In mathematics, Wiener deconvolution is an application of the Wiener filter to the noise problems inherent in deconvolution. It works in the frequency...

amplifies. Deconvolution offers a solution to this problem. The foundations for deconvolution and time-series analysis were largely laid by Norbert Wiener of...

filter is frequently used in the process of deconvolution; for this application, see Wiener deconvolution. Let s ( t + α ) {\displaystyle s(t+\alpha )}...

space Wiener chaos expansion Wiener criterion Wiener deconvolution Wiener definition Wiener entropy Wiener equation Wiener filter Generalized Wiener filter...

In electrical engineering and applied mathematics, blind deconvolution is deconvolution without explicit knowledge of the impulse response function used...

or shutter speed. An example of blurred image restoration with Wiener deconvolution: Motion blur is frequently employed in sports photography (particularly...

The Richardson–Lucy algorithm, also known as Lucy–Richardson deconvolution, is an iterative procedure for recovering an underlying image that has been...

needed] Wiener filter Norbert Wiener Wiener deconvolution Maximum a posteriori estimation Pratt, William K. (July 1972). "Generalized Wiener Filtering...

Although more advanced digital image restoration procedures exist, the Wiener deconvolution algorithm is often used for its simplicity and efficiency. Since...

Whipple's index White test White noise Wide and narrow data Wiener deconvolution Wiener filter Wiener process Wigner quasi-probability distribution Wigner semicircle...

the point spread function can be modeled mathematically. By proper deconvolution of the point spread function K and the blurred image B, the blurred...

regularized hemodynamic deconvolution of fMRI time series. This method also enabled an important progress to the classical Wiener deconvolution, and brought insights...

straightforward and a conventional technique for image restoration is deconvolution, which is performed in the frequency domain and after computing the...

(9): 735–742. doi:10.1109/TCS.1975.1084118. Jansson, Peter A. (1996). Deconvolution of Images and Spectra (Second ed.). Academic Press. pp. 490–494. ISBN 0-12-380222-9...

spectrum must be flattened, i.e. transformed by filtering (such as deconvolution) to a white noise signal (i.e. a signal where all frequencies are equally...

factor, which depends on the shape of the pulse, is sometimes called the deconvolution factor. If this factor is known, or assumed, the time duration (intensity...

He is reported to have developed a redesigned Wiener filter, a common equipment used seismic deconvolution procedure, for application in magnetic and inversion...

examples can be found in the seismic image gallery of delph.ixsea.com [1] Deconvolution SEG Y - a popular file format for seismic reflection data Depth conversion...

ISBN 978-1-4757-0829-5. Brooks, Thomas F.; Humphreys, William M. (2004). "Deconvolution Approach for the Mapping of Acoustic Sources". NASA Invention Disclosure...

processing techniques such as phase flipping and amplitude correction / Wiener filtering can (at least partially) correct for the CTF, and allow high resolution...

U (2008-01-01). "CT-perfusion imaging of the human brain: Advanced deconvolution analysis using circulant singular value decomposition". Computerized...

Ap. J., 409, 1993, p. 517-529 Starck J.L., Bijaoui A., Filtering and Deconvolution by the Wavelet Transform, Signal Processing, vol.35, 1994, p. 195-211...