In a kVp switching-based sparse view spectral CT, each spectral image cannot be reconstructed separably by an analytic reconstruction method, because the projection views for each spectral band is too sparse. However,...
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ISBN:
(纸本)9781479923519
In a kVp switching-based sparse view spectral CT, each spectral image cannot be reconstructed separably by an analytic reconstruction method, because the projection views for each spectral band is too sparse. However, the underlying structure is common between the spectral bands, so there exists inter-spectral redundancies that can be exploited by the recently proposed annihilating filter-based low rank Hankel matrix approach (ALOHA). More specifically, the sparse view projection data are first rebinned in the Fourier space, from which Hankel structured matrix with missing elements are constructed for each spectral band. Thanks to the inter-spectral correlations as well as transform domain sparsity of underlying images, the concatenated Hankel structured matrix is low-ranked, and the missing Fourier data for each spectral band can be simultaneously estimated using a low rank matrix completion. To reduce the computational complexity furthermore, we exploit the Hermitian symmetry of Fourier data. Numerical experiments confirm that the proposed method outperforms the existing ones.
This paper presents a simulator for swarm operations designed to verify algorithms for a swarm of autonomous underwater robots (AUVs), specifically for constructing an underwater communication network with AUVs carryi...
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ISBN:
(纸本)9781450346375
This paper presents a simulator for swarm operations designed to verify algorithms for a swarm of autonomous underwater robots (AUVs), specifically for constructing an underwater communication network with AUVs carrying acoustic communication devices. This simulator consists of three nodes: a virtual vehicle node (VV), a virtual environment node (VE), and a visual showing node (VS). The modular design treats AUV models as a combination of virtual equipment. An expert acoustic communication simulator is embedded in this simulator, to simulate scenarios with dynamic acoustic communication nodes. The several simulations we have performed demonstrate that this simulator is easy to use and can be further improved.
The difference of protein sequence or protein structure can be used for the construction of molecular evolutionary tree or phytogenetic tree with certain hierarchy and topology. The divergent points in the tree sugges...
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In this paper, we propose an improved InSAR phase filter in frequency domain based on the Goldstein filter. Firstly, we use different window size determined by the coherence to suppress phase noise. Secondly, we use f...
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ISBN:
(纸本)9781849199940
In this paper, we propose an improved InSAR phase filter in frequency domain based on the Goldstein filter. Firstly, we use different window size determined by the coherence to suppress phase noise. Secondly, we use fringe frequencies compensation to eliminate the effect of the terrain topography. Thirdly, we excute the phase filtering procedure pixel by pixel with a new filtering parameter. Another obvious difference is that we use the Fourier transformation of a small window to deal with the power spectrum of InSAR phase patches. The effectiveness of the improved InSAR phase noise filtering method is investigated by both simulated and real data sets.
There has no complete evaluation system to measure the radiation field of metamaterial imaging radar currently. This paper presents a method of using the first and second cross-correlation statistics of the measuremen...
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This paper deals with designing sensing matrix for a compressive sensing (CS) system with sparse representation error and rank constraint taken into account. Unlike the traditional design methods, the newly proposed m...
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This paper deals with designing sensing matrix for a compressive sensing (CS) system with sparse representation error and rank constraint taken into account. Unlike the traditional design methods, the newly proposed measure takes the sparse representation error into account and hence is expected to lead to a more robust CS system. An alternative minimization based algorithm is derived for solving the optimal sensing matrix design without rank constraint. The rank constraint is then considered with a penalty term added in the proposed measure. A closed-form solution is derived for finding the optimal sensing matrix. Experiments are carried out and simulations show that the sensing matrix obtained by the proposed approach improves the signal recovery accuracy of the CS system greatly and outperforms those by existing algorithms when the sparse representation error is very high.
Heart rate monitoring using wrist-type using photoplethysmographic (PPG) signals during subjects' intensive exercises is a challenging problem, since signals are strongly affected by motion artifacts caused by une...
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ISBN:
(纸本)9781424492695
Heart rate monitoring using wrist-type using photoplethysmographic (PPG) signals during subjects' intensive exercises is a challenging problem, since signals are strongly affected by motion artifacts caused by unexpected movements. This paper presents a method that uses both time and frequency characteristics of signals;using sparse signal reconstruction for high-resolution spectrum estimation. Experimental results on type data sets recorded from 12 subjects during fast running at peak speed of 15 km/hour. The results have a performance with the average absolute error being 1.80 beat per minute.
Block method (BM) is a simple and fast method to solve inverse and forward problems in Electrical Impedance Tomography (EIT). In BM, at first tissue is modeled by some blocks and it is assumed that each block has a sp...
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ISBN:
(纸本)9781467393522
Block method (BM) is a simple and fast method to solve inverse and forward problems in Electrical Impedance Tomography (EIT). In BM, at first tissue is modeled by some blocks and it is assumed that each block has a specific conductivity. Then a medical image is constructed by calculation of its conductivity. Recently, a non-iterative linear inverse solution is presented for block method which we name 2D BM. In this paper, an efficient algorithm with new formulation is proposed to improve the 2D BM, and then several examples have been investigated to examine the proposed method Results show that suggested algorithm achieves better outcomes in all situations, although its run time is increased respect to 2D BM.
The moving target detection is now a hot issue in the field of mobile robot. Firstly, the moving object data was received by using Omni-Vision and Laser Rangefinder sensors. Secondly, the data obtained from a single s...
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ISBN:
(纸本)9781467390996
The moving target detection is now a hot issue in the field of mobile robot. Firstly, the moving object data was received by using Omni-Vision and Laser Rangefinder sensors. Secondly, the data obtained from a single sensor was analyzed, and the moving target was discovered. Finally, the multi-sensor moving object data was effectively integrated by making use of information fusion method, So the moving target position was located quickly and accurately in three space. Experiments were done in the AS-R mobile robot, Experimental results show that the method can accurately detect real-time moving object.
In this paper, we consider multiway relay networks with massive number of users. In this situation a fixed transmission scheduling is difficult to apply. We propose uncoordinated communications using the concept of co...
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In this paper, we consider multiway relay networks with massive number of users. In this situation a fixed transmission scheduling is difficult to apply. We propose uncoordinated communications using the concept of coded slotted ALOHA (CSA), where simultaneous transmitted signals are detected using iterative demapping (IDM) algorithm to improve the success rate probability. We allow each user to transmit the information via any random time slots (during the contention period) to the network. We show the bound of the proposed system and confirm an achievable point using practical coding. We also evaluate the bit-error-rate (BER) performance of the proposed technique via computer simulations. The results indicate that even though with the offered traffic of 1.11 packets/slot, reliable communications is achievable. It is also validated that the proposed system works very well even in relatively low signal-to-noise ratio (SNR) environments. Moreover, the packet-loss-rate (PLR) evaluation shows that the proposed technique outperforms the conventional CSA without simultaneous detection algorithm.
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