Signal statistics refer to the analysis and evaluation of signals or events over a specific period of time to identify patterns, frequencies, and trends. These statistics provide valuable insights for various applications such as monitoring systems, financial markets, or technical analyses.
Typical software functions in the area of "signal statistics" include:
Data Aggregation: Collecting and consolidating signal or event data from various sources.
Signal Detection: Automatically identifying and classifying signals based on predefined criteria.
Statistical Analyses: Applying statistical methods to calculate signal frequencies, averages, and deviations.
Visualization Tools: Graphically representing signal statistics through charts, heatmaps, or time series.
Alarm Functions: Automated notifications or alarms for specific signal events or changes.
Historical Analysis: Retrospective examination of signal trends to identify long-term patterns or seasonal variations.