2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)最新文献_第4页

High-resolution and jamming-resistant UWB-OFDM SAR imaging 高分辨率和抗干扰UWB-OFDM SAR成像

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151624

Md Anowar Hossain, I. Elshafiey, M. Alkanhal

引用次数: 5

A brief survey on multispectral face recognition and multimodal score fusion 多光谱人脸识别与多模态分数融合研究综述

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151622

Yufeng Zheng, Adel Said Elmaghraby

{"title":"A brief survey on multispectral face recognition and multimodal score fusion","authors":"Yufeng Zheng, Adel Said Elmaghraby","doi":"10.1109/ISSPIT.2011.6151622","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151622","url":null,"abstract":"In this paper, we explore and compare four face recognition methods and their performance with multispectral face images, and further investigate the performance improvement using multimodal score fusion. The four face recognition methods include three classical methods, PCA, LDA and EBGM (elastic bunch graph matching), and one new method, FPB (face pattern byte). The FPB method actually extracts orientational facial features by Gabor wavelet transform and uses Hamming distance for face identification. When the multispectral images from the same subject are available, the identification accuracy and reliability can be significantly enhanced using score fusion. Four score fusion methods, mean fusion, LDA fusion, KNN (k-nearest neighbor) fusion, and HMM (hidden Markov model) fusion are implemented and compared. Our experiments are conducted with the ASUMS face database that currently consists of two-band images (visible and thermal) from 96 subjects. We compare the identification performance of applying the four recognition methods to the two-band face images, and compare the fusion performance of combing the multiple scores from different methods (matcher) and from different bands (modality) of face images. The experimental results show that the face identification rate can achieve 100% when fusing two FPB scores from two-band face images; overall, the FPB method performs the best; the score modality is a key factor in biometric score fusion; when the number of score modalities is fixed, the fusion method becomes next important factor to score fusion; and the HMM fusion is the most reliable score fusion method.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115092897","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: 31

Performance analysis of basic tree protocols and ALOHA-based anti-collision algorithms used in RFID systems RFID系统中基本树协议和基于aloha的防碰撞算法的性能分析

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151531

Hadjer Saadi, R. Touhami, M. Yagoub

引用次数: 4

EWMA based approaches for automated building energy analysis 基于EWMA的自动化建筑能耗分析方法

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151625

C. Martinez-Ortiz, Martin Beck, P. Wilde

引用次数: 4

Time-frequency characterization of tri-axial accelerometer data for fetal movement detection 胎儿运动检测用三轴加速度计数据的时频特性

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151607

M. Khlif, B. Boashash, S. Layeghy, T. B. Jabeur, M. Mesbah, C. East, P. Colditz

引用次数: 15

Sparsity recovery by iterative orthogonal projections of nonlinear mappings 非线性映射的迭代正交投影稀疏恢复

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/isspit.2011.6151555

A. Adamo, G. Grossi

引用次数: 3

Nonlinear bandwidth extension of audio signals based on hidden Markov model 基于隐马尔可夫模型的音频信号非线性带宽扩展

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151550

Xin Liu, C. Bao, Liyan Zhang, Xingtao Zhang, Feng Bao, Bing Bu

引用次数: 6

Fingerprinting localization based on neural networks and ultra-wideband signals 基于神经网络和超宽带信号的指纹定位

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151557

Lei Yu, M. Laaraiedh, S. Avrillon, B. Uguen

引用次数: 38

K-NN based interpolation to handle artifacts for heart rate variability analysis 基于K-NN的插值处理心率变异性分析的伪影

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151593

S. Begum, Md. Siblee Islam, Mobyen Uddin Ahmed, P. Funk

引用次数: 11

On designing optimal control systems through genetic and neuro-fuzzy techniques 利用遗传和神经模糊技术设计最优控制系统

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151547

D. Pelusi

{"title":"On designing optimal control systems through genetic and neuro-fuzzy techniques","authors":"D. Pelusi","doi":"10.1109/ISSPIT.2011.6151547","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151547","url":null,"abstract":"Many industrial processes are affected by flow disturbances and sensor noise. To maintain optimal timing performances, the control system needs to adapt continuously to these changes. The goodness of a control system depends on timing parameters such as settling time, rise time and overshoot. Avoiding undesirable overshoot, longer settling times and vibration from a state to another one, the designed control system gives optimal control performances. Control problems can be overcome using computational intelligence procedures. The target of this work is to find optimal combinations of intelligent techniques such as fuzzy logic, Genetic Algorithms and neural networks to obtain good control performances. The membership functions of the designed fuzzy controllers are optimized through Genetic Algorithms. Moreover, the fuzzy rules weights are tuned both Genetic Algorithms and neural networks. In this way, the control system has the capability to learn from data. The results show that our controllers improve the timing performances of conventional controllers. Moreover, the fuzzy rules weights optimization with Genetic Algorithms is improved using neural networks techniques which suitably tune the weights.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129703774","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: 17