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Given some (but not all) monthly totals of people with measles (or counts of product-units sold, or counts of retweets), how can we recover the weekly counts? Requiring smoothness between successive weeks is reasonable - but can we do better, if we have some domain knowledge? For example, we know that measles (flu, count-of-retweets, etc) follow a specific cascade model, like the so-called 'SIS'....
In this paper, we study the data calibration procedure in electrical impedance tomography (EIT) for thorax imaging. Data calibration is an important procedure in EIT imaging as it bridges the gap between simulated data and measured data. Minimizing the systematic error caused by forward modeling could significantly improve the quality of reconstruction. A few factors are investigated in this study...
In this paper, we present a novel structure preserving method for single image super-resolution to well construct edge structures and small detail structures. In our approach, the sharp edges are recovered via a novel edge preserving interpolation technique based on a well estimated gradient field and the edge preserving method, which incorporate the local and non-local structure information. The...
This paper presents a novel inverse scattering method for biomedical application using microwaves. The method is established based on an evolutionary algorithm-particle swarm optimization method which can achieve accurate results for high dimensional problems. The use of time domain data allows multiple frequency selectivity. 2D FDTD simulations have shown that the method attains super-resolution...
The emergency of High Dynamic Range (HDR) display device impels the study of generating HDR image from Low Dynamic Range (LDR) image. Most existing generation methods apply complicated handing to highlight areas in image, which perplexes the algorithm and introduces the probability of generating artifacts. In this paper, we investigate a separated scheme: instead of sophisticated treatment to the...
Electronic channel sounding plays a vital role in developing wireless communication systems. It is critical for transceivers' equalization and filtering operations. However, current pure electronic channel sounding techniques are not well-suited for emerging scenarios such as opportunistic spectrum access, channel impulse response (CIR) based wireless positioning, and wireless security applications,...
In this paper, we propose a novel super-resolution algorithm by using parameter multi-surface fitting. In order to utilize the spatial information in a more effective way, we use the unknown high-resolution pixels as a parameter of fitted surface in the multi-surface fitting equations. We form one surface at each low-resolution pixel in the neighborhood of each high-resolution pixel. The surface is...
By given a sparse signal in a high dimensional space, compressive sensing system, which combines with sampling and compression, can reconstruct that signal accurately and efficiently from fewer linear measurements much less than its actual dimension using sparse priors of signal. Currently, researchers always use orthogonal wavelet to represent the images. But the wavelet only has single scaling function...
This paper addresses the early detection of malignant breast tissues using microwave imaging. The breast contains fibroconnective, glandular and benign tissues whose dielectric properties can be very close to those of malignant tissues. Thus it becomes difficult to differentiate the malignancy using conventional microwave imaging approaches. Here, we investigate RCB and DAS methods coupled with Matrix...
In this paper, a novel microwave image reconstruction method is proposed for 3-dimensional confocal microwave imaging (CMI) technique for breast cancer detection. It improves the traditional delay-and-sum (DAS) method leading to reduction of clutter response from the reconstructed image. For CMI method, the location information of significant scatterers such as malignant tissues is hidden in the backscattered...
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