The nature of time—whether it is discrete or continuous—remains a topic of debate in physics and philosophy. In classical physics, time is typically treated as continuous, flowing smoothly from one moment to the next. However, some interpretations in quantum mechanics and theories like loop quantum gravity suggest that time may have discrete properties at the Planck scale. Ultimately, the question may hinge on future scientific discoveries and theoretical advancements.
The linear discrete time interval is used in the interpretation of continuous time and discrete valued: Quantized signal.
The Discrete Fourier Transform (DFT) is a specific mathematical algorithm used to compute the frequency spectrum of a finite sequence of discrete samples. In contrast, the Discrete-time Fourier Transform (DTFT) represents a continuous function of frequency for a discrete-time signal, allowing for the analysis of signals in the frequency domain over an infinite range. Essentially, the DFT is a sampled version of the DTFT, applied to a finite number of samples, whereas the DTFT provides a broader, continuous frequency representation of the signal.
data that can be counted, that does not show a change over time
Either fog occurs on a day, or it does not. Therefore it is a discrete value.
discrete
The linear discrete time interval is used in the interpretation of continuous time and discrete valued: Quantized signal.
It is discrete even though time itself is continuous.
Date is a discrete variable whereas date/time would be continuous.
time to learn a song for 4 hours, is this discrete or continuous data set?
The Discrete Fourier Transform (DFT) is a specific mathematical algorithm used to compute the frequency spectrum of a finite sequence of discrete samples. In contrast, the Discrete-time Fourier Transform (DTFT) represents a continuous function of frequency for a discrete-time signal, allowing for the analysis of signals in the frequency domain over an infinite range. Essentially, the DFT is a sampled version of the DTFT, applied to a finite number of samples, whereas the DTFT provides a broader, continuous frequency representation of the signal.
It is a discrete variable, as number of colds experienced by individuals would be one time, two times or so on. So, it is a finite category proving it a discrete variable.
continuos
how is time series applied in the business world today
data that can be counted, that does not show a change over time
is occupation decrte or coninus
A continuous signal is one that is measured over a time axis and has a value defined at every instance. The real world is continuous (ie. analog). A discrete signal is one that is defined at integers, and thus is undefined in between samples (digital is an example of a discrete signal, but discrete does not have to imply digital). Instead of a time axis, a discrete signal is gathered over a sampling axis. Discrete signals are usually denoted by x[k] or x[n], a continuous signal is x(t) for example. Laplace transforms are used for continuous analysis, Z-transforms are used for discrete analysis. Fourier transforms can be used for either.
Either fog occurs on a day, or it does not. Therefore it is a discrete value.