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Envelope (waves)
Envelope (waves)
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In physics and engineering, the envelope of an oscillating signal is a smooth curve outlining its extremes.[1] The envelope thus generalizes the concept of a constant amplitude into an instantaneous amplitude. The figure illustrates a modulated sine wave varying between an upper envelope and a lower envelope. The envelope function may be a function of time, space, angle, or indeed of any variable.

Envelope for a modulated sine wave.

In beating waves

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A modulated wave resulting from adding two sine waves of identical amplitude and nearly identical wavelength and frequency.

A common situation resulting in an envelope function in both space x and time t is the superposition of two waves of almost the same wavelength and frequency:[2]

which uses the trigonometric formula for the addition of two sine waves, and the approximation Δλ ≪ λ:

Here the modulation wavelength λmod is given by:[2][3]

The modulation wavelength is double that of the envelope itself because each half-wavelength of the modulating cosine wave governs both positive and negative values of the modulated sine wave. Likewise the beat frequency is that of the envelope, twice that of the modulating wave, or 2Δf.[4]

If this wave is a sound wave, the ear hears the frequency associated with f and the amplitude of this sound varies with the beat frequency.[4]

Phase and group velocity

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The red square moves with the phase velocity, and the green circles propagate with the group velocity.

The argument of the sinusoids above apart from a factor 2π are:

with subscripts C and E referring to the carrier and the envelope. The same amplitude F of the wave results from the same values of ξC and ξE, each of which may itself return to the same value over different but properly related choices of x and t. This invariance means that one can trace these waveforms in space to find the speed of a position of fixed amplitude as it propagates in time; for the argument of the carrier wave to stay the same, the condition is:

which shows to keep a constant amplitude the distance Δx is related to the time interval Δt by the so-called phase velocity vp

On the other hand, the same considerations show the envelope propagates at the so-called group velocity vg:[5]

A more common expression for the group velocity is obtained by introducing the wavevector k:

We notice that for small changes Δλ, the magnitude of the corresponding small change in wavevector, say Δk, is:

so the group velocity can be rewritten as:

where ω is the frequency in radians/s: ω = 2πf. In all media, frequency and wavevector are related by a dispersion relation, ω = ω(k), and the group velocity can be written:

Dispersion relation ω=ω(k) for some waves corresponding to lattice vibrations in GaAs.[6]

In a medium such as classical vacuum the dispersion relation for electromagnetic waves is:

where c0 is the speed of light in classical vacuum. For this case, the phase and group velocities both are c0.

In so-called dispersive media the dispersion relation can be a complicated function of wavevector, and the phase and group velocities are not the same. For example, for several types of waves exhibited by atomic vibrations (phonons) in GaAs, the dispersion relations are shown in the figure for various directions of wavevector k. In the general case, the phase and group velocities may have different directions.[7]

In function approximation

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Electron probabilities in lowest two quantum states of a 160Å GaAs quantum well in a GaAs-GaAlAs heterostructure as calculated from envelope functions.[8]

In condensed matter physics an energy eigenfunction for a mobile charge carrier in a crystal can be expressed as a Bloch wave:

where n is the index for the band (for example, conduction or valence band) r is a spatial location, and k is a wavevector. The exponential is a sinusoidally varying function corresponding to a slowly varying envelope modulating the rapidly varying part of the wave function un,k describing the behavior of the wave function close to the cores of the atoms of the lattice. The envelope is restricted to k-values within a range limited by the Brillouin zone of the crystal, and that limits how rapidly it can vary with location r.

In determining the behavior of the carriers using quantum mechanics, the envelope approximation usually is used in which the Schrödinger equation is simplified to refer only to the behavior of the envelope, and boundary conditions are applied to the envelope function directly, rather than to the complete wave function.[9] For example, the wave function of a carrier trapped near an impurity is governed by an envelope function F that governs a superposition of Bloch functions:

where the Fourier components of the envelope F(k) are found from the approximate Schrödinger equation.[10] In some applications, the periodic part uk is replaced by its value near the band edge, say k=k0, and then:[9]

In diffraction patterns

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Diffraction pattern of a double slit has a single-slit envelope.

Diffraction patterns from multiple slits have envelopes determined by the single slit diffraction pattern. For a single slit the pattern is given by:[11]

where α is the diffraction angle, d is the slit width, and λ is the wavelength. For multiple slits, the pattern is [11]

where q is the number of slits, and g is the grating constant. The first factor, the single-slit result I1, modulates the more rapidly varying second factor that depends upon the number of slits and their spacing.

Estimation

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An envelope detector is a circuit that attempts to extract the envelope from an analog signal.

In digital signal processing, the envelope may be estimated employing the Hilbert transform or a moving RMS amplitude.[12]

See also

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References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
In physics, the envelope of a wave is the smooth curve that bounds the of an oscillating wave, particularly in cases of modulation or superposition where the varies slowly compared to the rapid oscillations of the . This defines the overall shape and extent of the wave's intensity, serving as the outer limit of the wave's displacement in both classical and quantum contexts. For instance, in a standing wave on a , the outlines the upper and lower boundaries of the motion between nodes and antinodes. The concept is central to understanding wave packets, which arise from the interference of waves with slightly different frequencies and wavelengths; here, the envelope encloses the region of constructive interference, localizing the wave's energy. The envelope propagates at the vg=dωdkv_g = \frac{d\omega}{dk}, where ω\omega is and kk is , which represents the speed of the overall wave group, in contrast to the of the internal carrier waves. This distinction is crucial in dispersive media, such as water waves or quantum de Broglie waves, where the envelope's motion determines signal propagation and particle-like behavior. Mathematically, a wave with an envelope can be expressed as ψ(x,t)=A(x,t)cos(kxωt+ϕ)\psi(x,t) = A(x,t) \cos(kx - \omega t + \phi), where A(x,t)A(x,t) is the slowly varying , and the product form highlights the separation between the rapid phase oscillations and the envelope's modulation. In applications ranging from acoustics to , analyzing the enables the study of phenomena like beats, solitons, and energy transport without resolving every .

Basic Concepts

Definition

In wave physics, the envelope of a wave refers to a smooth curve that connects the local maxima (or minima) of the oscillatory signal, delineating the overall variation in its while excluding the rapid oscillations of the underlying . This boundary curve effectively captures the modulating influence on the wave's strength, providing a visual and conceptual outline of how the signal's intensity evolves over time or space without the fine details of individual cycles. The concept of a wave is most applicable to signals, where the varies slowly relative to the high-frequency carrier oscillations, allowing for a clear separation between the rapid phase changes and the slower . In such cases, the signal's spectrum is concentrated around a central carrier , enabling the to represent the low-frequency components distinctly. For signals, however, where the content spans a wide range without a dominant carrier, the may not apply directly, as the amplitude variations lack the slow modulation characteristic and blend into the overall structure. A representative example is a sinusoidal wave with time-varying , expressed conceptually as A(t)sin(ωt)A(t) \sin(\omega t), where A(t)A(t) traces the as a smooth function outlining the peaks of the , illustrating how shapes the wave's profile. This foundational notion establishes the terminology for analyzing in diverse wave phenomena, such as the interference patterns in beating waves.

Mathematical Formulation

The mathematical formulation of a wave envelope begins with the general representation of a modulated real-valued signal s(t)s(t), expressed as
s(t)=A(t)cos(ωct+ϕ(t)),s(t) = A(t) \cos(\omega_c t + \phi(t)),
where A(t)A(t) denotes the real-valued function, representing the slowly varying , ωc\omega_c is the carrier , and ϕ(t)\phi(t) is the phase deviation from the carrier. This form assumes that A(t)A(t) and ϕ(t)\phi(t) vary slowly compared to the carrier , allowing the to capture the overall .
A more powerful representation employs the complex envelope, rewriting the signal as the real part of a complex analytic signal:
s(t)={s~(t)ejωct},s(t) = \Re \left\{ \tilde{s}(t) e^{j \omega_c t} \right\},
where s~(t)=A(t)ejϕ(t)\tilde{s}(t) = A(t) e^{j \phi(t)} is the complex envelope, incorporating both and phase information in its magnitude s~(t)=A(t)|\tilde{s}(t)| = A(t) and argument arg(s~(t))=ϕ(t)\arg(\tilde{s}(t)) = \phi(t), respectively. This formulation facilitates analysis by shifting the high-frequency carrier to , where s~(t)\tilde{s}(t) occupies a low-frequency spectrum around zero.
For real bandpass signals, the complex can be obtained using the . The is formed as sa(t)=s(t)+js^(t)s_a(t) = s(t) + j \hat{s}(t), where s^(t)\hat{s}(t) is the of s(t)s(t), defined as the s^(t)=s(t)1πt\hat{s}(t) = s(t) * \frac{1}{\pi t} or, in the , multiplication by j\sgn(f)-j \sgn(f). The is then the magnitude A(t)=sa(t)A(t) = |s_a(t)|, which suppresses negative frequencies to yield a positive real-valued suitable for signals. The full complex follows as s~(t)=sa(t)ejωct\tilde{s}(t) = s_a(t) e^{-j \omega_c t}. In the frequency domain, the envelope corresponds to the low-frequency components of the signal's centered around the carrier. The S(f)S(f) of s(t)s(t) exhibits symmetry for real signals, with positive-frequency content Sa(f)=2S(f)S_a(f) = 2 S(f) for f>0f > 0 forming the analytic spectrum; the equivalent S~(f)=Sa(f+fc)\tilde{S}(f) = S_a(f + f_c) for f<B/2|f| < B/2 (where BB is the bandwidth) directly represents the 's spectral content shifted to low frequencies. This view highlights how the envelope modulates the carrier without altering its high-frequency oscillation. To illustrate, consider a simple linear chirp signal, a linearly frequency-modulated wave given by
s(t)=Acos(2π(f0t+12μt2)),s(t) = A \cos\left(2\pi \left( f_0 t + \frac{1}{2} \mu t^2 \right) \right),
for tT/2|t| \leq T/2, where AA is constant, f0f_0 is the starting frequency, and μ\mu is the chirp rate. Identifying the carrier as ωc=2πf0\omega_c = 2\pi f_0 and the phase deviation ϕ(t)=πμt2\phi(t) = \pi \mu t^2, the complex envelope is s~(t)=Aejπμt2\tilde{s}(t) = A e^{j \pi \mu t^2}, yielding a constant magnitude s~(t)=A|\tilde{s}(t)| = A as the envelope, since the linear frequency sweep affects only the phase without amplitude variation. For narrowband chirps where μT2f0|\mu| T^2 \ll f_0, the Hilbert transform confirms this constant envelope by forming the analytic signal with uniform magnitude.

Envelopes in Wave Superposition

Beating Waves

Beating waves arise from the superposition of two coherent sinusoidal waves with nearly identical frequencies but the same amplitude, resulting in a modulated waveform where the amplitude varies periodically over time. This phenomenon, known as beats, occurs due to the interference between the two waves, producing regions of constructive interference (maximum amplitude) and destructive interference (minimum amplitude). Mathematically, consider two waves given by s1(t)=Acos(ω1t)s_1(t) = A \cos(\omega_1 t) and s2(t)=Acos(ω2t)s_2(t) = A \cos(\omega_2 t), where ω1\omega_1 and ω2\omega_2 are the angular frequencies with ω1>ω2\omega_1 > \omega_2. Their superposition is: s(t)=Acos(ω1t)+Acos(ω2t)=2Acos(Δωt2)cos(ωavgt),s(t) = A \cos(\omega_1 t) + A \cos(\omega_2 t) = 2A \cos\left( \frac{\Delta \omega t}{2} \right) \cos(\omega_\text{avg} t), where Δω=ω1ω2\Delta \omega = |\omega_1 - \omega_2| is the beat angular frequency and ωavg=(ω1+ω2)/2\omega_\text{avg} = (\omega_1 + \omega_2)/2 is the average angular frequency. The term 2Acos(Δωt2)2A \cos\left( \frac{\Delta \omega t}{2} \right) forms the slowly varying amplitude envelope, which modulates the rapid carrier wave cos(ωavgt)\cos(\omega_\text{avg} t). The envelope oscillates at an angular frequency of Δω/2\Delta \omega / 2, corresponding to a frequency of Δf/2\Delta f / 2, where Δf=\f1f2\Delta f = |\f_1 - f_2| and f=ω/2πf = \omega / 2\pi. However, the perceived beat frequency—the rate at which the amplitude cycles from maximum to minimum and back—is Δf\Delta f, as each full beat involves two envelope cycles. Physically, beats manifest as pulsating intensity in sound or light waves due to the alternating constructive and destructive interference. In acoustics, for instance, when two tuning forks with slightly different frequencies (e.g., 440 Hz and 442 Hz) are struck simultaneously, the resulting exhibits a throbbing quality at a beat frequency of 2 Hz, making the volume appear to wax and wane periodically. This effect is audible when the frequency difference is small (typically below 10-20 Hz) and has been observed in early acoustic experiments. provided one of the first systematic descriptions of beats in his 1863 work On the Sensations of Tone, where he analyzed them as interference patterns between simple tones using tuning forks and sirens to study dissonance in music.

Phase and Group Velocity

In dispersive media, a wave packet is formed by the superposition of plane waves with frequencies centered around a carrier frequency ω0\omega_0 and wavenumbers around a central wavenumber k0k_0. This superposition results in a rapidly oscillating carrier wave modulated by a slowly varying envelope that represents the overall amplitude distribution of the packet. The phase velocity vp=ω/kv_p = \omega / k describes the speed at which surfaces of constant phase propagate, corresponding to the motion of individual wave crests within the packet. In contrast, the group velocity vg=dω/dkv_g = d\omega / dk is the velocity at which the envelope's peak—or the maximum amplitude—propagates, obtained by taking the partial derivative of the dispersion relation ω(k)\omega(k) with respect to kk at k0k_0. This distinction arises because dispersion causes waves of different frequencies to travel at different speeds, leading to a separation between the phase motion and the envelope's advancement. The propagation of such a can be expressed as ψ(x,t)=exp[i(k0xω0t)]g(xvgt)\psi(x, t) = \exp[i (k_0 x - \omega_0 t)] \, g(x - v_g t), where gg is a describing the shape, and the exponential term represents the . The thus translates at the vgv_g, maintaining its form to in non-dispersive approximations, though higher-order dispersion may cause spreading over time. A classic example occurs in water waves, where short-wavelength ripples on the surface propagate faster than the broader swell they ride upon; the ripples move at the , while the overall wave group—or —advances at half the for deep-water gravity waves, illustrating the slower group propagation. This is crucial for energy transport in wave systems, as it determines the speed at which wave energy propagates through the medium, independent of the in dispersive environments.

Envelopes in Signal Processing

Analytic Signals

The analytic signal offers a complex-valued representation of a real wave signal s(t)s(t), enabling the separation of its amplitude envelope and phase components while eliminating negative frequency contributions. Formally, it is defined as z(t)=s(t)+js^(t)z(t) = s(t) + j \hat{s}(t), where s^(t)\hat{s}(t) denotes the of s(t)s(t), which acts as a quadrature phase shifter for the signal's frequency components. This formulation, originally proposed by Dennis Gabor in his foundational work on communication theory, constructs a signal whose spectrum contains only non-negative frequencies, providing a compact description of the original waveform's positive-frequency content. From this representation, the instantaneous envelope A(t)A(t) is obtained as the magnitude A(t)=z(t)A(t) = |z(t)|, and the instantaneous phase ϕ(t)\phi(t) as the argument ϕ(t)=arg(z(t))\phi(t) = \arg(z(t)), yielding z(t)=A(t)ejϕ(t)z(t) = A(t) e^{j \phi(t)}. In the Fourier domain, the corresponds to twice the positive-frequency portion of the spectrum of s(t)s(t), with all negative-frequency components suppressed to zero; this ensures that the real part of z(t)z(t) recovers s(t)s(t) exactly, while the imaginary part provides the necessary quadrature for isolation. Such properties make the particularly suitable for analyzing bandlimited waves, as the preserves the signal's energy in the positive-frequency band. A key result supporting the accuracy of this decomposition is the Bedrosian theorem, which specifies conditions under which the of a product signal yields an exact separation. Specifically, for a signal s(t)=A(t)cos(ωt+θ)s(t) = A(t) \cos(\omega t + \theta), where A(t)A(t) is a low-frequency function (slowly varying relative to the high-frequency carrier ω\omega) and the spectra of A(t)A(t) and cos(ωt+θ)\cos(\omega t + \theta) have no overlap, the theorem guarantees s^(t)=A(t)sin(ωt+θ)\hat{s}(t) = A(t) \sin(\omega t + \theta), thereby allowing precise extraction via z(t)|z(t)|. This theorem underpins the validity of methods for signals where the modulates a rapid without spectral interference. In the context of amplitude modulation (AM), the analytic signal elegantly captures the modulating low-frequency signal as the envelope of a high-frequency carrier, facilitating straightforward recovery of the message. For an AM waveform s(t)=[1+m(t)]cos(ωct)s(t) = [1 + m(t)] \cos(\omega_c t), where m(t)m(t) is the modulating signal with frequency much lower than the carrier ωc\omega_c, the analytic signal z(t)z(t) approximates [1+m(t)]ejωct[1 + m(t)] e^{j \omega_c t}, and the envelope z(t)|z(t)| directly retrieves 1+m(t)1 + m(t). This approach is widely applied in communications to demodulate bandpass signals back to their baseband equivalents, as seen in radio receivers where the analytic representation simplifies the extraction of transmitted information from modulated carriers.

Envelope Detection

Envelope detection is a fundamental technique in used to extract the from modulated signals, particularly in (AM) systems, by approximating the of the signal followed by smoothing. One of the simplest hardware implementations is the circuit combined with a , which performs rectification to capture the positive peaks of the input signal and then filters out high-frequency components to recover the modulating waveform. This method approximates the |s(t)| through half-wave or full-wave rectification, where a charges a to the peak voltage of the incoming AM waveform, and a allows controlled discharge to follow the . Synchronous detection offers a more precise alternative, involving multiplication of the received signal by a locally generated carrier synchronized to the incoming carrier frequency, followed by low-pass filtering to isolate the envelope. This coherent approach recovers the envelope without the nonlinear distortions inherent in rectifier-based methods, providing better fidelity for the modulating signal. In radio receivers for AM broadcasts, circuits are widely employed due to their simplicity and low cost, forming the core of stages in superheterodyne designs. However, these detectors exhibit limitations, such as diagonal clipping and increased susceptibility to , where modulation indices exceeding 1 cause phase reversal in the carrier, leading to output and reduced audio quality. Digital envelope detection methods provide greater precision in software implementations, typically involving squaring the input signal to obtain its magnitude squared, applying a to remove carrier remnants, and then taking the to yield the |s(t)|. This approach avoids hardware nonlinearities and allows adjustable filter parameters for optimal performance in sampled signals. Performance of envelope detectors is evaluated through metrics like (THD), which quantifies nonlinear artifacts in the recovered signal, and noise sensitivity, often measured by the (SNR) degradation at the output. Rectifier-based detectors show higher distortion under and greater noise vulnerability in low-SNR environments compared to synchronous methods, which maintain an SNR improvement of approximately 3 dB. In speech signal processing, envelope detection plays a critical role, as the temporal envelope carries essential cues for intelligibility, such as amplitude modulations that convey phonetic information; extracting this envelope enhances in noisy environments by emphasizing these modulations over fine-structure details.

Envelopes in Physical Phenomena

Diffraction Patterns

In diffraction patterns, the represents the overall intensity distribution that modulates the finer interference fringes arising from wave superposition across an . This arises from the coherent summation of waves emanating from different points within the aperture, leading to a broader intensity profile that bounds the oscillatory interference structure. For single-slit , the intensity distribution I(θ)I(\theta) is approximated by I(θ)I0[sinββ]2I(\theta) \approx I_0 \left[ \frac{\sin \beta}{\beta} \right]^2, where β=πasinθλ\beta = \frac{\pi a \sin \theta}{\lambda}, aa is the slit width, λ\lambda is the , and I0I_0 is the central intensity. This sinc2\operatorname{sinc}^2 function forms the , which exhibits minima at angles where destructive interference dominates, thereby modulating any finer interference patterns from multiple slits. In double-slit interference, the rapid cosine fringes from the two-slit superposition are confined within the broader single-slit envelope, resulting in missing interference orders at the envelope's minima. This modulation explains the observed intensity variations, where the envelope's shape determines the visibility of fringes at larger angles. , applicable in the far field, yields an envelope that is the of the aperture function, providing a direct mapping of spatial frequencies to angular distribution. In contrast, in the near field involves more complex quadratic phase factors, leading to evolving envelope shapes not simply related to the ./06:_Scalar_diffraction_optics/6.07:_Fresnel_and_Fraunhofer_Approximations) The general mathematical form of the diffraction envelope derives from the squared magnitude of the aperture integral: I[aperture](/page/Aperture)ejkrn^dA2I \propto \left| \int_{\text{[aperture](/page/Aperture)}} e^{j k \mathbf{r} \cdot \hat{n}} \, dA \right|^2
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