J. Fan, R. Cheung, L. Chu, P. Fung, Chunqi Chang, H. Sik, M. Zhang, B. Xie, Y. Hung, J. L. Gao
{"title":"Age-related changes of EEG and its source in resting state","authors":"J. Fan, R. Cheung, L. Chu, P. Fung, Chunqi Chang, H. Sik, M. Zhang, B. Xie, Y. Hung, J. L. Gao","doi":"10.1109/ICDSP.2014.6900774","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900774","url":null,"abstract":"This study aimed to investigate the age-related changes in resting-state electroencephalogram (EEG) and EEG source, using spectrum analysis and wavelet entropy (WE). The data were collected from 9 healthy older adults and 16 young adults, with 128-channel NeuroSCAN EEG System. All the subjects were asked to close their eyes for 10 minutes. After preprocessing, the EEG power in different frequency bands and WE were calculated and analyzed. In order to localize the EEG in the cortex, we explored the source of EEG under the minimum norm-based constraint. Finally, we compute the power in alpha-band, beta-band, gamma-band, and WE of the signals in the source space. The result of power analysis showed that when compared to young subjects, the older adults had significantly reduced alpha activity in bilateral temporal pole areas and right parieto-tempora-occipital areas, while they had increased beta and gamma wave when resting. Source analysis showed the possible brain regions that generated these age-related changes. Finally, analysis on entropy showed increased brain wavelet complexity in older adults, and the generating sources were occipito-parietal lobes. It is possible that the older adults have more ongoing brain activities even at resting state, which could possibly be related to the dysfunction in inhibition. Future study is needed to confirm this assumption.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121149541","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}
{"title":"Steady-state comparative performance evaluation of piloted adaptive notch filter","authors":"Dinesh Kumar Chobey, Y. Lim, A. Constantinides","doi":"10.1109/ICDSP.2014.6900679","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900679","url":null,"abstract":"In this paper, we have presented the performance comparison of the piloted adaptive notch filter with the second-order adaptive IIR lattice notch filter and the adaptive IIR notch filter with constrained poles and zeroes. The steady-state analysis for mean square error (MSE) of the frequency estimate using simulations has been provided with roles of the user variables such as notch bandwidth and signal to noise ratio (SNR). This study verifies the excellent performance exhibited by the piloted adaptive notch filter over other algorithms with respect to the speed of convergence and MSE. Extensive computer simulations have been done to study the performance over a wide range of SNR and frequency values.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122340989","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}
{"title":"Music genre classification using polyphonic timbre models","authors":"Franz A. de Leon, K. Martinez","doi":"10.1109/ICDSP.2014.6900697","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900697","url":null,"abstract":"The increasing number of music available for download and subscriptions motivates the need for new solutions in organizing music for consumers. In this paper, several approaches for automatic genre classification of music using polyphonic timbre models are evaluated. Specifically, we compare the performance of the Gaussian mixture model (GMM), the Support Vector Machine (SVM), and the k-nearest neighbor (k-NN). Features are extracted to model the major attributes of timbre such as spectral envelope, range between tonal and noiselike character, and spectrotemporal evolution of sound. To address the scalability problem, a modified filter-and-refine method is integrated with the k-NN classifier. Results show that the 1-NN classifier with filter-and refine method achieved the highest classification accuracy on the GTZAN and ISMIR2004 datasets.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127187146","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}
{"title":"Multilevel image thresholding based on an extended within-class variance criterion","authors":"Chi-Yi Tsai","doi":"10.1109/ICDSP.2014.6900701","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900701","url":null,"abstract":"This paper addresses the issue of multilevel thresholding design for gray image segmentation. Most of the current multilevel image thresholding techniques require employing a criterion function to determine N-1 optimal thresholds for separating an image into N classes. In this paper, a new variance-based criterion function is proposed. Unlike the existing criterion functions, the proposed one is able to evaluate upper-bound and lower-bound thresholds for multiple classes individually. By doing so, it is possible to find 2N optimal thresholds for segmenting N classes. Moreover, an efficient multi-threshold searching is also proposed to speed up the threshold-decision process based on the proposed variance-based criterion function. Experimental results show that the proposed method not only performs well, but also succeeds to extract more details from background pixels.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130641759","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}
{"title":"A novel compression algorithm for IMFs of Hilbert-Huang transform","authors":"Ying-Jou Chen, Jian-Jiun Ding, Szu-Wei Fu","doi":"10.1109/ICDSP.2014.6900835","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900835","url":null,"abstract":"The intrinsic mode function (IMF) derived from empirical mode decomposition (EMD) of the Hilbert-Huang transform process is useful for time-variant signal analysis. In this paper, a novel algorithm for IMF compression is proposed. Instead of recording all of the extreme points, we just encode a part of the extreme points while the locations and amplitudes of the other extreme points are predicted. Moreover, the residue of interpolation is encoded by the prediction technique and the adaptive arithmetic coding scheme. Simulations show that the proposed algorithm is efficient for encoding the IMF and very effective for compressing vocal signals and biomedical signals.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"83 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116684613","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}
{"title":"A real-time image-based rendering and compression system with Kinect depth camera","authors":"Chong Wang, S. Chan, C. Ho, A. Liu, H. Shum","doi":"10.1109/ICDSP.2014.6900740","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900740","url":null,"abstract":"This paper presents a novel Kinect-assisted real-time image-based rendering and compression system for high definition (HD) multiview video sequences. It is constructed from a Kinect depth camera and multiple stereo cameras and is intended for applications involving indoor scenes with static cameras. The information from the Kinect depth camera and background modeling can be utilized to segment the scene into foreground objects and the background in real-time. The segmentation and depth information are then encoded together with the texture information for real-time view synthesis at the decoder. The compression algorithm is developed around the AVS framework because of its simplicity and good performance. Novel features such as multiview coding and virtual view synthesis are incorporated, which are also applicable to other video coding algorithms. To achieve real-time operation, extensive GPU acceleration and optimization were performed. Experimental results were presented to illustrate the design and usefulness of the proposed system.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133996298","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}
{"title":"Design of cosine-sine modulated filter banks without DC leakage","authors":"M. Maass, Huy Phan, A. Mertins","doi":"10.1109/ICDSP.2014.6900713","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900713","url":null,"abstract":"We propose a new design structure for the M-band dual-tree wavelet transform based on the idea of using cosine-sine modulated filter banks. The filter coefficients for the real and imaginary parts of the transform will be computed by using cosine- and sine-modulated filter banks, respectively. In the proposed structure, the zero-delay and maximum-delay matrices calculated for the cosine-modulated filter banks will be extended for sine-modulated filter banks with a few sign changes. Furthermore, the resulting structure can be easily enforced with the constraints so that the prototype is able to produce a pair of DC-leakage-free filter banks. The experimental results confirmed these advantageous properties of our proposed design structure.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"24 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113942829","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}
{"title":"A light field sparse representation structure and its fast coding technique","authors":"Jie Chen, Alexander Matyasko, Lap-Pui Chau","doi":"10.1109/ICDSP.2014.6900831","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900831","url":null,"abstract":"The dimensionality of light field data is typically very large for efficient implementation of sparse representation algorithms, such as for dictionary training and sparse coding. We propose a framework for creating light field dictionary using the method of perspective-shearing. Such a dictionary has a special organized structure for different central view patterns and perspective disparities. Based on this dictionary structure, a two-stage sparse coding algorithm is proposed to speed up the reconstruction process by incorporating an interim Winner-Take-All (WTA) hash coding stage into the Orthogonal Matching Pursuit (OMP) algorithm; this stage proves to speed up the sparse coding process by almost three times but still maintains the reconstruction quality. The proposed scheme produces impressive light field reconstruction qualities for compressed light field sensing.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121317865","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}
{"title":"Human action recognition using late fusion and dimensionality reduction","authors":"Haiyan Xu, Qian Tian, Zhen Wang, Jianhui Wu","doi":"10.1109/ICDSP.2014.6900787","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900787","url":null,"abstract":"This paper addresses the problem of action recognition. We introduce local feature representations which are HOG, HOF, MBH, trajectory descriptor based on paper [1]. We extract those features only used one scale while Wang's paper has eight spatial scales. Our method can save memory and computation cost while guarantee the accuracy. Firstly, we apply a PCA on the HOG, HOF, MBH, trajectory descriptors to reduce the number of features. Secondly, we use Fisher kernel (FK) to aggregate each descriptor into a Fisher vector (FV) or vector of locally aggregated descriptors (VLAD) and then use improved LDA technique for FV or VLAD before being fed into the linear SVM. Thirdly, we apply late fusion for all kinds of descriptors. We evaluate our descriptor on the KTH and Youtube dataset, and as a result, observe improved performance in terms of mean average precise (mAP). Our method not only significantly reduces computational cost but improves accuracy.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129336189","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}
Ning Fu, P. Song, Peizhuo Liu, Jingchao Zhang, Xiyuan Peng, G. Wang
{"title":"Boost the efficiency of spectrum sensing using synchronized random demodulation","authors":"Ning Fu, P. Song, Peizhuo Liu, Jingchao Zhang, Xiyuan Peng, G. Wang","doi":"10.1109/ICDSP.2014.6900721","DOIUrl":"https://doi.org/10.1109/ICDSP.2014.6900721","url":null,"abstract":"In many applications, performing spectrum sensing after sampling at the Nyquist rate is inefficient because the signals of interest contain only a small number of significant frequencies relative to the band limit, although the locations of the frequencies may not be known a priori. For this type of signal, we focus on improve Random Demodulation, a novel technology inspired by Compressed Sensing theory to achieve sub-Nyquist sampling and boosting the efficiency of spectrum sensing. So, Synchronized Random Demodulation technology is proposed and a corresponding system is designed in this paper. It is noticed that two key elements play crucial role in this sensing system: synchronization among signals and accurate system impulse response. Then, a specialized synchronization mechanism and a cross-correlation method for measuring SRD system impulse response is developed to improve the system performance. Experiments demonstrate that the sampling rates for successful spectrum sensing and signal recovery can be as low as 4% of Nyquist rate.","PeriodicalId":301856,"journal":{"name":"2014 19th International Conference on Digital Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129128320","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}