CauchyWindow[x]
represents a Cauchy window function of x.
CauchyWindow[x,α]
uses the parameter α.
CauchyWindow
CauchyWindow[x]
represents a Cauchy window function of x.
CauchyWindow[x,α]
uses the parameter α.
Details
- CauchyWindow, also known as the Abel window, is a window function typically used in signal processing applications where data needs to be processed in short segments.
- Window functions have a smoothing effect by gradually tapering data values to zero at the ends of each segment.
- CauchyWindow[x,α] is equal to
. - CauchyWindow[x] is equivalent to CauchyWindow[x,3].
- CauchyWindow automatically threads over lists.
Examples
open all close allBasic Examples (3)
Plot[CauchyWindow[x], {x, -1, 1}, Exclusions -> None]Plot3D[CauchyWindow[x]CauchyWindow[y], {x, -1, 1}, {y, -1, 1}, PlotRange -> All, Exclusions -> None]Extract the continuous function representing the Cauchy window:
FunctionExpand[CauchyWindow[x]]FunctionExpand[CauchyWindow[x, α]]Scope (6)
CauchyWindow[0.1]Shape of a 1D Cauchy window using a specified parameter:
Plot[CauchyWindow[x, 2], {x, -1, 1}, Exclusions -> None]Variation of the shape as a function of the parameter α:
Plot3D[CauchyWindow[x, α], {α, 0, 5}, {x, -1, 1}]Translated and dilated Cauchy window:
Plot[CauchyWindow[(x - 1) / 2], {x, -1, 3}, Exclusions -> None]2D Cauchy window with a circular support:
Plot3D[CauchyWindow[Sqrt[x ^ 2 + y ^ 2]], {x, -1, 1}, {y, -1, 1}, PlotRange -> All, Exclusions -> None]Discrete Cauchy window of length 15:
ListPlot[Array[CauchyWindow, 15, {-1 / 2, 1 / 2}], Filling -> Axis]Discrete 15×10 2D Cauchy window:
ListPointPlot3D[Array[CauchyWindow[#1] CauchyWindow[#2]&, {15, 10}, {{-1 / 2, 1 / 2}}], Filling -> Axis, PlotRange -> All]Applications (2)
Use a window specification to calculate sample PowerSpectralDensity:
proc = ARMAProcess[1, {.5}, {.3}, 1];
data = RandomFunction[proc, {50}];spec = PowerSpectralDensity[data, w, CauchyWindow];Compare to spectral density calculated without a windowing function:
sd = PowerSpectralDensity[data, w];sd === specThe plot shows that window smooths the spectral density:
Plot[{sd, spec}, {w, -π, π}, PlotRange -> All, PlotLegends -> {"no window", "with window"}]Compare to the theoretical spectral density of the process:
Plot[{spec, Evaluate@PowerSpectralDensity[proc, w]}, {w, -π, π}, PlotLegends -> {"data", "process"}]Use a window specification for time series estimation:
data = RandomFunction[ARMAProcess[1, {.3}, {.4}, 1], {300}];Specify window for spectral estimator:
EstimatedProcess[data, ARMAProcess[1, 1], ProcessEstimator -> {"SpectralEstimator", "Window" -> CauchyWindow}]Properties & Relations (3)
CauchyWindow[x,0] is equivalent to a Dirichlet window:
FunctionExpand[CauchyWindow[x, 0]] == FunctionExpand[DirichletWindow[x]]The area under the Cauchy window:
area = Integrate[CauchyWindow[x], {x, -∞, ∞}]Normalize to create a window with unit area:
Plot[{CauchyWindow[x], CauchyWindow[x] / area}, {x, -1, 1}]Fourier transform of the Cauchy window:
f = FourierTransform[CauchyWindow[x], x, w]Power spectrum of the Cauchy window:
LogLinearPlot[20 Log[10, Abs[f]], {w, .1, 80}]Possible Issues (1)
2D sampling of Cauchy window will use a different parameter for each row of samples when passed as a symbol to Array:
Array[CauchyWindow, {30, 30}, {{-1 / 2, 1 / 2}}]//ListPlot3DListPlot3D[Array[CauchyWindow[#1] CauchyWindow[#2]&, {30, 30}, {{-1 / 2, 1 / 2}}], PlotRange -> All]Related Guides
History
Text
Wolfram Research (2012), CauchyWindow, Wolfram Language function, https://reference.wolfram.com/language/ref/CauchyWindow.html.
CMS
Wolfram Language. 2012. "CauchyWindow." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/CauchyWindow.html.
APA
Wolfram Language. (2012). CauchyWindow. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/CauchyWindow.html
BibTeX
@misc{reference.wolfram_2026_cauchywindow, author="Wolfram Research", title="{CauchyWindow}", year="2012", howpublished="\url{https://reference.wolfram.com/language/ref/CauchyWindow.html}", note=[Accessed: 13-June-2026]}
BibLaTeX
@online{reference.wolfram_2026_cauchywindow, organization={Wolfram Research}, title={CauchyWindow}, year={2012}, url={https://reference.wolfram.com/language/ref/CauchyWindow.html}, note=[Accessed: 13-June-2026]}