
In
physics
Physics is the natural science that studies matter, its fundamental constituents, its motion and behavior through space and time, and the related entities of energy and force. "Physical science is that department of knowledge which rel ...
,
electronics
The field of electronics is a branch of physics and electrical engineering that deals with the emission, behaviour and effects of electrons using electronic devices. Electronics uses active devices to control electron flow by amplification ...
,
control systems engineering, and
statistics, the frequency domain refers to the analysis of
mathematical functions or
signals with respect to
frequency
Frequency is the number of occurrences of a repeating event per unit of time. It is also occasionally referred to as ''temporal frequency'' for clarity, and is distinct from '' angular frequency''. Frequency is measured in hertz (Hz) which is ...
, rather than time. Put simply, a
time-domain graph shows how a signal changes over time, whereas a frequency-domain graph shows how much of the signal lies within each given frequency band over a range of frequencies. A frequency-domain representation can also include information on the
phase shift that must be applied to each
sinusoid in order to be able to recombine the frequency components to recover the original time signal.
A given function or signal can be converted between the time and frequency domains with a pair of mathematical
operators called
transforms. An example is the
Fourier transform
A Fourier transform (FT) is a mathematical transform that decomposes functions into frequency components, which are represented by the output of the transform as a function of frequency. Most commonly functions of time or space are transformed, ...
, which converts a time function into a complex valued sum or integral of
sine waves of different frequencies, with amplitudes and phases, each of which represents a frequency component. The "
spectrum
A spectrum (plural ''spectra'' or ''spectrums'') is a condition that is not limited to a specific set of values but can vary, without gaps, across a continuum. The word was first used scientifically in optics to describe the rainbow of color ...
" of frequency components is the frequency-domain representation of the signal. The
inverse Fourier transform converts the frequency-domain function back to the time-domain function. A
spectrum analyzer is a tool commonly used to visualize
electronic signals in the frequency domain.
Some specialized signal processing techniques use transforms that result in a joint
time–frequency domain, with the
instantaneous frequency being a key link between the time domain and the frequency domain.
Advantages
One of the main reasons for using a frequency-domain representation of a problem is to simplify the mathematical analysis. For mathematical systems governed by
linear differential equations, a very important class of systems with many real-world applications, converting the description of the system from the time domain to a frequency domain converts the
differential equations to
algebraic equations, which are much easier to solve.
In addition, looking at a system from the point of view of frequency can often give an intuitive understanding of the qualitative behavior of the system, and a revealing scientific nomenclature has grown up to describe it, characterizing the behavior of physical systems to time varying inputs using terms such as
bandwidth,
frequency response,
gain,
phase shift,
resonant frequencies,
time constant,
resonance width,
damping factor
Damping is an influence within or upon an oscillatory system that has the effect of reducing or preventing its oscillation. In physical systems, damping is produced by processes that dissipate the energy stored in the oscillation. Examples i ...
,
Q factor,
harmonics,
spectrum
A spectrum (plural ''spectra'' or ''spectrums'') is a condition that is not limited to a specific set of values but can vary, without gaps, across a continuum. The word was first used scientifically in optics to describe the rainbow of color ...
,
power spectral density
The power spectrum S_(f) of a time series x(t) describes the distribution of power into frequency components composing that signal. According to Fourier analysis, any physical signal can be decomposed into a number of discrete frequencies, ...
,
eigenvalue
In linear algebra, an eigenvector () or characteristic vector of a linear transformation is a nonzero vector that changes at most by a scalar factor when that linear transformation is applied to it. The corresponding eigenvalue, often denot ...
s,
poles, and
zeros.
An example of a field in which frequency-domain analysis gives a better understanding than time domain is
music
Music is generally defined as the The arts, art of arranging sound to create some combination of Musical form, form, harmony, melody, rhythm or otherwise Musical expression, expressive content. Exact definition of music, definitions of mu ...
; the theory of operation of musical instruments and the
musical notation
Music notation or musical notation is any system used to visually represent aurally perceived music played with instruments or sung by the human voice through the use of written, printed, or otherwise-produced symbols, including notation fo ...
used to record and discuss pieces of music is implicitly based on the breaking down of complex sounds into their separate component frequencies (
musical notes).
Magnitude and phase
In using the
Laplace,
Z-, or Fourier transforms, a signal is described by a
complex function of frequency: the component of the signal at any given frequency is given by a
complex number
In mathematics, a complex number is an element of a number system that extends the real numbers with a specific element denoted , called the imaginary unit and satisfying the equation i^= -1; every complex number can be expressed in the for ...
. The
modulus of the number is the
amplitude
The amplitude of a periodic variable is a measure of its change in a single period (such as time or spatial period). The amplitude of a non-periodic signal is its magnitude compared with a reference value. There are various definitions of a ...
of that component, and the
argument
An argument is a statement or group of statements called premises intended to determine the degree of truth or acceptability of another statement called conclusion. Arguments can be studied from three main perspectives: the logical, the dialect ...
is the relative phase of the wave. For example, using the Fourier transform, a
sound wave, such as human speech, can be broken down into its component tones of different frequencies, each represented by a sine wave of a different amplitude and phase. The response of a system, as a function of frequency, can also be described by a complex function. In many applications, phase information is not important. By discarding the phase information, it is possible to simplify the information in a frequency-domain representation to generate a
frequency spectrum or
spectral density. A
spectrum analyzer is a device that displays the spectrum, while the time-domain signal can be seen on an
oscilloscope.
Types
Although "''the''" frequency domain is spoken of in the singular, there are a number of different mathematical transforms which are used to analyze time-domain functions and are referred to as "frequency domain" methods. These are the most common transforms, and the fields in which they are used:
*
Fourier series
A Fourier series () is a summation of harmonically related sinusoidal functions, also known as components or harmonics. The result of the summation is a periodic function whose functional form is determined by the choices of cycle length (or '' ...
– periodic signals,
oscillating
Oscillation is the repetitive or periodic variation, typically in time, of some measure about a central value (often a point of equilibrium) or between two or more different states. Familiar examples of oscillation include a swinging pendulum ...
systems.
*
Fourier transform
A Fourier transform (FT) is a mathematical transform that decomposes functions into frequency components, which are represented by the output of the transform as a function of frequency. Most commonly functions of time or space are transformed, ...
– aperiodic signals, transients.
*
Laplace transform
In mathematics, the Laplace transform, named after its discoverer Pierre-Simon Laplace (), is an integral transform that converts a function of a real variable (usually t, in the ''time domain'') to a function of a complex variable s (in the ...
–
electronic circuits and
control system
A control system manages, commands, directs, or regulates the behavior of other devices or systems using control loops. It can range from a single home heating controller using a thermostat controlling a domestic boiler to large industrial ...
s.
*
Z transform –
discrete-time signals,
digital signal processing
Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. The digital signals processed in this manner ar ...
.
*
Wavelet transform — image analysis,
data compression
In information theory, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original representation. Any particular compression is either lossy or lossless. Lossless compressi ...
.
More generally, one can speak of the with respect to any transform. The above transforms can be interpreted as capturing some form of frequency, and hence the transform domain is referred to as a frequency domain.
Discrete frequency domain
A discrete frequency domain is a frequency domain that is
discrete rather than
continuous.
For example, the
discrete Fourier transform
In mathematics, the discrete Fourier transform (DFT) converts a finite sequence of equally-spaced Sampling (signal processing), samples of a function (mathematics), function into a same-length sequence of equally-spaced samples of the discre ...
maps a function having a
discrete time domain into one having a discrete frequency domain. The
discrete-time Fourier transform, on the other hand, maps functions with discrete time (
discrete-time signals) to functions that have a continuous frequency domain.
The Fourier transform of a
periodic signal has energy only at a base frequency and its harmonics. Another way of saying this is that a periodic signal can be analyzed using a discrete frequency domain. Dually, a
discrete-time signal gives rise to a periodic frequency spectrum. Combining these two, if we start with a time signal which is both discrete and periodic, we get a frequency spectrum which is also both discrete and periodic. This is the usual context for a
discrete Fourier transform
In mathematics, the discrete Fourier transform (DFT) converts a finite sequence of equally-spaced Sampling (signal processing), samples of a function (mathematics), function into a same-length sequence of equally-spaced samples of the discre ...
.
History of term
The use of the terms "frequency domain" and "
time domain
Time domain refers to the analysis of mathematical functions, physical signals or time series of economic or environmental data, with respect to time. In the time domain, the signal or function's value is known for all real numbers, for the ...
" arose in communication engineering in the 1950s and early 1960s, with "frequency domain" appearing in 1953. See
time domain: origin of term for details.
Earliest Known Uses of Some of the Words of Mathematics (T)
Jeff Miller, March 25, 2009
See also
* Bandwidth
* Blackman–Tukey transformation
The Blackman–Tukey transformation (or Blackman–Tukey method) is a digital signal processing method to transform data from the time domain to the frequency domain. It was originally programmed around 1953 by James Cooley for John Tukey at Jo ...
* Fourier analysis for computing periodicity in evenly spaced data
* Least-squares spectral analysis for computing periodicity in unevenly spaced data
* Short-time Fourier transform
* Time–frequency representation
* Time–frequency analysis
* Wavelet
* Wavelet transform – digital image processing, signal compression
References
Goldshleger, N., Shamir, O., Basson, U., Zaady, E. (2019). Frequency Domain Electromagnetic Method (FDEM) as tool to study contamination at the sub-soil layer. Geoscience 9 (9), 382.
Further reading
*.
*.
{{DEFAULTSORT:Frequency Domain
Frequency-domain analysis