Window function
In signal processing and statistics, a window function (also known as an apodization function or tapering function) is a mathematical function that is zero-valued outside of some chosen interval, normally symmetric around the middle of the interval, usually near a maximum in the middle, and usually tapering away from the middle. Mathematically, when another function or waveform/data-sequence is "multiplied" by a window function, the product is also zero-valued outside the interval: all that is left is the part where they overlap, the "view through the window". Equivalently, and in actual practice, the segment of data within the window is first isolated, and then only that data is multiplied by the window function values. Thus, tapering, not segmentation, is the main purpose of window funct
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- enIn signal processing and statistics, a window function (also known as an apodization function or tapering function) is a mathematical function that is zero-valued outside of some chosen interval, normally symmetric around the middle of the interval, usually near a maximum in the middle, and usually tapering away from the middle. Mathematically, when another function or waveform/data-sequence is "multiplied" by a window function, the product is also zero-valued outside the interval: all that is left is the part where they overlap, the "view through the window". Equivalently, and in actual practice, the segment of data within the window is first isolated, and then only that data is multiplied by the window function values. Thus, tapering, not segmentation, is the main purpose of window funct
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- enIn signal processing and statistics, a window function (also known as an apodization function or tapering function) is a mathematical function that is zero-valued outside of some chosen interval, normally symmetric around the middle of the interval, usually near a maximum in the middle, and usually tapering away from the middle. Mathematically, when another function or waveform/data-sequence is "multiplied" by a window function, the product is also zero-valued outside the interval: all that is left is the part where they overlap, the "view through the window". Equivalently, and in actual practice, the segment of data within the window is first isolated, and then only that data is multiplied by the window function values. Thus, tapering, not segmentation, is the main purpose of window functions. The reasons for examining segments of a longer function include detection of transient events and time-averaging of frequency spectra. The duration of the segments is determined in each application by requirements like time and frequency resolution. But that method also changes the frequency content of the signal by an effect called spectral leakage. Window functions allow us to distribute the leakage spectrally in different ways, according to the needs of the particular application. There are many choices detailed in this article, but many of the differences are so subtle as to be insignificant in practice. In typical applications, the window functions used are non-negative, smooth, "bell-shaped" curves. Rectangle, triangle, and other functions can also be used. A more general definition of window functions does not require them to be identically zero outside an interval, as long as the product of the window multiplied by its argument is square integrable, and, more specifically, that the function goes sufficiently rapidly toward zero.
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- enWindow function
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- electronicsart.weebly.com/fftwindows.html
- www.mathworks.com/help/signal/ref/flattopwin.html
- www.mathworks.com/help/signal/ug/generalized-cosine-windows.html
- practicalcryptography.com/miscellaneous/machine-learning/implementing-dolph-chebyshev-window/
- zone.ni.com/reference/en-XX/help/371361B-01/lvanlsconcepts/char_smoothing_windows/
- www.mathworks.com/help/signal/ref/taylorwin.html
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- Airy function
- Anisotropy
- Antenna (radio)
- Apodization
- Asymptotically equal
- Autocorrelation
- Basis function
- Beamforming
- Bessel function
- Boxcar function
- B-spline
- Bump function
- Category:Digital signal processing
- Category:Fourier analysis
- Category:Signal estimation
- Category:Types of functions
- Chebyshev polynomials
- Curve fitting
- Derivative
- Diffraction
- Digital filters
- Dirichlet kernel
- Discrete Fourier transform
- Discrete-time Fourier transform
- Exponential function
- File:Hanning.svg
- File:Spectral leakage caused by %22windowing%22.svg
- File:Window function and frequency response - Approximate confined Gaussian (sigma t = 0.1).svg
- File:Window function and frequency response - Bartlett-Hann.svg
- File:Window function and frequency response - Blackman-Harris.svg
- File:Window function and frequency response - Blackman-Nuttall.svg
- File:Window function and frequency response - Confined Gaussian (sigma t = 0.1).svg
- File:Window function and frequency response - Cosine.svg
- File:Window function and frequency response - Dolph-Chebyshev (alpha = 5).svg
- File:Window function and frequency response - DPSS (alpha = 2).svg
- File:Window function and frequency response - DPSS (alpha = 3).svg
- File:Window function and frequency response - Exponential (60dB decay).svg
- File:Window function and frequency response - Exponential (half window decay).svg
- File:Window function and frequency response - flat top.svg
- File:Window function and frequency response - GAP optimized Nuttall.svg
- File:Window function and frequency response - Gaussian (sigma = 0.4).svg
- File:Window function and frequency response - Hamming (alpha = 0.53836, n = 0...N).svg
- File:Window function and frequency response - Hann-Poisson (alpha = 2).svg
- File:Window function and frequency response - Kaiser (alpha = 2).svg
- File:Window function and frequency response - Kaiser (alpha = 3).svg
- File:Window function and frequency response - Lanczos.svg
- File:Window function and frequency response - Nuttall (continuous first derivative).svg
- File:Window function and frequency response - Parzen.svg
- File:Window function and frequency response - Planck-Bessel (epsilon = 0.1, alpha = 4.45).svg
- File:Window function and frequency response - Planck-taper (epsilon = 0.1).svg
- File:Window function and frequency response - Rectangular.svg
- File:Window function and frequency response - Tukey (alpha = 0.5).svg
- File:Window function and frequency response - Ultraspherical (mu = -0.5).svg
- File:Window function and frequency response - Welch.svg
- File:Window function and its Fourier transform – Blackman (n = 0...N).svg
- File:Window function and its Fourier transform – Hann (n = 0...N).svg
- File:Window function and its Fourier transform – Triangular (n = 0...N).svg
- Finite impulse response
- Fourier transform
- Frequency estimation
- Frequency spectrum
- Function (mathematics)
- Gaussian function
- Gaussian window
- Gravitational-wave astronomy
- Hann function
- Hill climbing
- Interval (mathematics)
- Isotropy
- James Kaiser
- Julius von Hann
- Kaiser window
- Kernel (statistics)
- Kolmogorov–Zurbenko filter
- Lanczos resampling
- Lipót Fejér
- M. S. Bartlett
- Manifolds
- Modal analysis
- Modified Bessel function
- Modified discrete cosine transform
- Multitaper
- Newton's method
- Overlap–add method
- Parabola
- Partitions of unity
- Piecewise
- Planck's law
- Pulse shaping
- Quadratic polynomial
- Radial function
- Rectangular function
- Richard W. Hamming
- Short-time Fourier transform
- Signal processing
- Sinc function
- Smooth function
- Spectral concentration problem
- Spectral leakage
- Square integrable
- Statistics
- Tapering (mathematics)
- Tapio Saramäki
- Time-frequency representation
- Ultraspherical polynomial
- Uniform norm
- Weight function
- Weighting
- Welch method
- Window design method
- Window function
- SameAs
- Aknafunktsioon
- Fenêtrage
- Fensterfunktion
- Funció finestra
- Funzione finestra
- m.01kcm8
- Okno czasowe
- Q1404885
- R1eg
- Vensterfunctie
- Ventana (función)
- Vinduesfunktion
- Window function
- Віконна функція
- Окно (весовая функция)
- دالة الإطار
- 窓関数
- 窗函数
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- Category:Digital signal processing
- Category:Fourier analysis
- Category:Signal estimation
- Category:Types of functions
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