2016 IEEE International Conference on Digital Signal Processing (DSP)最新文献_第5页

Design of near perfect reconstruction prototype filter with FFT interpolation 基于FFT插值的近完美重构原型滤波器设计

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868536

Zhuyun Chen, Zhongliang Shen, D. Guo, Xi Wang

{"title":"Design of near perfect reconstruction prototype filter with FFT interpolation","authors":"Zhuyun Chen, Zhongliang Shen, D. Guo, Xi Wang","doi":"10.1109/ICDSP.2016.7868536","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868536","url":null,"abstract":"For higher-order and high complexity in designing perfect reconstruction prototype filter, a novel approach base on interpolation in FFT domain is proposed to design the near perfect reconstruction prototype filter. In our proposed scheme, we employ unconstrained iterative algorithm to obtain low-order model filter with high stopband attenuation, then exploits the FFT transform of model filter to get the discrete spectrum, and interpolates zeros at high-frequency position. Finally, the IFFT transform is performed to get the prototype filter which is suitable for near perfect reconstruction. Moreover, the afore mentioned approach use interpolation of FFT domain in combination with iterative optimizing, which avoids a large number of parameters to be optimized when the prototype filter is designed with a high stopband attenuation. Besides, the image spectrum is saved, which avoids the filter design of image suppressor, and results in the order reduction of the prototype filter and relieves the complexity of design. Simulation results reveal that our proposed method embraces favorable performance improvements compared with the conventional methods.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130340263","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

Computationally efficient DOA estimation using sparse arrays with I/Q mismatch and D.C. offsets 具有I/Q不匹配和直流偏移的稀疏阵列的高效DOA估计

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868513

S. Abeysekera

引用次数: 2

Retinal vessel segmentation based on adaptive difference of Gauss filter 基于高斯滤波自适应差分的视网膜血管分割

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868506

Zhitao Xiao, Mengdie Wang, Fang Zhang, Lei Geng, Jun Wu, Long Su, Jun Tong

引用次数: 4

More exercises, higher score: A case study by using online teaching assistant system 习题越多，分数越高:运用在线助教系统的案例分析

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868615

Yuantao Gu, Zhaoqun Chen, Pengfei Liu, Xiaohan Wang, Yating Liu, Junli Zheng

{"title":"More exercises, higher score: A case study by using online teaching assistant system","authors":"Yuantao Gu, Zhaoqun Chen, Pengfei Liu, Xiaohan Wang, Yating Liu, Junli Zheng","doi":"10.1109/ICDSP.2016.7868615","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868615","url":null,"abstract":"In this paper, a web-based education platform, named Online Teaching Assistant System (OTAS) [1], for Signals and Systems course is presented and experimented. Besides delivering courseware on webpage, this system provides students with numerous online quizzes for enhancing their memory, understanding, and reaction about basic concepts in the mentioned course. We then designed an experiment and tested OTAS in the Spring semester of 2015 by a class of a hundred undergraduate students in the Department of Electronic Engineering at Tsinghua University. In this experiment, one third of the class composed the test group and the others the control group. The students in test group utilized OTAS for doing quizzes, while in the same period they were enrolled in the “offline” course delivered by the teacher in the classroom, and did homework and project in traditional way, which was exactly the same as those in the control group. After half semester a formal test was set to evaluate the level of knowledge that students learned from this course. Statistical analysis on the test output indicated that introducing online practicing for elementary concepts in Signals and Systems resulted in better academic performance and more positive attitudes toward the subject. Delivery of materials and exercises via OTAS, including from both computers and mobile devices, provides greater access and flexibility for students to practice what they have learnt. Based on this experiment, we claim that the developed OTAS significantly improves the quality of education offered to the students.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134525456","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 simplified approach for a downward-looking GB-InSAR to terrain mapping 一种简化的GB-InSAR下视地形制图方法

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868544

Zhibiao Jiang, Jian Wang, Qian Song, Zhimin Zhou

引用次数: 1

The role of data balancing for emotion classification using EEG signals 数据平衡在脑电信号情绪分类中的作用

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868619

E. Pereira, H. Gomes

{"title":"The role of data balancing for emotion classification using EEG signals","authors":"E. Pereira, H. Gomes","doi":"10.1109/ICDSP.2016.7868619","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868619","url":null,"abstract":"In this paper, we demonstrate the role of data balancing in experimental evaluation of emotion classification systems based on electroencephalogram (EEG) signals. ADASYN method was employed to create a balanced version of the DEAP EEG dataset. Experiments considered Support Vector Machine classifiers trained with HOC and PSD features to predict valence and arousal affective dimensions. Using signals from only four channels (Fp1, Fp2, F3 and F4) we obtained, after balancing, accuracies of 98% (valence) and 99% (arousal) for subject dependent experiments with three classes, and 85% (valence) and 87% (arousal) for two-class classification. However, accuracies for subject independent experiments were lower than the ones obtained using imbalanced datasets. We obtained accuracies of 52% (valence) and of 49% (arousal) for two classes, and accuracies of 36% (valence) and of 31% (arousal) for three classes. To explain the low accuracies in subject independent experiments, we present arguments and empirical evidence using correlations between the percentage of samples for each class and the accuracies obtained by approaches which did not use balanced datasets.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115432170","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: 8

Interpolation by nonuniform B-spline through uniform B-spline filter banks 非均匀b样条通过均匀b样条滤波器组插值

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868582

Yanli Yang, De Ma, Ting Yu

引用次数: 3

A robust music genre classification approach for global and regional music datasets evaluation 一种用于全球和区域音乐数据集评估的鲁棒音乐类型分类方法

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868526

Jefferson Martins de Sousa, E. Pereira, L. Veloso

{"title":"A robust music genre classification approach for global and regional music datasets evaluation","authors":"Jefferson Martins de Sousa, E. Pereira, L. Veloso","doi":"10.1109/ICDSP.2016.7868526","DOIUrl":"https://doi.org/10.1109/ICDSP.2016.7868526","url":null,"abstract":"This paper deals with two problems: (1) the selection of a set of music features in order to achieve high genre classification accuracies; (2) the absence of a representative music dataset of regional Brazilian music. In this paper, we propose a set of features to classify genres of music. The features proposed were obtained by a methodical selection of important features used in the literature of Music Information Retrieval (MIR) and Music Emotion Recognition (MER). Besides, we propose a new music dataset called BMD (Brazilian Music Dataset)1, containing 120 songs labeled in 7 musical genres: FoFFó, Rock, Repente, MPB(Música Popular Brasileira — Brazilian Popular Music), Brega, Sertanejo and Disco. An important characteristic of this new dataset compared with others, is the presence of three popular genres in Brazil Northeast region: Repente, Brega and a characteristic genre similar to MPB, which we also call as MPB. We evaluated our proposed features on both datasets: GTZAN and BMD. The proposed approach achieved average accuracy (after 30 runs of 5-fold-cross-validations) of 79.7% for GTZAN and 86.11% for the BMD. Another important contribution of this work is random repetition of cross-validation executions. Most of the papers performs only a single n-fold cross-validation. We criticize that practice and propose, at least, 30 random executions to compute the average accuracy.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122021647","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: 19

Consistent 2D-to-3D video conversion using spatial-temporal nonlocal random walks 使用时空非局部随机游走的一致2d到3d视频转换

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868643

Zhiyuan Liang, Jianbing Shen

引用次数: 2

Digital recognition from lip texture analysis 唇纹分析的数字识别

2016 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2016-10-01 DOI: 10.1109/ICDSP.2016.7868603

Wenkai Dong, R. He, Shu Zhang

引用次数: 1