Pulsessuch

Pulsessuch refers to the process of identifying and locating pulses within a time-series signal. The term combines German origins Puls (pulse) and Such (search). In practice, pulsessuch encompasses various detection strategies used to pick out transient, pulse-like events from noisy data. It is applied across disciplines including astrophysics (pulsar searches in radio data), medicine (detection of heartbeats or pulse-like features in physiological signals), communications (synchronization and demodulation relying on pulse shapes), and geophysics (pulse detection in seismic waveforms).

Methods used in pulsessuch include threshold-based detection, matched filtering where a template pulse is convolved with the signal, and more advanced approaches such as adaptive thresholding, wavelet transform, and machine learning classifiers. In pulsar searches, people use periodicity searches, Fourier transforms, and acceleration searches to account for motion in binary systems. For medical signals, pulse detection may employ peak detection algorithms, derivative-based methods, or robust statistics to handle noise and irregular heart rhythms.

Challenges include noise, pulse variability, timing jitter, and false positives. The intended outcome is reliable timing and counting of pulses, estimating pulse periods, amplitudes, and arrival times. The term is not universally standardized and may be described with discipline-specific terminology, such as pulse detection, peak finding, or event detection.