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2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)最新文献

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Estimation of time reversal target DOA over underwater acoustic multipath time-varying channels 水声多径时变信道时反转目标DOA估计
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889354
Jianfeng Shao, Xiaomin Zhang, Yihai Liu, Fuzhou Yang
{"title":"Estimation of time reversal target DOA over underwater acoustic multipath time-varying channels","authors":"Jianfeng Shao, Xiaomin Zhang, Yihai Liu, Fuzhou Yang","doi":"10.1109/ChinaSIP.2014.6889354","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889354","url":null,"abstract":"When the channel characteristics between uniform motion target and uniformed linear array (ULA) are changed, how to get the target DOA estimation using time reversal (TR) is discussed in this paper. First, based on the research of underwater acoustic multipath time-varying channel, the model of receiving array signal is analyzed, and then characteristics of time-delay spread are improved by TR of receiving array signal; Based on frequency reversal (FR), a TR method of each path recovered source signal is proposed; Finally, target DOA model is built by TR combined with FR (TR-FR). Simulation results show that the signal frequency offsets caused by multipath channel is involved with the number of array and multipath, and the performance of target DOA estimation based on TR-FR over underwater acoustic multipath time-varying channel is better than conventional TR methods.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133049562","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
A fast filtering algorithm using the transmission mechanism of human auditory information and its application on quadruped robot speed tracking 一种利用人听觉信息传递机制的快速滤波算法及其在四足机器人速度跟踪中的应用
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889207
You Zhou, W. Gao, F. Zha, Baoyu Song, Mantian Li, Pengfei Wang, Wei Guo
{"title":"A fast filtering algorithm using the transmission mechanism of human auditory information and its application on quadruped robot speed tracking","authors":"You Zhou, W. Gao, F. Zha, Baoyu Song, Mantian Li, Pengfei Wang, Wei Guo","doi":"10.1109/ChinaSIP.2014.6889207","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889207","url":null,"abstract":"This paper develops a fast filtering algorithm based on the transmission mechanism of human auditory information. By integrating the function of cochlea tuning and short-term synaptic plasticity, the derived details and the feasible parameter criterion under minimum error variance condition are discussed. For illustration, the developed fast filtering algorithm is applied to the speed tracking of quadruped robot walks. The comparison with the Kalman filtering method is given from two aspects, the tracking performance and the tracking speed. Both the two illustrate the high-efficiency of developed fast filtering algorithm.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127071362","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
Exposing the double compression in MP3 audio by frequency vibration 利用频率振动暴露MP3音频的双重压缩
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889283
T. Wang, Xiangwei Kong, Yanqing Guo, Bo Wang
{"title":"Exposing the double compression in MP3 audio by frequency vibration","authors":"T. Wang, Xiangwei Kong, Yanqing Guo, Bo Wang","doi":"10.1109/ChinaSIP.2014.6889283","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889283","url":null,"abstract":"A novel approach is presented to detect double compressed MP3 audio by frequency vibration. With the analysis of double compression effect on MDCT (Modified Discrete Cosine Transform) coefficients in MP3 audio, we propose a simple feature called FVV (frequency vibration value) to measure the vibration caused by double compression. The experimental results on challenging dataset show that our method outperforms most of the existing methods in double MP3 compression detection, especially with a second bitrate higher than the first one. Besides, we can also estimate the original bit-rate for a double compressed MP3 by this technique.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124356331","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
An efficient fixed codebook search for G.729 speech codec derived from RCM-based search algorithm 基于rcm的G.729语音编解码器的高效固定码本搜索
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889205
C. Yeh
{"title":"An efficient fixed codebook search for G.729 speech codec derived from RCM-based search algorithm","authors":"C. Yeh","doi":"10.1109/ChinaSIP.2014.6889205","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889205","url":null,"abstract":"This work aims to present a combined version of reduced candidate mechanism (RCM) and iteration-free pulse replacement (IFPR) as a novel and efficient way to enhance the performance of algebraic codebook search in an algebraic code-excited linear-prediction (ACELP) speech coder. As the first step, individual pulse contribution in each track is given by RCM, and the value of N is then specified. Subsequently, the replacement of a pulse is performed through the search over the sorted top N pulses by IFPR, and those of 2 to 4 pulses are carried out by a standard IFPR. Implemented on a G.729A speech codec, this proposal requires as few as 24 searches, a search load tantamount to 7.5% of G.729A, 37.5% of the global pulse replacement method (iteration=2), 50% of IFPR, but still provides a comparable speech quality in any case. The aim of significant search performance improvement is achieved in this work.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114470825","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
Summer school tutorials [abstracts of 4 tutorials] 暑期学校辅导课【4个辅导课摘要】
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/CHINASIP.2014.6889188
A. M. So
{"title":"Summer school tutorials [abstracts of 4 tutorials]","authors":"A. M. So","doi":"10.1109/CHINASIP.2014.6889188","DOIUrl":"https://doi.org/10.1109/CHINASIP.2014.6889188","url":null,"abstract":"In the past decade or so, we have witnessed an explosive growth in the use of convex optimization techniques to tackle problems in signal processing and communications. By drawing from the rich theory of and versatile algorithmic tools for convex optimization, researchers have been able to not only refine and improve old designs, but also come up with new, sophisticated designs and develop efficient algorithms for implementing them. In this tutorial, we will first cover the basics of convex optimization from problem formulation to theory to algorithms. Then, we will demonstrate how techniques from convex optimization offer design insights and efficient solution methods for some of the latest signal processing applications, such as transmit beamforming and sensor network localization.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"18 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116342106","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
Radar-based fall detection exploiting time-frequency features 利用时频特征的基于雷达的坠落检测
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889337
Luis Ramirez Rivera, Eric Ulmer, Yimin D. Zhang, Wenbing Tao, M. Amin
{"title":"Radar-based fall detection exploiting time-frequency features","authors":"Luis Ramirez Rivera, Eric Ulmer, Yimin D. Zhang, Wenbing Tao, M. Amin","doi":"10.1109/ChinaSIP.2014.6889337","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889337","url":null,"abstract":"Falls of the elderly are a major public health concern. In this paper, we develop an effective fall detection algorithm for application in continuous-wave radar systems. The proposed algorithm exploits time-frequency characteristics of the radar Doppler signatures, and the motion events are classified using the joint statistics of three different features. The effectiveness of the proposed technique is verified through measurement data.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116811544","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: 32
Multi-operator retargeting based on perceptual structural similarity 基于感知结构相似度的多算子重定位
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889276
Yuming Fang, Weisi Lin, Zhou Wang, Zhijun Fang, Long Xu, Yong Yang
{"title":"Multi-operator retargeting based on perceptual structural similarity","authors":"Yuming Fang, Weisi Lin, Zhou Wang, Zhijun Fang, Long Xu, Yong Yang","doi":"10.1109/ChinaSIP.2014.6889276","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889276","url":null,"abstract":"We propose a new multi-operator retargeting algorithm by using three resizing operators of seam carving, scaling, and cropping iteratively. To determine which operator should be used at each iteration, we adopt structural similarity (SSIM) to evaluate the similarity between the original and retargeted images for the dynamic programming. Since the sizes of original and retargeted images are different, SIFT flow is used for dense correspondence between the original and retargeted images for similarity evaluation. Additionally, visual saliency is used to weight SSIM results based on the characteristics of the Human Visual System (HVS). Experimental results on a public image retargeting database show the promising performance of the proposed multi-operator retargeting algorithm.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"18 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125770126","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
Joint source-channel coding of JPEG2000 image transmission over coded cooperative networks 编码合作网络上JPEG2000图像传输的联合源信道编码
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889247
Chongyuan Bi, Jie Liang, Di Wu
{"title":"Joint source-channel coding of JPEG2000 image transmission over coded cooperative networks","authors":"Chongyuan Bi, Jie Liang, Di Wu","doi":"10.1109/ChinaSIP.2014.6889247","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889247","url":null,"abstract":"In this paper, we propose a real-time successively refinable image transmission framework over coded cooperative networks. An Unequal Error Protection (UEP) scheme is designed to jointly allocate bits among source coding, channel coding and cooperation to minimize the reconstructed distortion at the receiver. The proposed scheme has a low complexity and is compliant to the JPEG2000 Wireless standard (JPWL). Experimental results demonstrate the effectiveness of the proposed scheme.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125779794","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
A comparative analysis of mutual information based feature selection for hyperspectral image classification 基于互信息特征选择的高光谱图像分类比较分析
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889220
Yuanyuan Fu, X. Jia, Wenjiang Huang, Jihua Wang
{"title":"A comparative analysis of mutual information based feature selection for hyperspectral image classification","authors":"Yuanyuan Fu, X. Jia, Wenjiang Huang, Jihua Wang","doi":"10.1109/ChinaSIP.2014.6889220","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889220","url":null,"abstract":"Feature selection is an important task for hyperspectral imagery classification and becomes more critical for the emerging big data analysis. Selection criteria based on mutual information theory have the advantages in terms of distribution free, nonlinearity and low computational load for multiclass cases. However several have been developed and are available to use. In this study, we conduct a comparative analysis on four defined criteria and their performances are evaluated using two hyperspectral data sets with two levels of sample sizes.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128400738","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
An effective missing feature compensation method for speech recognition at noisy environment 一种有效的噪声环境下语音识别缺失特征补偿方法
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) Pub Date : 2014-07-09 DOI: 10.1109/ChinaSIP.2014.6889217
Xuyan Hu, Y. Zou, Wei Shi
{"title":"An effective missing feature compensation method for speech recognition at noisy environment","authors":"Xuyan Hu, Y. Zou, Wei Shi","doi":"10.1109/ChinaSIP.2014.6889217","DOIUrl":"https://doi.org/10.1109/ChinaSIP.2014.6889217","url":null,"abstract":"It is a challenge task for maintaining high correct word accuracy rate (WAR) for state-of-art automatic speech recognition (ASR) systems when the SNR goes very low. To deal with such situation, the missing feature technology (MFT) has shown as one of the mainstream algorithms. In principle, conventional MFT firstly separate the unreliable spectral bins from the reliable ones. Then the unreliable bins are reconstructed by missing feature algorithm [7]. When SNR goes low, the performance of the conventional MFT for ASR system is limited since both the reliable and unreliable spectral bins will be corrupted by the noise components. In this paper, a novel missing feature compensation method was developed by considering compensating both unreliable and reliable spectral bins. With the assumption of GMM distribution of the clean speech spectral vector, a dual MFT (DMFT) algorithm is developed, where the reliable spectral bins corrupted by noise have been compensated by removing the noise components. Several experiments have been carried out to evaluate the performance of the proposed DMFT algorithm by using AURORA2 database. From the results, it is clear to see that the proposed DMFT algorithm improves the WAR under all types of noises at different SNR levels compared with the traditional MFT algorithm.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128714043","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
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