2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)最新文献_第10页

Multiscale directional transforms based on cosine-sine modulated filter banks for sparse directional image representation 基于余弦-正弦调制滤波器组的多尺度方向变换稀疏定向图像表示

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8282331

Yusuke Nomura, Ryutaro Ogawa, Seisuke Kyochi, Taizo Suzuki

{"title":"Multiscale directional transforms based on cosine-sine modulated filter banks for sparse directional image representation","authors":"Yusuke Nomura, Ryutaro Ogawa, Seisuke Kyochi, Taizo Suzuki","doi":"10.1109/APSIPA.2017.8282331","DOIUrl":"https://doi.org/10.1109/APSIPA.2017.8282331","url":null,"abstract":"This paper proposes multiscale directional transforms (MDTs) based on cosine-sine modulated filter banks (CSMFBs). Sparse image representation by directional transforms is necessary for image analysis and processing tasks and has been extensively studied. Conventionally, cosine-sine modulated filter banks (CSMFBs) have been proposed as one of separable directional transforms (SepDTs). Their computational cost is much lower than non-SepDTs, and they can work better than other SepDTs, e.g., dual-tree complex wavelet transforms (DTCWTs) in image processing applications. One drawback of CSMFBs is a lack of multiscale directional selectivity, i.e., it cannot provide multiple scale directional atoms as in the DTCWT frame, and thus flexible image representation cannot be achieved. In this work, we show a design method of multiscale CSMFBs by extending modulated lapped transforms, which are a subclass of CSMFBs. We confirm its effectiveness in nonlinear approximation and image denoising as a practical application.","PeriodicalId":142091,"journal":{"name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134477401","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

Spread spectrum compressed sensing magnetic resonance imaging via fractional Fourier transform 基于分数阶傅里叶变换的扩频压缩感知磁共振成像

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8282007

Xiao-Zhi Zhang, Ya Li, B. Ling, Chao Song, K. Teo

{"title":"Spread spectrum compressed sensing magnetic resonance imaging via fractional Fourier transform","authors":"Xiao-Zhi Zhang, Ya Li, B. Ling, Chao Song, K. Teo","doi":"10.1109/APSIPA.2017.8282007","DOIUrl":"https://doi.org/10.1109/APSIPA.2017.8282007","url":null,"abstract":"Compressed sensing (CS) has shown great potential in accelerating data acquisition procedure for magnetic resonance imaging (MRI). For compressed sensing magnetic resonance imaging (CS-MRI), the incoherence between the sensing and the sparsity matrices is a key role of the performance . However, in conventional MRI, the sensing matrix is Fourier matrix and the sparsifying transform matrix is Wavelet matrix, respectively. They are not optimally incoherent. Moreover, Fourier encoding weakly spreads out energy and concentrates the energy in the center of the k-space. This will further reduce the randomness of the under-sampling pattern. Therefore, for the CS-MRI, incoherence between the sensing and the sparsity matrices will be weak and lead to a degradation of images reconstruction quality for highly under-sampling factors. In this paper, we investigate spread spectrum incoherent sampling compressed sensing MRI using fractional Fourier transform. Simulation results shown that the fractional Fourier transform encoding can spread out the energy more uniformly than the conventional Fourier encoding. Then it is beneficial for designing the incoherent sampling pattern to satisfy the incoherent requirements of the CS-MRI.","PeriodicalId":142091,"journal":{"name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130287140","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

Two-dimensional winner-takes-all hashing in template protection based on fingerprint and voice feature level fusion 基于指纹和语音特征级融合的二维赢者通吃的模板保护算法

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8282253

K. Chee, Zhe Jin, W. Yap, B. Goi

{"title":"Two-dimensional winner-takes-all hashing in template protection based on fingerprint and voice feature level fusion","authors":"K. Chee, Zhe Jin, W. Yap, B. Goi","doi":"10.1109/APSIPA.2017.8282253","DOIUrl":"https://doi.org/10.1109/APSIPA.2017.8282253","url":null,"abstract":"Biometrics has been explosively deployed for identity verification and/or identification over the last decade. Lately, multi-biometric systems are gaining attention due to its universality and higher accuracy in biometric recognition. However, the compromise of templates stored in database as separate entities in multi-biometric systems undoubtedly poses the major security and privacy threats due to the strong binding between identity and biometric data. In this paper, we propose to fuse fingerprint and voice modalities at feature level to obtain an integrated template. Subsequently, we propose two-dimensional Winner-Takes-All hashing method to protect the fused template. The proposed hashing method is inspired from Winner-Takes-All hashing and further altered for this unique multi-biometric system. Specifically, the proposed hashing method transforms the continuous fused biometric feature into discrete value. Such transformation enjoys strong non-linearity and thus resilient to the feature variation in certain degree. We show that the resultant hashed code can withstand the major attacks (e.g. template invertibility attack, attack via multiplicity etc.) while yielding reasonable recognition performance. A low equal error rate of 0.94% is obtained using the proposed hashing method on fingerprint images from FVC2002 DB1 and FVC2002 DB2 datasets and voice features from NIST Speaker Recognition Evaluation (SRE) 2004 ∼ 2010. More importantly, the proposed two-dimensional Winner-Takes-All hashing method can be extended and applied to other biometric modalities with real value representation.","PeriodicalId":142091,"journal":{"name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"10 47","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113954626","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: 5

Topic embedding of sentences for story segmentation 面向故事分割的句子主题嵌入

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8282280

J. Yu, Xiong Xiao, Lei Xie, Chng Eng Siong

引用次数: 1

Digital computation of fractional Fourier and linear canonical transforms and sparse image representation 分数傅里叶和线性正则变换的数字计算和稀疏图像表示

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8282011

Aykut Koç, Haldun M. Özaktas, Burak Bartan, Erhan Gundogdu, T. Çukur

{"title":"Digital computation of fractional Fourier and linear canonical transforms and sparse image representation","authors":"Aykut Koç, Haldun M. Özaktas, Burak Bartan, Erhan Gundogdu, T. Çukur","doi":"10.1109/APSIPA.2017.8282011","DOIUrl":"https://doi.org/10.1109/APSIPA.2017.8282011","url":null,"abstract":"Fast and accurate digital computation of the fractional Fourier transform (FRT) and linear canonical transforms (LCT) are of utmost importance in order to deploy them in real world applications and systems. The algorithms in O(NlogN) to obtain the samples of the transform from the samples of the input function are presented for several different types of FRTs and LCTs, both in 1D and 2D forms. To apply them in image processing we consider the problem of obtaining sparse transform domains for images. Sparse recovery tries to reconstruct images that are sparse in a linear transform domain, from an underdeter- mined measurement set. The success of sparse recovery relies on the knowledge of domains in which compressible representations of the image can be obtained. In this work, we consider two- and three-dimensional images, and investigate the effects of the fractional Fourier (FRT) and linear canonical transforms (LCT) in obtaining sparser transform domains. For 2D images, we investigate direct transforming versus several patching strategies. For the 3D case, we consider biomedical images, and compare several different strategies such as taking 2D slices and optimizing for each slice and direct 3D transforming.","PeriodicalId":142091,"journal":{"name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124437732","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

Compressed sensing reconstruction of MR phase-varied images using multi-scale complex sparsifying transform 基于多尺度复稀疏化变换的MR相变图像压缩感知重构

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8282198

S. Ito

引用次数: 1

Statistical-mechanical analysis of the FXLMS algorithm for multiple-channel active noise control 多通道主动噪声控制中FXLMS算法的统计力学分析

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8282015

Tomoki Murata, Y. Kajikawa, S. Miyoshi

引用次数: 4

Secure data management system with traceability against internal leakage 具有可追溯性的安全数据管理系统，防止内部泄漏

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8282268

M. Kuribayashi, Takahiro Ueda, N. Funabiki

引用次数: 0

Design of adaptively scaled belief in large MIMO detection for higher-order modulation 高阶调制下大MIMO检测的自适应尺度信度设计

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8282325

Takumi Takahashi, S. Ibi, S. Sampei

{"title":"Design of adaptively scaled belief in large MIMO detection for higher-order modulation","authors":"Takumi Takahashi, S. Ibi, S. Sampei","doi":"10.1109/APSIPA.2017.8282325","DOIUrl":"https://doi.org/10.1109/APSIPA.2017.8282325","url":null,"abstract":"This paper proposes a new design criterion of adaptively scaled belief (ASB) in Gaussian belief propagation (GaBP), especially for large multi-user multi-input multi-output (MU-MIMO) detection with higher-order modulation. The most vital issue with regard to improving the convergence property of GaBP iterative detection is how to deal with the soft symbol outliers, which are induced by modeling errors of prior beliefs due to a lack of channel hardening effects. Unfortunately, the modeling errors become more severe in the presence of higher correlation among typical bit-wise prior beliefs while utilizing higher-order quadrature amplitude modulation (QAM) schemes. To avoid impairments of the inter-bit correlation, symbol-wise beliefs are defined for GaBP self-iterative detection. Moreover, as a simplest way to mitigate the harmful impacts of soft symbol outliers, a novel adaptive belief scaling is proposed while stabilizing dynamics of random MIMO channels. Finally, the validity of ASB for symbol-wise iterative detection is confirmed regarding suppression of the bit error rate (BER) floor level.","PeriodicalId":142091,"journal":{"name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121205539","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: 5

Enhanced F0 generation for GPR-based speech synthesis considering syllable-based prosodic features 考虑基于音节韵律特征的基于gpr的语音合成增强F0生成

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8282285

Decha Moungsri, Tomoki Koriyama, Takao Kobayashi

引用次数: 0