Delay Tolerant Network (DTN) is an intermittently connected network where there is no complete path from source to destination for most of the time, and routing becomes one of the most challenging and open problems in...
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We propose a convolutive non-negative matrix factorization method to improve the intelligibility of speech signal in the context of adverse noise environment. The noise bases are prior learned with Non-negative Matrix...
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In massive multiple-input multiple-output(MIMO) system, scaling up the antennas of base station(BS) has a clear benefit on sum rate and energy efficiency, but the signalprocessing complexity can be very high and ...
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In massive multiple-input multiple-output(MIMO) system, scaling up the antennas of base station(BS) has a clear benefit on sum rate and energy efficiency, but the signalprocessing complexity can be very high and many algorithms cannot be implemented in practice for high hardware cost. Approximati ve Matrix Inverse Computations(AMIC) algorithm is a kind of lowcomplexity precoding for large multiuser MIMO systems, but the Bite Error Rate(BER) performance is shown to be not better than the classical MMSE precoding. To improve the BER performance of AMIC algorithm, in this paper, we use norm minimization algorithm to change the coefficient of the precoding matrix to improve the BER performance of AMIC algorithm. It can verify that the proposed algorithm can achieve better BER performance than the AMIC algorithm by using only a limited number of Neumann series iterations, and keep lower complexity. The proposed scheme is a compromise solution between complexity and BER performance.
In TD-LTE test verification system, a proper method is needed for the parameters' transfer, which is based on software and hardware co-simulation platform. In this paper, the hybrid Real-Time communication network...
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ISBN:
(纸本)9781467395885
In TD-LTE test verification system, a proper method is needed for the parameters' transfer, which is based on software and hardware co-simulation platform. In this paper, the hybrid Real-Time communication network, which is composed of TCP/IP protocol, UDP protocol and reflective memory technology on account of hardware board, was built and a loopback test system between system simulation and link system for parameters' interface has been formed. The entire system has realized the sending and receiving of the parameters, which is fast, scalable and flexible link by either the optical fibers or LAN cable. Results show that the latency of the data could prove the key microsecond-level delay. That not only ensures the complex Real-Time of communication system, but also does not lose the parameters' information of the whole system.
A novel ultra-wideband antenna (UWB) is designed in this paper, which has the property of simple structure, small size and dual band-notched function. By etching a semicircle-shaped aperture with three notched steps o...
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ISBN:
(纸本)9781479987689
A novel ultra-wideband antenna (UWB) is designed in this paper, which has the property of simple structure, small size and dual band-notched function. By etching a semicircle-shaped aperture with three notched steps on the ground, additional resonance is excited, and hence much wider impedance bandwidth can be obtained. To generate dual band-notched characteristics, a split ring slot is employed on the radiating element and a U-shaped slit is added on the microstrip line. Simulated and measured results show that the proposed antenna efficiently restrains interference from narrow-band communication system, including WiMax, C-band satellite communication and the wireless local area network (WLAN). In addition, the proposed antenna achieves a good gain and has nearly omnidirectional radiation patterns on the transmission band, which make it a suitable candidate for UWB applications.
Considering the limitation of hardware requirement and power dissipation in wearable brain-computer interface (BCI), the electroencephalogram (EEG) data compression implemented by independent component analysis (ICA) ...
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Considering the limitation of hardware requirement and power dissipation in wearable brain-computer interface (BCI), the electroencephalogram (EEG) data compression implemented by independent component analysis (ICA) combined with compressed sensing (CS) is proposed in this paper. A simple and effective ICA spatial filtering method is used to obtain motor related independent components (MRICs). Furthermore, CS algorithm is introduced to compress MRICs, which have advantage of frequency sparse. So the proposed scheme can make few MRICs compressed transmission instead of the multi-channel EEG data transmission. Based on the measured motor imagery EEG data, the proposed EEG compression scheme is compared with the traditional CS compression scheme. The experimental results show that, the two system schemes have the similar classification accuracy. However, in the proposed compression scheme, the amount of transmission data can be reduced by 75%.
This paper proposes a novel reversible data-hiding scheme utilizing two steganographic images. The proposed method is able to hide more secret messages than other messages by studying the characters of embedded messag...
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This paper proposes a novel reversible data-hiding scheme utilizing two steganographic images. The proposed method is able to hide more secret messages than other messages by studying the characters of embedded messages. We transformed the form of the secret message byte from 8 binary bits to 7-base digits, which was departed to 3-digit planes to allow for hiding more secret messages through use of an extensional key matrix M*. The horizontal and vertical coordinate of the key matrix M* ranges are from 0 to 255. Therefore, we use the pixel pairs in a cover image to help hide secret message bytes in the method proposed. In key matrix M*, a point can be located by a horizontal coordinate and a vertical coordinate, which are the exact paired pixels. After embedding data by using the coordinates in the key matrix and then obtaining two stego images, we can recover the cover image after extracting the embedded data. Experiments show that the method proposed can hide more pixels in an image and recover the image accurately with only a tiny decrease in image quality.
Ovarian cancer (OVC) is one of the deadliest cancers in women. At present, effective clinical therapy for OVC is still limited. We adopted a computational method to identify OVC candidate genes based on subnetwork ext...
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We present a FDTD method which can be used to calculate the optical properties of nanostructures with nonlocal effect. The effect can be described by a spatially nonlocal dielectric function with a Drude plus two Lore...
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ISBN:
(纸本)9781479987689
We present a FDTD method which can be used to calculate the optical properties of nanostructures with nonlocal effect. The effect can be described by a spatially nonlocal dielectric function with a Drude plus two Lorentz terms model. We compared the optical properties of isolated nanowires with different radii. According to the extinction spectra, we can determine in which length scale the nonlocal effects become remarkable and should be taken into consideration in real applications. At the same time, we verify the conclusions by the transmission of nanostructures. Our method and related results can be used as a tool and reference in the design of realistic sub-wavelength devices.
To facilitate the integration of learning resources categorized under different ontology representations, the techniques of ontology mapping can be applied. Though many algorithms and systems have been proposed for on...
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To facilitate the integration of learning resources categorized under different ontology representations, the techniques of ontology mapping can be applied. Though many algorithms and systems have been proposed for ontology mapping, they do not have an automatic weighting strategy on class features to automate the ontology mapping process. A novel method of computing the feature weights is proposed. By feature semantic analysis, the different entities similarity calculation model and weight calculation model were defined. The results show that it makes the ontology mapping process more automatic while retaining satisfying accuracy. Improve ontology mapping effectiveness.
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