tidsdomenedata
Time-domain data refers to measurements of a quantity as it varies over time. In practice it records amplitude as a function of time and is used for direct observation of signal behavior, transients, and events. In digital systems, data are discrete samples captured at a fixed sampling rate. The sampling theorem states that to avoid aliasing the sampling rate must be at least twice the highest frequency present in the signal.
A time-domain dataset can be visualized as a waveform or as a sequence of pairs (time, amplitude).
Time-domain analysis focuses on how the signal changes over time. Simple statistics such as mean, root-mean-square,
In contrast to the frequency domain, which describes the signal’s spectral content, the time-domain representation preserves
Applications include audio processing, biomedical signals (ECG, EEG), and industrial sensor data. Data quality hinges on