IET Signal Process.最新文献_第6页

Sufficient condition for exact support recovery of sparse signals through greedy block coordinate descent 贪婪块坐标下降法精确支持稀疏信号恢复的充分条件

IET Signal Process. Pub Date : 2019-04-01 DOI: 10.1049/IET-SPR.2018.5123

Haifeng Li, Guoqi Liu, Jian Zou

引用次数: 1

Generalised two stage cumulants-based MUSIC algorithm for passive mixed sources localisation 基于两阶段累积量的广义MUSIC被动混合源定位算法

IET Signal Process. Pub Date : 2019-01-08 DOI: 10.1049/IET-SPR.2018.5357

A. Ebrahimi, H. R. Abutalebi, M. Karimi

引用次数: 7

Non-coherent detection of radar target in heavy-tailed sea clutter using bi-window non-linear shrinkage map 基于双窗非线性收缩图的重尾海杂波雷达目标非相干检测

IET Signal Process. Pub Date : 2016-12-01 DOI: 10.1049/iet-spr.2015.0564

Shu-wen Xu, P. Shui, Xue-Ying Yan

引用次数: 5

Discrete cosine transform-derived spectrum-based speech enhancement algorithm using temporal-domain multiband filtering 离散余弦变换派生的基于频谱的时域多带滤波语音增强算法

IET Signal Process. Pub Date : 2016-10-31 DOI: 10.1049/iet-spr.2016.0125

M. Jeeva, T. Nagarajan, Vijayalakshmi Parthasarathy

{"title":"Discrete cosine transform-derived spectrum-based speech enhancement algorithm using temporal-domain multiband filtering","authors":"M. Jeeva, T. Nagarajan, Vijayalakshmi Parthasarathy","doi":"10.1049/iet-spr.2016.0125","DOIUrl":"https://doi.org/10.1049/iet-spr.2016.0125","url":null,"abstract":"Conventional multiband speech enhancement involves splitting the spectrum into various frequency bins and performing speech enhancement in each band independently. However, owing to the pole-interaction problem in the spectral domain, estimation of clean speech from the formants, suppressed by the influence of the formants in the neighbouring bands, may result in poor quality. To reduce the influence of stronger formants over the neighbouring bands, in the current work, clean speech is estimated by filtering unprocessed speech in the temporal domain into various equivalent rectangular bandwidth based subbands followed by discrete cosine transform (DCT) based spectral speech enhancement in each band using spectral subtraction/minimum mean square error (MMSE). To further enhance speech, a spectral subtraction-based approach that incorporates band-specific weighting factor obtained using respective band signal-to-noise ratio (SNR), and an MMSE estimator that calculates apriori speech presence/absence probability based on local and global apriori SNR rather than a fixed/equiprobable value are proposed. The performance of the algorithms is evaluated using perceptual evaluation of speech quality and composite speech quality measure. It is observed that DCT-derived spectrum based temporal-domain multiband speech enhancement algorithm outperforms the existing techniques for car, babble, train, white, and factory noise in the 0-10 dB SNR levels.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124745526","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: 7

Sentence-HMM state-based i-vector/PLDA modelling for improved performance in text dependent single utterance speaker verification 基于句子- hmm状态的i-vector/PLDA建模改进文本依赖单话语说话人验证的性能

IET Signal Process. Pub Date : 2016-10-01 DOI: 10.1049/iet-spr.2015.0288

Osman Büyük

{"title":"Sentence-HMM state-based i-vector/PLDA modelling for improved performance in text dependent single utterance speaker verification","authors":"Osman Büyük","doi":"10.1049/iet-spr.2015.0288","DOIUrl":"https://doi.org/10.1049/iet-spr.2015.0288","url":null,"abstract":"In this paper, we make use of hidden Markov model (HMM) state alignment information in i-vector/probabilistic linear discriminant analysis (PLDA) framework to improve the verification performance in a text-dependent single utterance (TDSU) task. In the TDSU task, speakers repeat a fixed utterance in both enrollment and authentication sessions. Despite Gaussian mixture models (GMMs) have been the dominant modeling technique for text-independent applications, an HMM based method might be better suited for the TDSU task since it captures the co-articulation information better. Recently, powerful channel compensation techniques such as joint factor analysis (JFA), i-vectors and PLDA have been proposed for GMM based text-independent speaker verification. In this study, we train a separate i-vector/PLDA model for each sentence HMM state in order to utilize the alignment information of the HMM states in a TDSU task. The proposed method is tested using a multi-channel speaker verification database. In the experiments, it is observed that HMM state based i-vector/PLDA (i-vector/PLDA-HMM) provides approximately 67% relative reduction in equal error rate (EER) when compared to the i-vector/PLDA. The proposed method also outperforms the baseline GMM and sentence HMM methods. It yields approximately 51% relative reduction in EER over the best performing sentence HMM method.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"21 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":"121721993","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: 15

QRS residual removal in atrial activity signals extracted from single lead: a new perspective based on signal extrapolation 单导联心房活动信号的QRS残差去除:基于信号外推的新视角

IET Signal Process. Pub Date : 2016-07-18 DOI: 10.1049/iet-spr.2015.0508

Huhe Dai, Liyan Yin, Ye Li

{"title":"QRS residual removal in atrial activity signals extracted from single lead: a new perspective based on signal extrapolation","authors":"Huhe Dai, Liyan Yin, Ye Li","doi":"10.1049/iet-spr.2015.0508","DOIUrl":"https://doi.org/10.1049/iet-spr.2015.0508","url":null,"abstract":"Atrial activity (AA) signal must first be extracted from atrial fibrillation electrocardiogram (AF ECG) before it is used to characterise AF. However, extracting AA signal is not an easy task, especially from single-lead ECG recording. The AA signals within QRS intervals extracted by the existing single-lead extraction methods are often heavily distorted due to the existence of large QRS residuals. In this study, the authors focus on reducing the QRS residuals in the extracted AA signals, and propose a novel signal extrapolation based method. AA signal is assumed to be band-limited, and a dedicated extrapolation formula is derived. Based on this extrapolation formula, the AA samples within QRS interval are reconstructed by using the ones in the adjacent SQ segments. The experiments with simulated AF ECGs showed that, after using the proposed method, the normalised mean square error of the AA signal extracted by average beat subtraction method decreased by 26–50%, 15–36%, 12–40 and 42–63% for simulated AF ECGs in lead I, II, V 1 and V 6, respectively. Experiments with real AF ECG also proved that the proposed method is able to greatly reduce the ventricular residuals of the extracted AA signal.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125491638","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: 7

Multi-domain collaborative filter for interference suppressing 干扰抑制的多域协同滤波器

IET Signal Process. Pub Date : 2016-07-18 DOI: 10.1049/iet-spr.2016.0140

X. Mao, Yunlong Yang, Hong Hong, Weibo Deng

{"title":"Multi-domain collaborative filter for interference suppressing","authors":"X. Mao, Yunlong Yang, Hong Hong, Weibo Deng","doi":"10.1049/iet-spr.2016.0140","DOIUrl":"https://doi.org/10.1049/iet-spr.2016.0140","url":null,"abstract":"Filters with antenna arrays are widely used for interference suppression in the temporal domain, frequency domain, space domain and so on. Meanwhile, the interference mitigation performance of a single-domain-based filter depends on a noticeable difference between the target signal and interference in the corresponding domain. However, the interference cannot be efficiently suppressed by a single-domain-based filter when the difference in this individual domain is small. To solve this problem, a multi-domain collaborative oblique projection filter is proposed in this study. First, multi-domain spaces are theoretically derived to distinguish the target signal and the interference, and then a multi-domain oblique projection operator is provided to recover the original target and suppress the interference. Depending on the multi-domain spaces, the filter has excellent performance when the difference is insignificant in each individual domain, whereas the performances of the single-domain-based filter and cascade filter degrade significantly. Finally, a space–polarisation–frequency domain collaborative filter based on oblique projection is given as an illustration. Performance analysis and simulation results are provided to illustrate the superiority of the proposed filter for interference mitigation.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128068687","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: 9

Optimal design of wideband infinite impulse response fractional order digital integrators using colliding bodies optimisation algorithm 基于碰撞体优化算法的宽带无限脉冲响应分数阶数字积分器优化设计

IET Signal Process. Pub Date : 2016-07-18 DOI: 10.1049/iet-spr.2016.0298

S. Mahata, S. Saha, R. Kar, D. Mandal

{"title":"Optimal design of wideband infinite impulse response fractional order digital integrators using colliding bodies optimisation algorithm","authors":"S. Mahata, S. Saha, R. Kar, D. Mandal","doi":"10.1049/iet-spr.2016.0298","DOIUrl":"https://doi.org/10.1049/iet-spr.2016.0298","url":null,"abstract":"This study presents a novel approach to design wideband infinite impulse response fractional order digital integrators (FODIs) for the half and one-fourth order integrators based on a parameter independent metaheuristic algorithm called colliding bodies optimisation (CBO). The performance of CBO-based FODIs have been compared with the designs based on three well-known benchmark evolutionary optimisation algorithms namely, real coded genetic algorithm (RGA), particle swarm optimisation (PSO), and differential evolution (DE) in terms of robustness, consistency, parameter sensitivity, convergence speed, and computational time. Simulations results confirm that the proposed CBO-based designed FODIs achieve consistently superior magnitude responses in a computationally efficient manner as compared with the designs based on RGA, PSO, and DE. The proposed CBO-based FODIs also significantly outperform all state-of-the-art designs reported in literature in terms of two different magnitude response error metrics. This research work underlines the potential of CBO as an efficient optimisation tool for the design of accurate digital approximations to the fractional order integrators.","PeriodicalId":272888,"journal":{"name":"IET Signal Process.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121231853","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: 30

One sample per person face recognition via sparse representation 基于稀疏表示的一人一样本人脸识别

IET Signal Process. Pub Date : 2016-07-15 DOI: 10.1049/iet-spr.2016.0067

Yan Zhang, Hua Peng

引用次数: 5

Two-dimensional DOA estimation for L-shaped array with nested subarrays without pair matching 无对匹配的l形嵌套子阵列二维DOA估计

IET Signal Process. Pub Date : 2016-07-13 DOI: 10.1049/iet-spr.2015.0252

Yang-yang Dong, Chun-xi Dong, Ying-Tong Zhu, Guoqing Zhao, Song-yang Liu

引用次数: 44