The frequency of a guitar note can be determined by measuring the number of vibrations per second. This frequency is represented as a continuous value because it can vary smoothly across a range of pitches.
To answer this properly more context is needed but frequency is in most contexts continuous.
The two main kinds are discrete and continuous.
The frequency domain of a voice signal is normally continuous because voice is a nonperiodic 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.
Exponential functions are typically considered continuous because they are defined for all real numbers and have a smooth curve. However, they can also be represented in a discrete form when evaluated at specific intervals or points, such as in the context of discrete-time models. In such cases, the function takes on values at discrete points rather than over a continuous range. Thus, while exponential functions are inherently continuous, they can be adapted to discrete scenarios.
In signal processing, sampling is the reduction of a continuous signal to a discrete signal. A common example is the conversion of a sound wave (a continuous signal) to a sequence of samples (a discrete-time signal).
Some manufacturing is discrete, some continuous.
ocean depth is a continuous or discrete variable?
continuous discrete
Continuous
Continuous.
Continuous