Characterization of battery and supercapacitor materials devices is typically performed using various methods such as cyclic voltammetry, electrochemical impedance spectroscopy, galvanostatic cycling, etc. However, none these techniques allow for operando tracking changes in the electrode material’s in-plane ionic electronic percolation under polarization, which plays a key-role performance mat...

Thanks to its ability to yield functionally rather than anatomically-based information, the single photon emission computed tomography (SPECT) imagery technique has become a great help in the diagnostic of cerebrovascular diseases which are the third most common cause of death in the USA and Europe. Nevertheless, SPECT images are very blurred and consequently their interpretation is difficult. ...

an_eul is a new automatic method for simultaneous approximation of location, depth, and structural index (geometry) of magnetic sources. in the 2d case analytic signal is defined as a conjugate function whose imaginary part is the hilbert transform of its real part. since the first vertical derivative of the magnetic field is the hilbert transform of its horizontal derivative, vertical and hori...

This paper is a supplement and update to the reviews by Kundur and Hatzinakos [7,8] on blind image deconvolution. Most of the methods reviewed in [7,8] require that the PSF and the original image must be irreducible. However, this irreducibility assumption is not true in some important types of applications, such as when the PSF is Gaussian, which is a good model for many imaging systems. After...

Compared to more mundane blind deconvolution problems, blind deconvolution in seismic applications involves a feedback mechanism related to the free surface. The presence of this feedback mechanism gives us an unique opportunity to remove ambiguities that have plagued blind deconvolution for a long time. While beneficial, this feedback by itself is insufficient to remove the ambiguities even wi...

The spatial resolution of astronomical images is limited by atmospheric turbulence and diffraction in the telescope optics, resulting blurred images. This makes it difficult to accurately measure brightness blended objects because contributions from adjacent are mixed a time-variable manner due changes conditions. However, this effect can be corrected characterizing Point Spread Function (PSF),...

Abstract Fluorescence live cell microscopy is central to the analysis of inter- and intracellular signaling. However, highly dynamic, local processes requires high temporal spatial resolution imaging, which intrinsically linked a low signal-to-noise ratio. To improve image quality after data acquisition, computational techniques, referred as deconvolution, are being developed. Here, we discuss ...

introduction: prior studies comparing hemodynamic response function (hrf) in the young and elderly adults based on fmri data have reported inconsistent findings for brain vision and motor regions in healthy aging. it is shown that the averaging method employed in all previous works has caused this inconsistency. the averaging is so sensitive to outliers and noise. however, fmri data are obscure...

The localization of sound sources with delay-and-sum (DAS) beamforming is limited by a poor spatial resolution-particularly at low frequencies. Various methods based on deconvolution are examined to improve the resolution of the beamforming map, which can be modeled by a convolution of the unknown acoustic source distribution and the beamformer's response to a point source, i.e., point-spread f...

Random matrix and free probability theory have many fruitful applications in many research areas, such as digital communication, mathematical finance and nuclear physics. In particular, the concept of free deconvolution can be used to obtain the eigenvalue distributions of involved functionals of random matrices. Historically, free deconvolution has been applied in the asymptotic setting, i.e.,...