The linear discrete time interval is used in the interpretation of continuous time and discrete valued: Quantized 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
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?
NO . the period of a discrete time periodic signal cannot be in fractions. note that the fundamental period of a discrete time signal is given by. N=m(6.2831/Wo) Where Wo is the fundamental frequency and N and m are integers...
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
is occupation decrte or coninus
how is time series applied in the business world today
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.
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.