2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)最新文献_第9页

An Unsupervised Sequence-to-Sequence Autoencoder Based Human Action Scoring Model 基于无监督序列到序列自编码器的人类动作评分模型

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969424

Hiteshi Jain, Gaurav Harit

引用次数: 5

Cramér-Rao Bound for Joint Angle and Delay Estimators by Partial Relaxation 基于部分松弛的联合角和延迟估计的cram<s:1> - rao界

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969286

Ahmad Bazzi

引用次数: 2

Bring Light to the Night: Classifying Thermal Image Via Convolutional Neural Network Based on Visible Domain Transformation 给黑夜带来光明:基于可见域变换的卷积神经网络热图像分类

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969076

G. Lu

引用次数: 0

Ising Dropout with Node Grouping for Training and Compression of Deep Neural Networks 基于节点分组的深度神经网络训练与压缩Ising Dropout

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969121

H. Salehinejad, Zijian Wang, S. Valaee

{"title":"Ising Dropout with Node Grouping for Training and Compression of Deep Neural Networks","authors":"H. Salehinejad, Zijian Wang, S. Valaee","doi":"10.1109/GlobalSIP45357.2019.8969121","DOIUrl":"https://doi.org/10.1109/GlobalSIP45357.2019.8969121","url":null,"abstract":"Dropout is a popular regularization method to reduce over-fitting while training deep neural networks and compress the inference model. In this paper, we propose Ising dropout with node grouping, which represents a deep multilayer perceptron (MLP) neural network as a graph with fixed grouped nodes and uses the Ising energy to drop group of nodes. This method is an extension to our proposed Ising dropout method, which had the limit of solving the Ising energy model for MLPs with limited graph order. The proposed fixed grouping method enables applying drop-out to deep MLPs with any order. Performance of this method is evaluated on handwritten digits (MNIST), Fashion-MNIST, Free Spoken Digit Dataset (FSDD), and Street View House Numbers (SVHN) datasets and compared with the standard dropout and standout methods. Preliminary results show that the proposed approach can keep the classification performance competitive to the original network while eliminating optimization of unnecessary network parameters in each training cycle. This method can compress the inference model significantly while maintaining the classification performance.","PeriodicalId":221378,"journal":{"name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"292 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132553080","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: 5

Recovery of Event Related Potential Signals using Compressive Sensing and Kronecker Technique 基于压缩感知和Kronecker技术的事件相关电位信号恢复

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969504

S. A. Khoshnevis, S. Ghorshi

{"title":"Recovery of Event Related Potential Signals using Compressive Sensing and Kronecker Technique","authors":"S. A. Khoshnevis, S. Ghorshi","doi":"10.1109/GlobalSIP45357.2019.8969504","DOIUrl":"https://doi.org/10.1109/GlobalSIP45357.2019.8969504","url":null,"abstract":"Brain-computer interfaces (BCIs) are devices that are developed to enable the brain to communicate with a machine directly. These devices usually make use of event-related potential (ERP) component of electroencephalography (EEG) signals. BCIs have several applications, but perhaps the most important one is to communicate with the advance neuromuscular patients. P300 Speller is a method that was developed by making use of BCIs and ERPs to make it possible to communicate with a computer through EEG recordings. The sensitive nature of these signals makes it essential to make sure they have a high recovery rate once they have been compressed. Compressive sensing (CS) is a compression method which takes advantage of the potential sparsity of the signals and aims to reconstruct a signal from a smaller number of measurements that is specified by the Nyquist theorem. CS has been studied in various signal processing areas. Because of the low power consumption and the elapsed time for generating CS measurements, CS became as one of the most efficient compression methods. In this work, we study the applicability of CS and its recovery quality for ERP signals. We run the experiments based on random and deterministic sensing matrices and two different sparsifying bases. The simulation results show that the ERP signal is very suitable for CS compression up to 75% compression ratio (CR). For the recovery phase, we investigate the effects of the recently developed preprocessing approach called Kronecker- based technique. By using Kronecker-based technique in recovery, we could recover the original signal with high accuracy up to 30 dB.","PeriodicalId":221378,"journal":{"name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114151066","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: 10

Admm for Gridless Dod and Doa Estimation in Bistatic Mimo Radar Based on Decoupled Atomic Norm Minimization with One Snapshot 基于单快照解耦原子范数最小化的双基地Mimo雷达无网格Dod和Doa估计

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969436

Wen-Gen Tang, Hong Jiang, Qi Zhang

{"title":"Admm for Gridless Dod and Doa Estimation in Bistatic Mimo Radar Based on Decoupled Atomic Norm Minimization with One Snapshot","authors":"Wen-Gen Tang, Hong Jiang, Qi Zhang","doi":"10.1109/GlobalSIP45357.2019.8969436","DOIUrl":"https://doi.org/10.1109/GlobalSIP45357.2019.8969436","url":null,"abstract":"In this paper, the issue of gridless compressed sensing (CS)-based direction-of-departure (DOD) and direction-of- arrival (DOA) estimation for bistatic multiple-input multiple- output (MIMO) radar is investigated with one snapshot, and an alternating direction method of multipliers (ADMM) for 2D parameter estimation using decoupled atomic norm minimization (DANM) is proposed. In the proposed algorithm, the decoupled atom set and atomic norm for DOD and DOA estimation are defined, then the atomic norm is transformed into a semi-definite programming (SDP) minimization problem. To decrease the computational complexity of solving SDP using interior point method based SDPT3 solver in CVX toolbox, the DANM with ADMM is deduced, which can greatly decrease the running time, especially in the presence of large scale arrays. Finally, the DOD and DOA are obtained via shift-invariance parameter estimation. It overcomes the grid-mismatch effect of grid-partition of the conventional CS methods, and outperforms the traditional subspace-based methods. Numerical simulations are presented to demonstrate the estimation performance of the proposed algorithm.","PeriodicalId":221378,"journal":{"name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"378 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131871962","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: 5

Multi-Mode Generalized Space-Time Index Modulation: A High-Rate Index Modulation Scheme for MIMO-ISI Channels 多模广义空时指数调制:MIMO-ISI信道的高速率指数调制方案

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969398

L. N. Theagarajan

{"title":"Multi-Mode Generalized Space-Time Index Modulation: A High-Rate Index Modulation Scheme for MIMO-ISI Channels","authors":"L. N. Theagarajan","doi":"10.1109/GlobalSIP45357.2019.8969398","DOIUrl":"https://doi.org/10.1109/GlobalSIP45357.2019.8969398","url":null,"abstract":"In this paper, a new index modulation technique, referred to as the multi-mode generalized space-time index modulation (MM-GSTIM) is presented. MM-GSTIM is a high-rate index modulation scheme for multiantenna inter-symbol interference (MIMO-ISI) channels. The proposed MM-GSTIM is a single carrier scheme with zero padding (ZP). MM-GSTIM performs ‘mode-indexing’ to efficiently increase the spectral efficiency. In a given MM-GSTIM frame, disjoint subsets of space-time slots are used to transmit modulation symbols from disjoint modulation alphabets (referred to as the modes). The choice of which space-time slots are used for transmission of a particular mode in an MM-GSTIM matrix conveys information bits. Thus, MM-GSTIM is a generalization of the well-known index modulation schemes such as spatial modulation (SM), generalized spatial modulation (GSM), and space-time index modulation. Here, an analytical characterization of the diversity order of the proposed MM-GSTIM scheme and the conditions required to maximize the transmission rate of multi-mode index modulation schemes are derived. Through simulations, it is shown that the proposed MM-GSTIM scheme can achieve better performance compared to other modulation schemes in MIMO-ISI channels.","PeriodicalId":221378,"journal":{"name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131955163","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: 1

Deep Ensemble Learning: A Communications Receiver Over Wireless Fading Channels 深度集成学习:无线衰落信道上的通信接收机

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969302

Amer Al-Baidhani, H. Fan

引用次数: 2

Distributed Sparse Activity Detection in Cell-Free Massive MIMO Systems 无小区大规模MIMO系统的分布式稀疏活动检测

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969500

Mangqing Guo, M. C. Gursoy

引用次数: 9

Application of FBMC to DVB-T2: a Comparison vs Classical OFDM Transmissions FBMC在DVB-T2中的应用:与经典OFDM传输的比较

2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Pub Date : 2019-11-01 DOI: 10.1109/GlobalSIP45357.2019.8969550

Anne-Carole Honfoga, T. Nguyen, M. Dossou, V. Moeyaert

{"title":"Application of FBMC to DVB-T2: a Comparison vs Classical OFDM Transmissions","authors":"Anne-Carole Honfoga, T. Nguyen, M. Dossou, V. Moeyaert","doi":"10.1109/GlobalSIP45357.2019.8969550","DOIUrl":"https://doi.org/10.1109/GlobalSIP45357.2019.8969550","url":null,"abstract":"In this paper, filter bank based multicarrier/Offset Quadrature Amplitude Modulation (FBMC/OQAM) is compared with a Cyclic Prefix based OFDM (CP-OFDM). Indeed, due to its high level of compatibility with OFDM systems, FBMC system is proposed as a new technique for European Digital Video Broadcasting-Terrestrial Second generation (DVB-T2) systems. To meet the performance requirement of the DVB-T2, the approach is based on a technique named nearly perfect reconstruction (NPR) filter bank system. The main characteristic of this approach is the use of Frequency Sampling (FS) Sub-Channel Equalizer, based on Complex Finite Impulse Response (CFIR) filter, to deal with the high frequency selective impairments. Simulation results indicate that, compared to FBMC, CP-OFDM requires about 1dB extra Signal to Noise Ratio (SNR) value at a bit error rate of 10-3 for high order modulation formats and at large number of sub-carriers. As FBMC system discards the use of the cyclic prefix, commonly used in OFDM, the data rate can be increased of up to 14.84% or even 25% maintaining the same bandwidth utilization.","PeriodicalId":221378,"journal":{"name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124814326","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