Deconvolution: Convolution, Wiener Deconvolution, Blind Deconvolution, Richardson-Lucy Deconvolution, CLEAN (Algorithm), White Noise, Signal Processing -
Deconvolution: Convolution, Wiener Deconvolution, Blind Deconvolution, Richardson-Lucy Deconvolution, CLEAN (Algorithm), White Noise, Signal Processing
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In mathematics, deconvolution is an algorithm-based process used to reverse the effects of convolution on recorded data. The concept of deconvolution is widely used in the techniques of signal processing and image processing. Because these techniques are in turn widely used in many ...Full description
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In mathematics, deconvolution is an algorithm-based process used to reverse the effects of convolution on recorded data. The concept of deconvolution is widely used in the techniques of signal processing and image processing. Because these techniques are in turn widely used in many scientific and engineering disciplines, deconvolution finds many applications. In general, the object of deconvolution is to find the solution of a convolution equation of the form: f * g = h Usually, h is some recorded signal, and ¿ is some signal that we wish to recover, but has been convolved with some other signal g before we recorded it. The function g might represent the transfer function of an instrument or a driving force that was applied to a physical system. If we know g, or at least know the form of g, then we can perform deterministic deconvolution. However, if we do not know g in advance, then we need to estimate it.