Deconvolutional networks strive to find lost features or signals that may have previously not been deemed important to a CNN's task. A signal may be lost due to having been convoluted with other signals. The deconvolution of signals can be used in both image synthesis and analysis. ...
Deconvolution in geophysics is a form of inverse filtering of seismic data that reverses the data filtering caused by an incorrectly run background... Learn more about this topic: Geophysical Signal Processing: Definition & Importance from
Transposed convolution is also known asDeconvolutionwhich is not appropriate as deconvolution implies removing the effect of convolution which we are not aiming to achieve. It is also known as upsampled convolution which is intuitive to the task it is used to perform, i.e upsample the input feat...
not specific to BXT in particular. (Though that is the context in which it came up). There is a lively debate about whether a CNN process is "really" deconvolution. I am really curious about what various
Blind DeconvolutionRecently, closed-form approximated expressions were obtained for the residual Inter Symbol Interference (ISI) obtained by blind adaptive equalizers for the biased as well as for the non-biased input case in a noisy environment. But, up to now it is unclear under what condition ...
In theory, it is possible to correct for diffraction through a sharpening process known as deconvolution sharpening. This type of sharpening is most effective when one has a perfect model of the lens in question, including its exact optical characteristics. For this reason, generic deconvolution sha...
fft, ifft, conv, deconv: These functions are used to perform operations on signals such as fast Fourier transforms, convolution, and deconvolution. Linear algebra functions det, inv, rank, eig, svd, qr, chol: These functions perform operations on matrices such as finding the determinant, inverse...
, here is how the matrix will look like: If we shift the input downward by one step, the impulse response also shifts downward by one step, resulting in the same output but shifting downward by one step. This is shown in the next figure: ...
dl=0. While the log will give you a pretty good idea of my workflow, it unfortunately does not show the masks I used for some of the operations (e.g., deconvolution and sharpening). As regards what I did in GIMP, mostly I just used it to increase the contrast in the b-chan...
Deconvolution was computed using the BrainVoyager software by having fifteen 1-s shifted versions of the indicator function for each stimulus type and response (correct vs. incorrect) as the regressors in a general linear model. In order to quantify the statistics between the deconvolved hemodynamic ...