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Distortion
Distortion
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In signal processing, distortion is the alteration of the original shape (or other characteristic) of a signal. In communications and electronics it means the alteration of the waveform of an information-bearing signal, such as an audio signal representing sound or a video signal representing images, in an electronic device or communication channel.

Distortion is usually unwanted, and so engineers strive to eliminate or minimize it. In some situations, however, distortion may be desirable. For example, in noise reduction systems like the Dolby system, an audio signal is deliberately distorted in ways that emphasize aspects of the signal that are subject to electrical noise, then it is symmetrically "undistorted" after passing through a noisy communication channel, reducing the noise in the received signal. Distortion is also used as a musical effect, particularly with electric guitars.

The addition of noise or other outside signals (hum, interference) is not considered distortion, though the effects of quantization distortion are sometimes included in noise. Quality measures that reflect both noise and distortion include the signal-to-noise and distortion (SINAD) ratio and total harmonic distortion plus noise (THD+N).

Electronic signals

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In telecommunications and signal processing, a noise-free system can be characterised by a transfer function, such that the output can be written as a function of the input as

When the transfer function comprises only a perfect gain constant A and perfect delay T

the output is undistorted. Distortion occurs when the transfer function F is more complicated than this. If F is a linear function, for instance a filter whose gain and/or delay varies with frequency, the signal suffers linear distortion. Linear distortion does not introduce new frequency components to a signal but does alter the balance of existing ones.

Graph of a waveform and some distorted versions of the same waveform

This diagram shows the behaviour of a signal (made up of a square wave followed by a sine wave) as it is passed through various distorting functions.

  1. The first trace (in black) shows the input. It also shows the output from a non-distorting transfer function (straight line).
  2. A high-pass filter (green trace) distorts the shape of a square wave by reducing its low frequency components. This is the cause of the "droop" seen on the top of the pulses. This "pulse distortion" can be very significant when a train of pulses must pass through an AC-coupled (high-pass filtered) amplifier. As the sine wave contains only one frequency, its shape is unaltered.
  3. A low-pass filter (blue trace) rounds the pulses by removing the high frequency components. All systems are low pass to some extent. Note that the phase of the sine wave is different for the lowpass and the highpass cases, due to the phase distortion of the filters.
  4. A slightly non-linear transfer function (purple), this one gently compresses the peaks of the sine wave, as may be typical of a tube audio amplifier. This generates small amounts of low order harmonics.
  5. A hard-clipping transfer function (red) generates high order harmonics. Parts of the transfer function are flat, which indicates that all information about the input signal has been lost in this region.

The transfer function of an ideal amplifier, with perfect gain and delay, is only an approximation. The true behavior of the system is usually different. Nonlinearities in the transfer function of an active device (such as vacuum tubes, transistors, and operational amplifiers) are a common source of non-linear distortion; in passive components (such as a coaxial cable or optical fiber), linear distortion can be caused by inhomogeneities, reflections, and so on in the propagation path.

Amplitude distortion

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Amplitude distortion is distortion occurring in a system, subsystem, or device when the output amplitude is not a linear function of the input amplitude under specified conditions.

Harmonic distortion

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Harmonic distortion adds overtones that are whole number multiples of a sound wave's frequencies.[1] Nonlinearities that give rise to amplitude distortion in audio systems are most often measured in terms of the harmonics (overtones) added to a pure sinewave fed to the system. Harmonic distortion may be expressed in terms of the relative strength of individual components, in decibels, or the root mean square of all harmonic components: Total harmonic distortion (THD), as a percentage. The level at which harmonic distortion becomes audible depends on the exact nature of the distortion. Different types of distortion (like crossover distortion) are more audible than others (like soft clipping) even if the THD measurements are identical. Harmonic distortion in radio frequency applications is rarely expressed as THD.

Frequency response distortion

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Non-flat frequency response is a form of distortion that occurs when different frequencies are amplified by different amounts in a filter. For example, the non-uniform frequency response curve of AC-coupled cascade amplifier is an example of frequency distortion. In the audio case, this is mainly caused by room acoustics, poor loudspeakers and microphones, long loudspeaker cables in combination with frequency dependent loudspeaker impedance, etc.

Phase distortion

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This form of distortion mostly occurs due to electrical reactance. Here, all the components of the input signal are not amplified with the same phase shift, hence making some parts of the output signal out of phase with the rest of the output.

Group delay distortion

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Can be found only in dispersive media. In a waveguide, phase velocity varies with frequency. In a filter, group delay tends to peak near the cut-off frequency, resulting in pulse distortion. When analog long distance trunks were commonplace, for example in 12 channel carrier, group delay distortion had to be corrected in repeaters.

Correction of distortion

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As the system output is given by y(t) = F(x(t)), then if the inverse function F−1 can be found, and used intentionally to distort either the input or the output of the system, then the distortion is corrected.

An example of a similar correction is where LP/vinyl recordings or FM audio transmissions are deliberately pre-emphasised by a linear filter, the reproducing system applies an inverse filter to make the overall system undistorted.

Correction is not possible if the inverse does not exist—for instance if the transfer function has flat spots (the inverse would map multiple input points to a single output point). This produces an uncorrectable loss of information. Such a situation can occur when an amplifier is overdriven—causing clipping or slew rate distortion when, for a moment, the amplifier characteristics alone and not the input signal determine the output.

Cancellation of even-order harmonic distortion

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Many symmetrical electronic circuits reduce the magnitude of even harmonics generated by the non-linearities of the amplifier's components, by combining two signals from opposite halves of the circuit where distortion components that are roughly the same magnitude but out of phase. Examples include push-pull amplifiers and long-tailed pairs.

Teletypewriter or modem signaling

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In binary signaling such as FSK, distortion is the shifting of the significant instants of the signal pulses from their proper positions relative to the beginning of the start pulse. The magnitude of the distortion is expressed in percent of an ideal unit pulse length. This is sometimes called bias distortion.

Telegraphic distortion is a similar and older problem, distorting the ratio between mark and space intervals.[2]

Audio distortion

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A graph of a waveform and the distorted version of the same waveform

With respect to audio, distortion refers to any kind of deformation of an output waveform compared to its input, usually clipping, harmonic distortion, or intermodulation distortion (mixing phenomena) caused by non-linear behavior of electronic components and power supply limitations.[3] Terms for specific types of nonlinear audio distortion include: crossover distortion and slew-induced distortion (SID).

Other forms of audio distortion are non-flat frequency response, compression, modulation, aliasing, quantization noise, wow and flutter from analog media such as vinyl records and magnetic tape. The human ear cannot hear phase distortion, except that it may affect the stereo imaging.

In most fields, distortion is characterized as unwanted change to a signal. Distortion in music is often intentionally used as an effect when applied to an electric guitar signal in styles of rock music such as heavy metal and punk rock.

Distortion in art

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In the visual arts a distortion is any change made by an artist to the size, shape or visual character of a form in order to express an idea, convey a feeling, or enhance visual impact. Such distortions or "abstractions" primarily refer to purposeful deviations from photorealistic perspective or from realistic proportionality. Examples include "The Weeping Woman" by Picasso and "The Adoration of the Shepherds" by El Greco, whose human subject matters are irregularly and (as is often with physical distortions) asymmetrically proportioned in a way that is not possible in standard perspective.

Optics

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In optics, image/optical distortion is a divergence from rectilinear projection caused by a change in magnification with increasing distance from the optical axis of an optical system.

Map projections

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In cartography, a distortion is the misrepresentation of the area or shape of a feature. The Mercator projection, for example, distorts by exaggerating the size of regions at high latitude.

See also

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References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
Distortion refers to any undesired alteration in the shape, magnitude, or other characteristics of a , , or from its original form, commonly arising in fields such as , , and acoustics due to nonlinear effects or imperfections in systems. In signal processing and , distortion manifests as changes to a signal's , often through nonlinear amplification where output is not proportional to input, leading to types like harmonic distortion (generation of additional frequencies that are integer multiples of the fundamental) and distortion (creation of sum and difference frequencies from multiple inputs). These effects are typically unwanted in high-fidelity applications but intentionally used in music production for effects like overdrive and fuzz, enriching sound with harmonics. (THD) quantifies this by measuring the ratio of harmonic content to the fundamental signal, expressed as a or in decibels, with modern audio devices aiming for levels below 1% to minimize audible artifacts like buzzing or muddiness. In optics, distortion is a monochromatic aberration where image magnification varies across the field of view at a fixed distance, causing geometric displacement without loss of information, unlike blurring from other aberrations. It includes barrel distortion (negative, where off-axis points appear closer to the center, common in wide-angle lenses) and pincushion distortion (positive, where points appear farther out, common in telephoto lenses), with hybrid forms like wave or moustache distortion in low-distortion designs; causes stem from lens geometry and field size, and it's measured as a percentage of field height using patterns like dot targets. Correctable via software mapping or optical design, distortion is critical in machine vision, photogrammetry, and other precision imaging systems where geometric accuracy is essential. Beyond these, distortion appears in communications and information theory as amplitude, phase, or group delay variations that degrade signal integrity during transmission, in cartography as unavoidable alterations of shape, area, distance, or direction when projecting the spherical Earth onto flat maps, in materials engineering as shape changes like angular or shrinkage distortion from thermal stresses in welding, and in art as intentional alterations for expressive or perspective effects, with historical developments in styles like Mannerism. Overall, mitigating distortion enhances system performance across disciplines, with techniques ranging from linear amplifiers and aberration-corrected lenses to advanced algorithms in digital processing.

Distortions in Electronic Signals

Amplitude distortion

Amplitude distortion refers to the phenomenon in electronic systems where the gain varies with the of the input signal, resulting in an output that is not a proportional of the input. This nonlinearity causes the signal magnitude to be altered differently at various levels, leading to compression for large amplitudes or expansion for small ones, independent of frequency-dependent effects. In amplifiers, amplitude distortion primarily arises from inherent nonlinearities in active devices, such as saturation in circuits or deviations in transfer characteristics under high signal swings. amplifiers, widely used in early , exhibited significant amplitude distortion due to grid saturation and anode current limitations when handling multi-stage cascaded signals. These issues were prominently observed in the at Bell Laboratories, where repeated amplification over long-distance lines compounded distortion and instability, prompting innovations like to mitigate them. -based amplifiers similarly suffer from nonlinearity in their base-emitter or gate-source junctions, particularly when operating near or saturation regions. Mathematically, amplitude distortion is represented by a nonlinear transfer function, where the output voltage vout(t)v_{\text{out}}(t) is not equal to a constant gain kk times the input vin(t)v_{\text{in}}(t), but rather vout(t)=f(vin(t))v_{\text{out}}(t) = f(v_{\text{in}}(t)), with ff exhibiting curvature such as compression at higher inputs. A common effect is clipping, occurring when the input exceeds the amplifier's linear range, flattening the waveform peaks and introducing asymmetry that reduces overall signal fidelity and efficiency. Measurement of distortion often involves determining the 1 dB compression point (P1dB), the input power level at which the gain decreases by 1 dB from its small-signal value, providing a quantitative indicator of the onset of nonlinearity. Indirect assessment can use distortion products generated by two-tone inputs, where the of these products correlates with the degree of .

Harmonic distortion

Harmonic distortion refers to the generation of unwanted components that are multiples of the in the output of a , altering the shape of the original signal . This distortion arises primarily from quadratic or higher-order nonlinearities in electronic devices such as amplifiers and mixers, where the output is not a proportional replica of the input due to the device's transfer characteristic deviating from . Non-linear loads and components, including rectifiers, switching circuits, and saturated amplifiers, introduce these effects by drawing or producing non-sinusoidal currents and voltages. The mathematical basis for harmonic generation stems from the expansion of the system's output voltage vo(t)v_o(t) in terms of the input voltage vi(t)v_i(t): vo(t)=a1vi(t)+a2[vi(t)]2+a3[vi(t)]3+ higherorder termsv_o(t) = a_1 v_i(t) + a_2 [v_i(t)]^2 + a_3 [v_i(t)]^3 + \ higher-order\ terms where a1a_1, a2a_2, and a3a_3 are coefficients representing linear, quadratic, and cubic nonlinearities, respectively. For a sinusoidal input vi(t)=Vcos(ωt)v_i(t) = V \cos(\omega t), the quadratic term a2[vi(t)]2a_2 [v_i(t)]^2 produces a second at 2ω2\omega along with a DC component, while the cubic term a3[vi(t)]3a_3 [v_i(t)]^3 generates a third at 3ω3\omega and modifies the fundamental amplitude, leading to . Even-order harmonics (e.g., 2nd, 4th) originate from even-order nonlinearities like the quadratic term and often result in DC offsets that can amplifiers or cause issues in , whereas odd-order harmonics (e.g., 3rd, 5th) from odd-order terms like cubic nonlinearity contribute to harsher distortion profiles and are more prominent in single-ended configurations, necessitating differential designs to suppress even orders for improved . Harmonic distortion is quantified using the (THD) metric, defined as THD=n=2Hn2H1\text{THD} = \frac{\sqrt{\sum_{n=2}^{\infty} |H_n|^2}}{|H_1|}
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