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International Conference on intelligent computing and Internet of Things (ICIT)

作者： Yi Wang Yanjun Hu Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei Anhui Province China

ISBN: (纸本)9781479975358

The almost blank subframe (ABS) has been studied in 3GPP as a way to mitigate downlink interference experienced by cell range expansion (CRE) user equipments (UEs). However, the throughput of CRE UEs highly depends on the ratios of ABS which are statically configured in many situations. The coordinated multi-point (CoMP) is one of the key solutions standardized in LTE-A which can be implemented in CRE with ABS to exploit the abundant spatial resources. And distributed cell selection could help guarantee the UEs' performance under different range expansion biases. In this paper, a distributed CoMP method for CRE with ABS is proposed in heterogeneous networks. Simulation results show that our proposed algorithm provides considerable performance gains in the spectrum efficiency with different bias and users settings.

关键词： Algorithm design and analysis Macrocell networks Antennas

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Hierarchical Covering Algorithm

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Tsinghua Science and Technology 2014年第1期19卷 76-81页

作者： Jie Chen Shu Zhao Yanping Zhang Department of Computer Science and Technology and Key Lab of Intelligent Computing and Signal Processing Anhui University

The concept of deep learning has been applied to many domains, but the definition of a suitable problem depth has not been sufficiently explored. In this study, we propose a new Hierarchical Covering Algorithm （HCA） method to determine the levels of a hierarchical structure based on the Covering Algorithm （CA）. The CA constructs neural networks based on samples＇ own characteristics, and can effectively handle multi-category classification and large-scale data. Further, we abstract characters based on the CA to automatically embody the feature of a deep structure. We apply CA to construct hidden nodes at the lower level, and define a fuzzy equivalence relation R on upper spaces to form a hierarchical architecture based on fuzzy quotient space theory. The covering tree naturally becomes from R. HCA experiments performed on MNIST dataset show that the covering tree embodies the deep architecture of the problem, and the effects of a deep structure are shown to be better than having a single level.

关键词： deep architecture hierarchy fuzzy equivalence relation covering tree MNIST dataset

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Speech Endpoint Detection Based on EMD and Higher Order Statistics in Noisy Environments

Speech Endpoint Detection Based on EMD and Higher Order Stat...

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2015 5th International Conference on Information Engineering for Mechanics and Materials(ICIMM 2015)

作者： Dexiang Zhang Jiaxing Li Zihong Chen Key Lab.of Intelligent Computing and Signal Processing Anhui University The School of Electrical Engineering and Automation of Anhui University

Accurate endpoint detection is crucial for speech recognition accuracy. This paper presents a new technique for speech endpoint detection in a noisy environment based on the empirical mode decomposition(EMD) algorithm and higher order statistics. With the EMD, the noise speech signals can be decomposed into a sum of the band-limited function called intrinsic mode functions(IMFs), which is a zero-mean AM-FM component. Then higher order statistics of the IMF components can be used to extract the desired feature for endpoint detection. In order to show the effectiveness of the proposed method, we present examples showing that the new measure is more effective than traditional measures. The experimental results show that the performance of the proposed algorithm is noticeable in the real speech signal tests with different SNR.

关键词： Endpoint Detection EMD Higher Order Statistics Noisy Environments

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Exploring the importance of individual differences to the automatic estimation of emotions induced by music 5

Exploring the importance of individual differences to the au...

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5th International Workshop on Audio/Visual Emotion Challenge, AVEC 2015 - co-Located with MM 2015

作者： Sagha, Hesam Coutinho, Eduardo Schuller, Björn Department of Complex and Intelligent Systems University of Passau Germany Department of Computing Imperial College London London United Kingdom Machine Intelligence and Signal Processing Group Technische Universität München Germany Department of Music University of Liverpool United Kingdom

ISBN: (纸本)9781450337434

The goal of this study was to evaluate the impact of the inclusion of listener-related factors (individual differences) on the prediction of music induced affect. A group of 24 subjects listened to a set of music excerpts previously demonstrated to express specific emotional characteristics (in terms of Arousal and Valence), and we collected information related to listeners' stable (personality, emotional intelligence, attentiveness, music preferences) and transient (mood, and physiological activity) states. Through a series of regression analysis we identified those factors which have a significant explanatory power over the affective states induced in the listeners. Our results show that incorporating information related to individual differences permits to identify more accurately the affective states induced in the listeners, which differ from those expressed by the music. © 2015 ACM.

关键词： Regression analysis

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Fusion of Polarization Image Using Bidimensional Empirical Mode Decomposition

Fusion of Polarization Image Using Bidimensional Empirical M...

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International Conference on Computer Science and Mechanical Automation

作者： Dexiang Zhang Zihong Chen Jiaxing Li Jingjing Zhang Key Lab. of Intelligent Computing and Signal Processing Anhui University The School of Electrical Engineering and Automation Anhui University

ISBN: (纸本)9781467391672

Empirical mode decomposition (EMD) provides a powerful tool for adaptive multiscale analysis of nonstationary signals. Bidimensional empirical mode decomposition (BEMD) techniques decompose an image into several bidimensional intrinsic mode functions (BIMFs) and a bidimensional residue (BR). Firstly, several polarization images can be decomposed into several BIMFs with multi-scales using BEMD. For the BIMF coefficients, the teager energy-based method is used. For the each BIMF coefficients, the area-based teager energy larger value of information measurement is used to select the better coefficients for fusion. At last the fused image can be obtained by utilizing inverse transform for fused image. Experimental results show that the proposed algorithm gives more satisfactory results than the traditional image fusion algorithms in preserving the edges and texture information.

关键词： Bidimensional empirical mode decomposition Image decomposition Polarization image Image fusion

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Spray and Wait Routing Algorithm Based on Transfer Utility of Node in DTN

Spray and Wait Routing Algorithm Based on Transfer Utility o...

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2015 IEEE International Conference on Progress in Informatics and computing(PIC 2015)

作者： Guizhu Wang Mei Shao Run Li Yao Ma Bingting Wang Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Department of Electronic and Electrical Engineering Chuzhou University

Delay Tolerant Networks(DTNs) is a mobile wireless network, in which it is difficult to establish end-to-end paths. Meanwhile, the nodes transmit message copies randomly,resulting in a high overhead of message propagation. In this paper, a Transfer Utility of Node Spray and Wait(TUoN-SNW)routing is proposed to forward the message copies dynamically,which avoid randomness of Spray and Wait routing protocol when message copies are forwarded. And in order to reduce the overhead, a Based on Transfer Utility of Node’s Buffer Scheduling Strategy(BTUoN-BSP) is also applied. Simulation results show that compared with the Spray and Wait(SNW)routing, the algorithms could not only improve the delivery rate but also reduce the overhead of network obviously.

关键词： delay tolerant networks transfer utility spray and wait buffer scheduling strategy

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Cloud removal of remote sensing image based on multi-output support vector regression

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Journal of Systems Engineering and Electronics 2014年第6期25卷 1082-1088页

作者： Gensheng Hu Xiaoqi Sun Dong Liang Yingying Sun Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University School of Electronics and Information Engineering Anhui University

Removal of cloud cover on the satellite remote sensing image can effectively improve the availability of remote sensing images. For thin cloud cover, support vector value contourlet transform is used to achieve multi-scale decomposition of the area of thin cloud cover on remote sensing images. Through enhancing coefficients of high frequency and suppressing coefficients of low frequency, the thin cloud is removed. For thick cloud cover, if the areas of thick cloud cover on multi-source or multi-temporal remote sensing images do not overlap, the multi-output support vector regression learning method is used to remove this kind of thick clouds. If the thick cloud cover areas overlap, by using the multi-output learning of the surrounding areas to predict the surface features of the overlapped thick cloud cover areas, this kind of thick cloud is removed. Experimental results show that the proposed cloud removal method can effectively solve the problems of the cloud overlapping and radiation difference among multi-source images. The cloud removal image is clear and smooth.

关键词： remote sensing image cloud removal support vector regression multi-output

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A distributed high-rate and low-detection complexity cooperative relay transmission scheme

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Journal of Information and Computational Science 2014年第18期11卷 6591-6599页

作者： Xu, Lei Jiang, Ran Zhang, Gongquan Zou, Mingquan Li, Xiaohui Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China

Since the existing full-rate cooperative transmission schemes have a serious defect in low Bit Error Rate (BER) performance while the existing high-rate cooperative transmission schemes have a serious defect in low spectral efficiency, a distributed high-rate cooperative relay transmission scheme based on full-rate cooperative communication model is proposed in this paper, in which Cyclic Delay Diversity (CDD) technology and Linear Constellation Precoding (LCP) technology are employed. Moreover, the proposed scheme addresses the issue of obtaining maximum spatial and multipath diversity with low decoding complexity and high transmission reliability. The BER performance of the proposed scheme is contrasted to that of the full-rate transmission scheme where better performance is achieved, and is improved when the number of the multipath or the relay nodes increases.

关键词： Bit error rate

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A mixed structure of full-rate and low-detection complexity cooperative relay transmission scheme

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Journal of Computational Information Systems 2014年第21期10卷 9339-9349页

作者： Jiang, Ran Meng, Fanzhi Li, Xiaohui Key Lab of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China

Since the single-antenna relay cooperative communication systems have a serious defect in reliability of data transmission, while the MIMO communication systems have difficulty in design and decoding, we propose a mixed structure of full-rate and low-detection complexity cooperative relay transmission scheme based on full-rate relay cooperative transmission model, which combines the advantages of cyclic delay diversity (CDD) technology and linear constellation precoding (LCP) technology. This scheme can excavation diversity gain by using single antenna terminal and multiple antenna simultaneously, moreover, the decoding complexity is low. The bit error rate (BER) performance is improved with the number of the antenna or the multipath or the relay nodes increases.

关键词： Cooperative communication

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A full-rate distributed transmission scheme for two-way multi-antenna wireless cooperative relay networks

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Journal of Computational Information Systems 2014年第24期10卷 10593-10601页

作者： Zhang, Hongwei Li, Fengzhen Zhang, Gongquan Li, Ruzi Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China

A full-rate distributed transmission scheme for two-way multi-antenna wireless cooperative relay networks is proposed in this paper, which is suitable for the universal bidirectional relay communication model that two source terminals and all relays are equipped with multiple antennas. Orthogonal frequency division multiplexing (OFDM) ways are adopted to complete all information transmissions among different nodes. One whole bidirectional data exchange and transmission process between both source terminals mainly includes two stages. In the first stage, the symbols to be transmitted are jointly coded appropriately at two source terminals during several time slots on each sub-carrier, and then broadcasted to all relay nodes respectively. In the second stage, each OFDM modulation symbol is cyclically delayed with proper cyclic delay value at each relay in time domain. In the amplification and forwarding (AF) process, the operated signals at all relays are transmitted to both source terminals successively in time division (TD) ways, only those antennas performing cooperative relay transmissions at each relay node work together during several proper AF time slots. According to the coding and forwarding rules, one source terminal can obtain the original data from the other terminal after eliminating self-interferences. Finally, the proposed scheme can realize full-rate transmissions with low coding and detection complexity, which is applicable to the general bidirectional relay communication case, the coding process is simple and can be extended to design similar relay schemes easily. Simulation results verify the superiority and effectiveness of the proposed scheme.

关键词： Electronic data interchange

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