发布求助
文献互助 智能选刊 最新文献

2016 IEEE 13th International Conference on Signal Processing (ICSP)最新文献

筛选
英文 中文
ICA and PCA integrated feature extraction for classification ICA和PCA结合特征提取进行分类
2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7877996
Md. Shamim Reza, Jinwen Ma
{"title":"ICA and PCA integrated feature extraction for classification","authors":"Md. Shamim Reza, Jinwen Ma","doi":"10.1109/ICSP.2016.7877996","DOIUrl":"https://doi.org/10.1109/ICSP.2016.7877996","url":null,"abstract":"Accurate feature extraction plays a vital role in the fields of machine learning, pattern recognition and image processing. Feature extraction methods based on principal component analysis (PCA), independent component analysis (ICA), and linear discriminant analysis (LDA) are capable of improving the performances of classifiers. In this paper, we propose two features extraction approaches, which integrate with the extracted features of PCA and ICA through some statistical criterion. The performances of the proposed feature extraction approaches are evaluated on simulated data and three public data sets by using cross-validation accuracy of different classifiers that found in statistics and machine learning literature. Our experiment result shows that integrated with ICA and PCA feature is more effective than others in classification analysis.","PeriodicalId":234499,"journal":{"name":"2016 IEEE 13th International Conference on Signal Processing (ICSP)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125092551","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: 26
An improved procedure for ZDC reduction in high resolution imaging of rotating targets 旋转目标高分辨率成像中ZDC降低的改进程序
2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7878071
Liya Liang, Xiaojian Xu
{"title":"An improved procedure for ZDC reduction in high resolution imaging of rotating targets","authors":"Liya Liang, Xiaojian Xu","doi":"10.1109/ICSP.2016.7878071","DOIUrl":"https://doi.org/10.1109/ICSP.2016.7878071","url":null,"abstract":"Strong background clutter exists in many cases such as inverse synthetic aperture radar (ISAR) imagery of turntable objects, which results in severely corrupted images. This work mainly aims at the reduction of zero-Doppler clutter (ZDC) for fixed background in high resolution radar imaging of rotating targets. Existing signal processing techniques for ZDC suppression are first addressed. An improved procedure is developed to avoid the defects of existing techniques. Experimental results using outdoor range measurements are presented to demonstrate the usefulness of the proposed technique.","PeriodicalId":234499,"journal":{"name":"2016 IEEE 13th International Conference on Signal Processing (ICSP)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125899183","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
Emotion categorization based on probabilistic Latent Emotion Analysis model 基于概率潜在情绪分析模型的情绪分类
2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7877906
Li Jiang, Kai Fang, Hao Xue, Shuoyan Liu
{"title":"Emotion categorization based on probabilistic Latent Emotion Analysis model","authors":"Li Jiang, Kai Fang, Hao Xue, Shuoyan Liu","doi":"10.1109/ICSP.2016.7877906","DOIUrl":"https://doi.org/10.1109/ICSP.2016.7877906","url":null,"abstract":"This paper proposes a probabilistic Latent Emotion Analysis (pLEA) model, which is an extension of probabilistic Latent Semantic Analysis (pLSA) model, to discover latent emotion topics considering theoretical and empirical concepts from psychology and art theory. The traditional pLSA models performed poorly since the statistical model are hardly narrowing the semantic gap between low-level image features and high-level emotion concepts. To address this problem, this paper introduces the affective concept from art theory to bridge the semantic gap. To be specific, the pLEA model first builds the relations between visual words and affective concepts. And then discovers the latent emotion topics based on the affective concepts. Meanwhile, we exploit the training images labels to modulate the learning process of latent emotion topics, aiming to make them similar to the actual image emotion labels. Once obtained the emotion topics, the appearing frequency of the corresponding emotion topics in a given image forms a histogram, which can be subsequently used in the scene categorization task via the Support Vector Machine (SVM) classifier. The proposed approach has been tested on the International Affective Picture System (IAPS) and a set of artistic photography and abstract paintings. The experimental results have demonstrated the effectiveness of the proposed method for eliciting image emotions.","PeriodicalId":234499,"journal":{"name":"2016 IEEE 13th International Conference on Signal Processing (ICSP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115078569","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
Creating video summarization from emotion perspective 从情感角度创作视频摘要
2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7878001
Yijie Lan, Shikui Wei, Ruoyu Liu, Yao Zhao
{"title":"Creating video summarization from emotion perspective","authors":"Yijie Lan, Shikui Wei, Ruoyu Liu, Yao Zhao","doi":"10.1109/ICSP.2016.7878001","DOIUrl":"https://doi.org/10.1109/ICSP.2016.7878001","url":null,"abstract":"This paper proposes a novel approach of summarization to non-professional edited videos containing a lot of redundant information, from the viewpoint of emotion. Ground-truth emotion scores of each frame are firstly obtained from our dataset annotated by humans. Then, we extract emotional features of each frame from training set videos. After that, we train our predictive model from the feature vectors and emotion scores by using linear regression. Meanwhile, videos are partitioned into several segments. We select a subset of segments in the video whose length is below a specific value by optimizing the sum of their emotion scores. This subset of segments can be treated as the emotional video summarization desired. The experimental results show that the proposed scheme can achieve an effective emotional video summarization.","PeriodicalId":234499,"journal":{"name":"2016 IEEE 13th International Conference on Signal Processing (ICSP)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115079188","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
A high-precision TOA-based positioning algorithm without the restriction of strict time synchronization for wireless systems 一种不受严格时间同步限制的无线系统高精度toa定位算法
2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7878111
Kang Yimei, Wang Jiawei
{"title":"A high-precision TOA-based positioning algorithm without the restriction of strict time synchronization for wireless systems","authors":"Kang Yimei, Wang Jiawei","doi":"10.1109/ICSP.2016.7878111","DOIUrl":"https://doi.org/10.1109/ICSP.2016.7878111","url":null,"abstract":"Time-of-arrival (TOA) is a range-based positioning method with high positioning precision. However, TOA-based methods require strict time synchronization between nodes, which puts forward high requirements on the hardware and power consumption of sensor nodes. For the high cost hardware problem of TOA-based methods, we propose a TOA-based iterative algorithm (iTOA) that can be applied to the wireless system under the condition of low time synchronization precision to achieve high positioning precision. Without the restriction of strict time synchronization, iTOA can reduce the difficulty of hardware implementation. iTOA eliminates the time synchronization error via iteration and minimizes the non-line-of-sight propagation error by using the weighted least square method at the same time. Moreover, iTOA can be applied to the network with changing beacons. The simulation results show that the average positioning precision improves at least 27.2% and 38.3% compared to CCTG and LOP, respectively. As the time synchronization precision decreases, the positioning precision improvement is more obvious compared to CCTG and LOP. For a low time synchronization precision system, the positioning error of iTOA is almost 99.99% less than both CCTG and LOP.","PeriodicalId":234499,"journal":{"name":"2016 IEEE 13th International Conference on Signal Processing (ICSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122638260","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
In vivo wearable non-invasive glucose monitoring based on dielectric spectroscopy 基于介电光谱的体内可穿戴无创血糖监测
2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7878054
Yuhang Liu, Meng Xia, Ze-dong Nie, Jingzhen Li, Yicheng Zeng, Lei Wang
{"title":"In vivo wearable non-invasive glucose monitoring based on dielectric spectroscopy","authors":"Yuhang Liu, Meng Xia, Ze-dong Nie, Jingzhen Li, Yicheng Zeng, Lei Wang","doi":"10.1109/ICSP.2016.7878054","DOIUrl":"https://doi.org/10.1109/ICSP.2016.7878054","url":null,"abstract":"Non-invasive glucose monitoring is the most attractive way for people with diabetes. In this paper, we proposed a wearable prototype system for bio-impedance measurement. A tetrapolar Analog-Front-End (4E-AFE) was designed to fully adapt the AD5933 to a four electrode strategy. A normal oral glucose tolerance test (OGTT) in vivo were conducted to investigate the feasibility of the prototype system. The impedance spectroscopy on fingertip within the frequency range of 10 KHz–100 KHz were measured. The characteristic parameters, R0, R∞ α, fc, Re, Ri, of the bio-impedance equivalent model were extracted. Experimental results shows that the characteristic parameter fc is maximum and then decreasing gradually during period of postprandial 0.5h-1h. Lastly, the value of fc is rising again at postprandial 1.5h, which indicate an inverse behavior that might be an expected response for blood glucose levels based on the OGTT.","PeriodicalId":234499,"journal":{"name":"2016 IEEE 13th International Conference on Signal Processing (ICSP)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128479008","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: 13
Flat optical frequency comb generation for high frequency and broadband photonic RF channelization 用于高频和宽带光子射频信道化的平面光频梳生成
2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7878130
Lihua Lei, Lei Zhang, Naijin Liu, Ming Xue
{"title":"Flat optical frequency comb generation for high frequency and broadband photonic RF channelization","authors":"Lihua Lei, Lei Zhang, Naijin Liu, Ming Xue","doi":"10.1109/ICSP.2016.7878130","DOIUrl":"https://doi.org/10.1109/ICSP.2016.7878130","url":null,"abstract":"This paper presents the design and simulative results of an optical frequency comb (OFC) with good flatness and wide Free Spectral Range (FSR) for the photonic Radio-Frequency (RF) channelization used to process high frequency and wideband RF signals. The scheme of a photonic RF channelizer employing a flat optical frequency comb based on cascaded intensity modulator (IM) and phase modulator (PM) is described and the performance of the adopted OFC generator is investigated through simulation. By tuning the power and the phase of the driven signal respectively, 8 lines and 12 lines flat OFCs spaced by 40 GHz with the flatness less than 2.2dB and 1.1dB are achieved. The simulation results confirms the cost-effective generation of a very flat OFC, which is suitable for the RF channelizer and makes the real-time, high-resolution monitoring of the entire RF spectrum feasible.","PeriodicalId":234499,"journal":{"name":"2016 IEEE 13th International Conference on Signal Processing (ICSP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128727507","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
Multiple kernel collaborative representation based classification 基于多核协同表示的分类
2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7877946
Ru Li, Qian Zhang, Zhimin Gao, Baodi Liu, Yanjiang Wang
{"title":"Multiple kernel collaborative representation based classification","authors":"Ru Li, Qian Zhang, Zhimin Gao, Baodi Liu, Yanjiang Wang","doi":"10.1109/ICSP.2016.7877946","DOIUrl":"https://doi.org/10.1109/ICSP.2016.7877946","url":null,"abstract":"At present, collaborative representation based classification (CRC) is widely used in many pattern classification and recognition tasks. Meanwhile, spatial pyramid matching (SPM) method, which considers the spatial information in representing the image, is efficient for image classification. However, for SPM, the weights to evaluate the representation of different subregions are fixed. In this paper, we combine CRC and multiple kernel learning approach, propose the multiple kernel collaborative representation based classification (MKCRC) method, and apply it to image classification to learn the weights of different subregions in representing the image. Experimental results have obvious advantages than state-of-the-art methods in several benchmark datasets, such as Caltech101, 102flowers, Scene 15 and UIUC sports.","PeriodicalId":234499,"journal":{"name":"2016 IEEE 13th International Conference on Signal Processing (ICSP)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124593012","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
Cloud removal for optical images using SAR structure data 基于SAR结构数据的光学图像去云
2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7878153
Cheng Zhu, Zhiqin Zhao, Xiaozhang Zhu, Z. Nie, Q. Liu
{"title":"Cloud removal for optical images using SAR structure data","authors":"Cheng Zhu, Zhiqin Zhao, Xiaozhang Zhu, Z. Nie, Q. Liu","doi":"10.1109/ICSP.2016.7878153","DOIUrl":"https://doi.org/10.1109/ICSP.2016.7878153","url":null,"abstract":"Cloud cover impacts the quality of optical remote sensing images. Generally, temporal methods and inpainting methods are used to remove the clouds. The temporal methods reconstruct cloudy areas via a series of multi-temporal images, thus suffer from the assumption that the landscape does not change over a period of time. The inpainting methods fill the areas via image patches from the image itself. Lacking prior information of the cloudy areas, these methods are limited in reconstructing accuracy, especially when clouds lie on the boundaries of two types of landscapes. We propose a new method based on the inpanting method which take the SAR (Synthetic Aperture Radar) images as a prior structure information of contaminated. Using information from two kinds of images acquired at the same time, the proposed method also avoids inaccuracy caused by land changes in temporal methods. This idea has been demonstrated by experiments carried out on Theme Mapper data and Sentinel-1A data. In terms of RMSE (Root Mean Square Error), the proposed method is evaluated and compared with several other cloud removal algorithm.","PeriodicalId":234499,"journal":{"name":"2016 IEEE 13th International Conference on Signal Processing (ICSP)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124618954","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
Novel reduced-complexity channel state selection algorithms for media-based modulation 基于媒体调制的新型低复杂度信道状态选择算法
2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7878028
Liu Yapeng, Tao Cheng, Liu Liu, Li Yongzhi
{"title":"Novel reduced-complexity channel state selection algorithms for media-based modulation","authors":"Liu Yapeng, Tao Cheng, Liu Liu, Li Yongzhi","doi":"10.1109/ICSP.2016.7878028","DOIUrl":"https://doi.org/10.1109/ICSP.2016.7878028","url":null,"abstract":"In this paper, we investigate low complexity channel state selection algorithms in single input multiple output media-based modulation (SIMO-MBM) based on maximizing the minimum Euclidean distance of constellation. We propose two channel state selection algorithms called CS-MBM and CS-MSBM for SIMO-MBM with only MBM information transmitted and with both MBM and source-based modulation (SBM) information transmitted, respectively. The proposed channel state selection algorithms can reduce the complexity significantly especially at large constellation size. Simulation results show that although both algorithms suffer from a little loss in performance with large signal-to-noise (SNR) at small constellation size, they perform well at large constellation size and even better at some specific SNR region. These two algorithms can also be combined with other reduced complexity schemes to further decrease the complexity of channel state selection.","PeriodicalId":234499,"journal":{"name":"2016 IEEE 13th International Conference on Signal Processing (ICSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129702320","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信
小红书