introduction: hydronephrosis is one of the major causes of referring infants for nuclear medicine investigation. renal dynamic study is the most reliable investigation for such children. however direct evaluation of renogram leads to generation of parameters that have no physiological interpretation. the configuration of renogram is very much dependent upon the rate at which radiopharmaceutical...

Images obtained by using a high-angle annular dark-field (HAADF) detector in the scanning transmission electron microscope (STEM) are able to resolve atomic columns of crystalline materials [1]. This imaging is believed to be incoherent and described as a convolution of a scattering distribution and an electron probe [2]. Therefore, any deconvolution techniques may improve image resolution by e...

We extend deconvolution in a periodic setting to deal with functional data. The resulting functional deconvolution model can be viewed as a generalization of a multitude of inverse problems in mathematical physics where one needs to recover initial or boundary conditions on the basis of observations from a noisy solution of a partial differential equation. In the case when it is observed at a f...

Spontaneous postsynaptic currents (PSCs) provide key information about the mechanisms of synaptic transmission and the activity modes of neuronal networks. However, detecting spontaneous PSCs in vitro and in vivo has been challenging, because of the small amplitude, the variable kinetics, and the undefined time of generation of these events. Here, we describe a, to our knowledge, new method for...

In this Diploma Thesis we will present some methods to improve the quality of a given pictures. In particular blind deconvolution will be applied to deblurr the images. The deconvolution tries to invert the blurring of an image that is modeled by the convolution g = f ∗ h. Blind deconvolution tries to do this without knowledge of the point spread function that blurred the image. In the Thesis f...

A new `1 optimal deconvolution filter design approach for systems with uncertain (or unknown)-but-bounded inputs and external noises is proposed. The purpose of this deconvolution filter is to minimize the peak gain from the input signal and noise to the error by the viewpoint of the time domain. The solution consists of two steps. In the first step, the `1 norm minimization problem is transfer...

We extend deconvolution in a periodic setting to deal with functional data. The resulting functional deconvolution model can be viewed as a generalization of a multitude of inverse problems in mathematical physics where one needs to recover initial or boundary conditions on the basis of observations from a noisy solution of a partial differential equation. In the case when it is observed at a f...