detection consistency is improved by learning from previous detections, while the automated iterative process maintains productivity without requiring manual intervention.