Everything about Window function
Function used in signal processing
In signal processing and statistics, a window function is a mathematical function that is zero-valued outside of some chosen interval. Typically, window functions are symmetric around the middle of the interval, approach a maximum in the middle, and taper 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. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Window functionA 5-minute orientation
- Skim a recent paper: Computationally efficient memristor model based on Hann window functionInfluential work since 2022
- Pick up a classic book: Invariant sets for WindowsThe most-reprinted book on the subject
- Read the landmark paper: Experimental studies on round window structure: Function and permeabilityCited 127 times
- Go sideways: Kaiser windowA closely related topic
- Go sideways: Spectral leakageA closely related topic
📖 Definitions
Noun A function that performs a calculation using values from several rows, but does not group them into a single row.
Noun A function that limits a signal to a restricted portion of time or frequencies.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Experimental studies on round window structure: Function and permeability
Arterial function in youth: window into cardiovascular risk
Short-time Fourier Transform Using Odd Symmetric Window Function
New efficient window function, replacement for the Hamming window
Optimal biorthogonal analysis window function for discrete Gabor transform
Structure and function of window glass and Pyrex
FUNCTION OF THE ROUND WINDOW
Window function dependence of the novel mass function of primordial black holes
🆕 Influential since 2022
Computationally efficient memristor model based on Hann window function
A Novel Window Function Enables Memristor Model With High Efficiency Spiking Neural Network Applications
Structural modal parameter identification with the Power-Exponential window function
Asymmetric Beampattern Synthesis for Rectangular Planar Array via Window Function Design
An optimized radial basis function neural network with modulation-window activation function
📚 Books worth reading
Invariant sets for WindowsTimothy N. Dragunov, Svetlana A. Boykova · 1999
Scripting WindowsAntoine Habert · 2005
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Kaiser window The Kaiser window, also known as the Kaiser–Bessel window, was developed by James Kaiser at Bell Laboratories. It is a one-parameter family of window functions…
- Spectral leakage The Fourier transform of a function of time, s(t), is a complex-valued function of frequency, S(f), often referred to as a frequency spectrum. Any linear…
- Two-dimensional window design Windowing is a process where an index-limited sequence has its maximum energy concentrated in a finite frequency interval. This can be extended to an N-dimensio…
- Short-time Fourier transform The short-time Fourier transform (STFT) is a Fourier-related transform used to determine the sinusoidal frequency and phase content of local sections of…
- Discrete-time Fourier transform In mathematics, the discrete-time Fourier transform (DTFT) is a form of Fourier analysis that is applicable to a sequence of discrete values. The DTFT…
- Hann function The Hann function is named after the Austrian meteorologist Julius von Hann. It is a window function used to perform Hann smoothing or hanning. The function…
- Chirp spectrum The spectrum of a chirp pulse describes its characteristics in terms of its frequency components. This frequency-domain representation is an alternative…
- Sliding DFT In digital signal processing, the sliding discrete Fourier transform (sliding DFT or SDFT) is a recursive algorithm for computing a sequence of discrete…