2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)最新文献

Informed Split Gradient Non-negative Matrix factorization using Huber cost function for source apportionment 基于Huber代价函数的非负矩阵分解

2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2016-12-12 DOI: 10.1109/ISSPIT.2016.7886011

Robert Chreiky, G. Delmaire, M. Puigt, G. Roussel, A. Abche

{"title":"Informed Split Gradient Non-negative Matrix factorization using Huber cost function for source apportionment","authors":"Robert Chreiky, G. Delmaire, M. Puigt, G. Roussel, A. Abche","doi":"10.1109/ISSPIT.2016.7886011","DOIUrl":"https://doi.org/10.1109/ISSPIT.2016.7886011","url":null,"abstract":"Source apportionment is usually tackled with blind Positive/Non-negative Matrix factorization (PMF/NMF) methods. However, the obtained results may be poor due to the dependence between some rows of the second factor. We recently proposed to inform the estimation of this factor using some prior knowledge provided by chemists—some entries are set to some fixed values—and the sum-to-one property of each row. These constraints were recently taken into account by using a parameterization which gathers all of them. In this paper, a novel robust NMF approach able to cope with outliers is proposed. For that purpose, we consider the Huber loss function—a ℓ2-ℓ1 cost function—which is robust to outliers, contrary to the Frobenius norm classically met in NMF. We thus propose new update rules for the informed Huber NMF in the framework of the split gradient techniques. The choice of the adaptive cutoff parameter—which links both single cost functions—is discussed along this paper. The proposed approach is shown to outperform state-of-the-art methods on several source apportionment simulations involving various input SNRs and outliers.","PeriodicalId":371691,"journal":{"name":"2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133745372","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

Sparse recovery using an iterative Variational Bayes algorithm and application to AoA estimation 稀疏恢复的迭代变分贝叶斯算法及其在AoA估计中的应用

2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2016-12-01 DOI: 10.1109/ISSPIT.2016.7886034

Ahmad Bazzi, D. Slock, Lisa Meilhac

引用次数: 3

Novel active PID controller employing VDTA 采用VDTA的新型有源PID控制器

2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2016-12-01 DOI: 10.1109/ISSPIT.2016.7886050

D. Prasad, M. Srivastava, Laxya, Farah Jabin, Ghania Fatima, S. Khan, Safa Tanzeem

引用次数: 2

LOS millimeter-wave communication with quadrature spatial modulation 具有正交空间调制的LOS毫米波通信

2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2016-12-01 DOI: 10.1109/ISSPIT.2016.7886018

R. Mesleh, Abdelhamid Younis

引用次数: 6

Improved dialect recognition for colloquial Arabic speakers 改进了阿拉伯语口语使用者的方言识别

2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2016-12-01 DOI: 10.1109/ISSPIT.2016.7886002

Rania R. Ziedan, Michael N. Micheal, Abdulwahab K. Alsammak, M. Mursi, Adel Said Elmaghraby

{"title":"Improved dialect recognition for colloquial Arabic speakers","authors":"Rania R. Ziedan, Michael N. Micheal, Abdulwahab K. Alsammak, M. Mursi, Adel Said Elmaghraby","doi":"10.1109/ISSPIT.2016.7886002","DOIUrl":"https://doi.org/10.1109/ISSPIT.2016.7886002","url":null,"abstract":"This article proposes a gender and geographical origin recognition system for Arabic speakers based on the dialect and accent characteristics. We demonstrate that the speaker gender and nationality can be determined from colloquial Arabic speech and recommend that this system can be integrated to more complex biometric applications. The acoustic features of our proposed dataset used to identify the speaker's dialect and accent, are extracted using Mel Frequency Cepstral Coefficients (MFCC) and Relative Spectral Analysis (RASTA) techniques. We compare results of classification based on Gaussian Mixture Model with Universal Background Model (GMM-UBM) and Identity Vector (I-vector) classifiers implemented using the MSR Identity Toolbox, which is a MATLAB toolbox for speaker-recognition research from Microsoft. The results show a significant decrease of equal error rate (EER) when recognizing dialect or accent based on gender. In addition, feature fusion of RASTA and MFCC is used to enhance the EER. Results show a 9.8% enhancement in EER over using the RASTA features only.","PeriodicalId":371691,"journal":{"name":"2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128755108","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

Big time-frequency domain data mining for underdetermined BSS using density component analysis 基于密度分量分析的欠定BSS大时频域数据挖掘

2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2016-12-01 DOI: 10.1109/ISSPIT.2016.7886032

Chengjie Li, Lidong Zhu, Zhongqiang Luo

{"title":"Big time-frequency domain data mining for underdetermined BSS using density component analysis","authors":"Chengjie Li, Lidong Zhu, Zhongqiang Luo","doi":"10.1109/ISSPIT.2016.7886032","DOIUrl":"https://doi.org/10.1109/ISSPIT.2016.7886032","url":null,"abstract":"Today's blind signal separation (BSS) processes are often controlled and supported by information systems. These systems record discrete time-frequency domain information about mixed signal during their executions. So, blind source separation problem (BSS) is transformed into data classification problem. In this paper, a novel Density Clustering algorithm (DC-algorithm) is proposed for frequency hopping signal under-determined blind source separation. Different from traditional methods, we formulate the separation problem as clustering problem, which is motivated by the fact that the mixed signal is sparse and the energy difference is as large as possible to satisfy cluster centers that are surrounded by neighbors with local lower density. In our method, we accomplish the underdetermined blind source separation by firstly computing the Short Time Fourier Transform (STFT) of each observation, secondly, formulating the separation problem as clustering problem. In this process, a new pair of cost functions are designed to improve the clustering. We verify the proposed method on several simulations. The experimental results demonstrate the effectiveness of the proposed method.","PeriodicalId":371691,"journal":{"name":"2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129535636","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

Preprocessing in a reaction-diffusion algorithm designed for image edge detection 一种用于图像边缘检测的反应扩散算法的预处理

2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2016-12-01 DOI: 10.1109/ISSPIT.2016.7886028

A. Nomura, K. Okada, Y. Mizukami

引用次数: 3

Controlled Airspace infringements and warning system 管制空域违例及警告系统

2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2016-12-01 DOI: 10.1109/ISSPIT.2016.7886007

Yousra Almathami, R. Ammar

引用次数: 3

MobiX: A software proposal based authentication service for mobile devices MobiX:基于软件提案的移动设备认证服务

2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2016-12-01 DOI: 10.1109/ISSPIT.2016.7886041

Ali Alsaadi, Anup Kumar, Bin Xie, Adel Said Elmaghraby

{"title":"MobiX: A software proposal based authentication service for mobile devices","authors":"Ali Alsaadi, Anup Kumar, Bin Xie, Adel Said Elmaghraby","doi":"10.1109/ISSPIT.2016.7886041","DOIUrl":"https://doi.org/10.1109/ISSPIT.2016.7886041","url":null,"abstract":"In this paper, MobiX technology provides security for online services using mobile devices with a wide range of customers including governments, military, business enterprises, and scientific organization, and individuals have been proposed. MobiX is a software security solution technology to enhance the networked mobile device trustworthiness, application integrity, preventing users from malware attacks. MobiX provides two authentication layers and two additional security layers in addition to the conventional username-password for mobile devices in a unique system design. MobiX is fully implemented by software; therefore, it can be quickly deployed into different legacy mobile devices. More importantly, the novel device authenticity is based on the one-way a keyless cryptographic hash function and on the Generalized Concatenated Code Physically Unclonable Function (GCCPUF) to effectively protect the users from different attack vectors such as insiders, spoofing attack, or identity theft attacks. On the other hand, the app authenticity prevents malware and app-tempering cybersecurity attacks via an efficient and secure remote attestation protocol. The comprehensive protection architecture of MobiX would enable M-commerce with superior security capabilities compared with the existing solutions.","PeriodicalId":371691,"journal":{"name":"2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115876742","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

JADED-RIP: Joint Angle and Delay Estimator and Detector via Rotational Invariance Properties jared - rip:基于旋转不变性的联合角度和延迟估计器和检测器

2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2016-12-01 DOI: 10.1109/ISSPIT.2016.7886027

Ahmad Bazzi, D. Slock, Lisa Meilhac

{"title":"JADED-RIP: Joint Angle and Delay Estimator and Detector via Rotational Invariance Properties","authors":"Ahmad Bazzi, D. Slock, Lisa Meilhac","doi":"10.1109/ISSPIT.2016.7886027","DOIUrl":"https://doi.org/10.1109/ISSPIT.2016.7886027","url":null,"abstract":"A novel approach entitled “Joint Angle and Delay Estimator and Detector”, or simply JADED, is presented. This approach allows simultaneous estimation of number of coherent/non-coherent sources and joint estimation of the angles and times of arrival of each source. The system is composed of a Uniform Linear Array (ULA) receiving known OFDM symbols from a user in an indoor environment, which is rich in multipath. Therefore, the objective is to apply the JADED approach to this scenario, which allows extraction of the Line-of-Sight component based on the first arriving path. The first method, called JADED-RIP, makes use of the Rotational Invariance Properties (RIP) of ULAs and OFDM symbols, detects the number of multipath components, and estimates the angles and times of arrival of each path by performing a 2D search. The second method is a Computationally Efficient Single Snapshot (CESS) version of the JADED-RIP, i.e. it requires a 1D search followed by a least squares fit, and can only be used when a single OFDM symbol is available. Future insights are given in the Conclusions section.","PeriodicalId":371691,"journal":{"name":"2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116970463","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: 2