2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)最新文献_第7页

M-Estimation-Based Robust Kalman Filter Algorithm for Three-Dimensional AoA Target Tracking 基于m估计的三维AoA目标跟踪鲁棒卡尔曼滤波算法

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9231976

Yuexin Zhao, Wangdong Qi, Peng Liu, Jie Lin

引用次数: 1

Analysis of Crosstalk and Noise Limitation in a WDM Network with MWSF Based Limited Wavelength Interchange Optical Cross Connect 基于MWSF的有限波长交换光交叉连接的WDM网络串扰和噪声限制分析

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9232060

Munira Haque, S. Majumder

引用次数: 0

Joint User Selection and GMD-Based Hybrid Beamforming for Generalized Spatial Modulation Aided Millimeter-wave Massive MIMO Systems 广义空间调制辅助毫米波大规模MIMO系统的联合用户选择和基于gmd的混合波束形成

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9232115

Taissir Y. Elganimi, Amani A. Aturki

{"title":"Joint User Selection and GMD-Based Hybrid Beamforming for Generalized Spatial Modulation Aided Millimeter-wave Massive MIMO Systems","authors":"Taissir Y. Elganimi, Amani A. Aturki","doi":"10.1109/ICICSP50920.2020.9232115","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9232115","url":null,"abstract":"Multiple Input Multiple Output (MIMO) systems with limited Radio Frequency (RF) chains play a pivotal role in the Fifth Generation (5G) of wireless networks. However, the transmitter of Generalized Spatial Modulation MIMO (GSM-MIMO) systems that characterized by a single RF chain and multiple active antennas is capable of reducing both the energy consumption and the transmitter cost. In this paper, combining GSM-MIMO systems with the fully digital Geometric Mean Decomposition (GMD)-based precoding scheme and Analog Beamforming (ABF) into Hybrid Beamforming (HBF) regime is presented for Millimeter-wave (mmWave) massive MIMO systems which is a key enabler for 5G networks. In addition, applying the norm-based user selection algorithm in GSM-MIMO scheme with GMD-based hybrid precoding is proposed, and referred to as Multiuser Steered GSM-MIMO (MUS-GSM-MIMO) scheme. Simulation results demonstrate that the proposed schemes are capable of achieving considerable performance gains over the conventional GSM-MIMO schemes, while avoiding the overwhelming costs of multiple RF chains. Therefore, the proposed schemes are very efficient and highly suitable for large-scale and 5G wireless networks.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133420884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Spoken Language Identification with Deep Temporal Neural Network and Multi-levels Discriminative Cues 基于深度颞叶神经网络和多层次判别线索的口语识别

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9232093

Linjia Sun

{"title":"Spoken Language Identification with Deep Temporal Neural Network and Multi-levels Discriminative Cues","authors":"Linjia Sun","doi":"10.1109/ICICSP50920.2020.9232093","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9232093","url":null,"abstract":"The language cue is an important component in the task of spoken language identification (LID). But it will take a lot of time to align language cue to speech segment by the manual annotation of professional linguists. Instead of annotating the linguistic phonemes, we use the cooccurrence in speech utterances to find the underlying phoneme-like speech units by unsupervised means. Then, we model phonotactic constraint on the set of phoneme-like units for finding the larger speech segments called the suprasegmental phonemes, and extract the multi-levels language cues from them, including phonetic, phonotactic and prosodic. Further, a novel LID system is proposed based on the architecture of TDNN followed by LSTM-RNN. The proposed LID system is built and compared with the acoustic feature based methods and the phonetic feature based methods on the task of NIST LRE07 and Arabic dialect identification. The experimental results show that our LID system helps to capture robust discriminative information for short duration language identification and high accuracy for dialect identification.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131420458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Geoacoustic inversion based on matched impulse response processing for moving source 基于匹配脉冲响应处理的移动震源地声反演

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9232050

Yanqun Wu, Wen Zhang, Yonggang Lin, Guojun Xu, Bingbing Zhang

引用次数: 1

RS-LDPC Concatenated Coding for NAND Flash Memory: Designs and Reduction of Short Cycles NAND快闪记忆体的RS-LDPC连结编码:设计与缩短短周期

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9232125

Weidong Zhang, Jing Kang, Zhenxing Dong, Yan Zhu

引用次数: 2

Index Modulation Based on Four-dimensional Spherical Code 基于四维球面码的索引调制

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9232083

Jing Qu, Jun Zou, Jiyuan Sun, Meng Li, Chen Xu

引用次数: 1

A MR Image Denoising Algorithm based on Dictionary Learning with Minimax Concave Penalty 基于字典学习的极大极小凹惩罚MR图像去噪算法

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9232116

Jianhao Tang, Chao Wan, Jiacheng Ling, Zhenni Li

{"title":"A MR Image Denoising Algorithm based on Dictionary Learning with Minimax Concave Penalty","authors":"Jianhao Tang, Chao Wan, Jiacheng Ling, Zhenni Li","doi":"10.1109/ICICSP50920.2020.9232116","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9232116","url":null,"abstract":"Denoising for Magnetic Resonance (MR) image has become a hot research direction in the field of MR image processing. In recent years, dictionary learning methods has been widely used for MR image denoising, which are divided into two categories according to the different sparse regularizers: ℓ0 norm-based methods, ℓ1 norm-based methods. But ℓ0 norm will cause NP-hard problems, ℓ1 norm will cause problems such as weak sparsity and overpenalization. In this paper, we propose a novel MR denoising model based on dictionary learning with Minimax Concave Penalty (MCP) which is a nonconvex regularizer obtain unbiased results. To solve the problem efficiently, firstly, we apply local operations, patch-based dictionary for sparse representation. Secondly, we employ a decomposition method to transfer the whole problem to a set of subproblems, and then we employ alternating scheme for updating the dictionary and sparse coefficient alternately. To address the nonconvex subproblem with respect to the coefficient vector, we employ Difference of Convex (DC) technology and the Proximal Operator (PO) to obtain the closed-form solutions. Finally, we use the trained dictionary and the updated sparse coefficient to reconstruct the MR image, leading to an efficient denoising algorithm. In the experiment, we apply the proposed denoising algorithm to real-world data i.e. MR images of different parts of the human body to test the robustness, its denoising results are better than that of KSVD and SGK.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122195299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sparse Aperture Three-dimensional Reconstruction of Precession Target Based on Compressed Sensing 基于压缩感知的进动目标稀疏孔径三维重建

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9231975

Xingyu He, W. Feng, Jun Li, Xiaoyue Ren

{"title":"Sparse Aperture Three-dimensional Reconstruction of Precession Target Based on Compressed Sensing","authors":"Xingyu He, W. Feng, Jun Li, Xiaoyue Ren","doi":"10.1109/ICICSP50920.2020.9231975","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9231975","url":null,"abstract":"As a kind of high speed rotation object, precession target is faced with migration through resolution cell (MTRC) in long synthetic aperture while using translational inverse synthetic aperture radar (ISAR) imaging algorithm. Compressed sensing (CS), by which we can exact recovery sparse signal from very limited samples, suggests that sparse aperture imaging of precession target maybe achievable. A cyclic shift algorithm based on CS is proposed in this paper to exploit the sparse apertures data for high-resolution ISAR imaging. The sparse signal recovery and imaging of precession target is achieved coupled with FOCUSS (focal undetermined system solver) algorithm. A conventional ISAR imaging is a two-dimensional (2-D) range-Doppler projection of a target and does not provide three-dimensional (3-D) information which is more reliable. For missile shaped like a flat-bottom cone, multistatic ISAR geometry model is built, and a 3-D reconstruction method, which is featured with stable structure characteristics, is proposed based on multistatic ISAR images. Simulation and real data results verify the validity and superiority of the proposed method.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122605924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Hybrid Model Based on Inception Network and Conditional Random Fields for SAR Image Segmentation 基于初始网络和条件随机场的SAR图像分割混合模型

2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2020-09-01 DOI: 10.1109/ICICSP50920.2020.9232120

Yinyin Jiang, Ming Li, Peng Zhang, X. Tan, Beibei Li

{"title":"A Hybrid Model Based on Inception Network and Conditional Random Fields for SAR Image Segmentation","authors":"Yinyin Jiang, Ming Li, Peng Zhang, X. Tan, Beibei Li","doi":"10.1109/ICICSP50920.2020.9232120","DOIUrl":"https://doi.org/10.1109/ICICSP50920.2020.9232120","url":null,"abstract":"Convolutional neural network (CNN) has been acknowledged as an effective tool in the image process. However, CNN with the single-scale convolutional kernels has limited ability to segment synthetic aperture radar (SAR) image with complex scenes. To overcome the problem, a hybrid model, named Inception-CRF model, is proposed, which composes of Inception network and conditional random fields (CRF) model. Firstly, Inception network enlarges the width of the network by setting several parallel convolution operations. Thus, the multi-scale features, which contain various representations and are beneficial for preserving the structure information, are extracted for constructing the pixel-wise unary potential. Secondly, to make full use of the context information, the spatial correlations are constructed as pairwise potential, which is robust against speckle. Finally, the spatial correlations and multi-scale features are incorporated into the posterior distribution to capture information more comprehensively. Experiments on the simulated and real images demonstrate the effectiveness of Inception-CRF model in SAR image segmentation.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124320735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0