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2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)最新文献

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Sparsity analysis using a mixed approach with greedy and LS algorithms on channel estimation 在信道估计中使用贪婪和LS混合方法进行稀疏性分析
2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-01 DOI: 10.1109/ICFSP.2017.8097148
Nilson M. Paiva, E. C. Marques, L. Naviner
{"title":"Sparsity analysis using a mixed approach with greedy and LS algorithms on channel estimation","authors":"Nilson M. Paiva, E. C. Marques, L. Naviner","doi":"10.1109/ICFSP.2017.8097148","DOIUrl":"https://doi.org/10.1109/ICFSP.2017.8097148","url":null,"abstract":"Various channels can be denoted by sparse channels and many algorithms have been proposed to exploit their sparsity. In this paper, we propose a mixed algorithm based on Greedy and LS algorithms for sparse channel estimation. Analyses of the proposed and commonly used algorithms in terms of performance and complexity are performed considering the channel's sparsity, the length of training sequence and the stopping criterion. Our results show that a suitable trade-off can be found and effective channel estimations can be obtained with a low-cost algorithm.","PeriodicalId":382413,"journal":{"name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121065972","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
Robust non parametric CFAR detector in compound Gaussian clutter 复合高斯杂波鲁棒非参数CFAR检测器
2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-01 DOI: 10.1007/978-3-319-94211-7_21
Nouh Guidoum, F. Soltani, Khaled Zebiri, A. Mezache
{"title":"Robust non parametric CFAR detector in compound Gaussian clutter","authors":"Nouh Guidoum, F. Soltani, Khaled Zebiri, A. Mezache","doi":"10.1007/978-3-319-94211-7_21","DOIUrl":"https://doi.org/10.1007/978-3-319-94211-7_21","url":null,"abstract":"","PeriodicalId":382413,"journal":{"name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"409 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124351775","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
Induction motor fault diagnosis using ANFIS based on vibration signal spectrum analysis 基于振动信号频谱分析的感应电机故障诊断
2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-01 DOI: 10.1109/ICFSP.2017.8097151
M. Moghadasian, S. M. Shakouhi, S. S. Moosavi
{"title":"Induction motor fault diagnosis using ANFIS based on vibration signal spectrum analysis","authors":"M. Moghadasian, S. M. Shakouhi, S. S. Moosavi","doi":"10.1109/ICFSP.2017.8097151","DOIUrl":"https://doi.org/10.1109/ICFSP.2017.8097151","url":null,"abstract":"In this work, vibration signals of a faulty induction motor are analyzed to establish an intelligent fault diagnosis system using Adaptive Neuro-Fuzzy Inference System (ANFIS). Firstly, signal spectra of individual motor fault models are obtained. Subsequently, representative characteristic frequency spectra are identified, and the correlation between the motor fault types and their corresponding characteristic frequency spectra are established. Finally, the test results confirm that the proposed fault diagnosis system is robust, and requires less complication than former proposed methods.","PeriodicalId":382413,"journal":{"name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132400288","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
Adaptable look-up tables for linearizing high power amplifiers 用于线性化高功率放大器的适应性查找表
2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-01 DOI: 10.1109/ICFSP.2017.8097149
A. Ivanov, D. Lakontsev
{"title":"Adaptable look-up tables for linearizing high power amplifiers","authors":"A. Ivanov, D. Lakontsev","doi":"10.1109/ICFSP.2017.8097149","DOIUrl":"https://doi.org/10.1109/ICFSP.2017.8097149","url":null,"abstract":"This paper presents a technique of adaptive digital predistortion (DPD) with a memory effect for linearization a high power amplifier (HPA). The proposed predistortion linearizer is based on Look-Up tables (LUTs) with linear interpolation and adaptive segmentation. Simulation results with a lab signal of 40W dual-band HPA with memory effect show that the proposed technique achieves a better performance compared with a common LUT-based linear interpolation in the same chip complexity. We also propose an online segmentation method, leading to a quasi-uniform noise distribution between LUTs. Additionally, an online method of LUTs memory adaptation is presented to save chip memory resources.","PeriodicalId":382413,"journal":{"name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131302153","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: 2
An approach of algorithmic clustering based on string compression to identify bird songs species in xeno-canto database 基于字符串压缩的算法聚类方法在xeno-canto数据库中识别鸟鸣种
2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-01 DOI: 10.1109/ICFSP.2017.8097150
G. Sarasa, Ana Granados, F. B. Rodríguez
{"title":"An approach of algorithmic clustering based on string compression to identify bird songs species in xeno-canto database","authors":"G. Sarasa, Ana Granados, F. B. Rodríguez","doi":"10.1109/ICFSP.2017.8097150","DOIUrl":"https://doi.org/10.1109/ICFSP.2017.8097150","url":null,"abstract":"In this work, we analyze the usefulness of the normalized compression distance (NCD) as a similarity measure to bird species identification through audio samples. As a first approach we review the effect of different compression methods from 7z and CompLearn Toolkit, over subsets of bird audio samples obtained from the xeno-canto database. The performance of each compression method was measured applying hierarchical clustering and projection mapping to the distance matrix, and later on, measuring the quality of both of them. Our results are very promising and show that the identification of a bird species among multiples audio samples is possible through NCD-based-on clustering.","PeriodicalId":382413,"journal":{"name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"377 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115477420","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: 6
Dorsal hand vein recognition based on Riesz Wavelet Transform and Local Line Binary Pattern 基于Riesz小波变换和局部线二值模式的手背静脉识别
2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-01 DOI: 10.1109/ICFSP.2017.8097159
R. Malutan, S. Emerich, S. Crisan, O. Pop, László Lefkovits
{"title":"Dorsal hand vein recognition based on Riesz Wavelet Transform and Local Line Binary Pattern","authors":"R. Malutan, S. Emerich, S. Crisan, O. Pop, László Lefkovits","doi":"10.1109/ICFSP.2017.8097159","DOIUrl":"https://doi.org/10.1109/ICFSP.2017.8097159","url":null,"abstract":"Biometrics has been widely used in the last decades for security purposes and for increasing the confidence of people in the new informational systems. The present paper presents a new analysis and encoding method of dorsal hand vein patterns, for biometric recognition. Two multiresolution approaches, Discrete Wavelet Transform and Riesz Wavelet Transform, are firstly applied to extract directional image features. The resulted coefficients are encoded based on an ordinal procedure, namely Local Line Binary Pattern.","PeriodicalId":382413,"journal":{"name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128901836","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
Velody — A novel method for music steganography 一种新的音乐隐写方法
2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-01 DOI: 10.1109/ICFSP.2017.8097052
Camilla Vaske, Mattias Weckstén, E. Järpe
{"title":"Velody — A novel method for music steganography","authors":"Camilla Vaske, Mattias Weckstén, E. Järpe","doi":"10.1109/ICFSP.2017.8097052","DOIUrl":"https://doi.org/10.1109/ICFSP.2017.8097052","url":null,"abstract":"This study describes a new method for musical steganography utilizing the MIDI format. MIDI is a standard music technology protocol that is used around the world to create music and make it available for listening. Since no publicly available method for MIDI steganography has been found (even though there are a few methods described in the literature), the study investigates how a new algorithm for MIDI steganography can be designed so that it satisfies capacity and security criteria. As part of the study, a method for using velocity values to hide information in music has been designed and evaluated, during which the capacity of the method is found to be comparable with similar methods. In an audibility test, it is observed that audible impact on the music can not be distinguished at any reasonable significance level, which means that also a security criterion is met.","PeriodicalId":382413,"journal":{"name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131937293","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
Embryonic image enhancement based on genetic algorithm and generic filter 基于遗传算法和通用滤波器的胚胎图像增强
2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-01 DOI: 10.1109/ICFSP.2017.8097158
Milad Momeni, Z. H. Nezhad, M. Moghaddam
{"title":"Embryonic image enhancement based on genetic algorithm and generic filter","authors":"Milad Momeni, Z. H. Nezhad, M. Moghaddam","doi":"10.1109/ICFSP.2017.8097158","DOIUrl":"https://doi.org/10.1109/ICFSP.2017.8097158","url":null,"abstract":"Monitoring the development of embryos in In vitro fertilization (IVF) clinical procedures is essential to prevent missing crucial events, so embryos should be kept a couple of days in a Time-Lapse. Time-Lapse is a heating incubator with an embedded camera. The captured images by these devices are usually influenced by many several different kinds of factors. This paper employs a robust, fault tolerant and reliable method to enhance the quality of embryonic images using composite filter which is a combination of several types of filters. Likewise, a comparison is presented between our method and some other enhancement techniques. Finally, the experimental results showed this method could efficiently enhance the quality of captured embryos' images.","PeriodicalId":382413,"journal":{"name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126071746","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: 2
Speech recognition and classification using the compressive sensing method 语音识别与分类采用压缩感知方法
2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-01 DOI: 10.1109/ICFSP.2017.8097051
Sombat Buakhlai, S. Udomsiri
{"title":"Speech recognition and classification using the compressive sensing method","authors":"Sombat Buakhlai, S. Udomsiri","doi":"10.1109/ICFSP.2017.8097051","DOIUrl":"https://doi.org/10.1109/ICFSP.2017.8097051","url":null,"abstract":"The research is aimed to present speech signal recognition and classification using the compressive sensing method to reduce the data from speech signal cross-correlation and to compare similarity and difference between the reference speech signal (the researcher's signal) and comparative signals. The speech signal reconstruction method is based on the solution to the underdetermined linear inverse problem. The number of equations measured is less than that of data dimensions (m<<n). This is solved by the Tikhonov regularization. The research efficiency of speech recognition and classification is presented by comparing norm values and regularization values (λ) normwise relative errors and regularization values (λ) the ratio of ℓ<inf>1</inf>/ ℓ<inf>2</inf> norms and regularization values (λ) to acquire the zero norm (ℓ<inf>0</inf> =||x||<inf>0</inf>) that means numerical sparse measurement. The research also indicates the effectiveness of speech signal reconstruction based on measurement of signal to noise ratio (SNR) between the reference speech signal (the researcher's speech signal), comparative speech signals and regularization values (λ). The benefit of the research will be applied to classifying individual speech signals for security.","PeriodicalId":382413,"journal":{"name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115556513","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
Efficient handoff spectrum scheme using fuzzy decision making in cognitive radio system 认知无线电系统中基于模糊决策的高效频谱切换方案
2017 3rd International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2017-09-01 DOI: 10.1109/ICFSP.2017.8097144
M. Roslee, A. Alhammadi, M. Y. Alias, K. Anuar, Prince Ugochukwu Nmenme
{"title":"Efficient handoff spectrum scheme using fuzzy decision making in cognitive radio system","authors":"M. Roslee, A. Alhammadi, M. Y. Alias, K. Anuar, Prince Ugochukwu Nmenme","doi":"10.1109/ICFSP.2017.8097144","DOIUrl":"https://doi.org/10.1109/ICFSP.2017.8097144","url":null,"abstract":"Cognitive Radio Network (CRN) is a new technique that utilizes available unlicensed spectrum bands due to limited numbers of fixed licensed spectrum bands. It consists of four main functions, namely, spectrum sensing, spectrum decision, spectrum sharing and spectrum mobility. We focus on the spectrum mobility (also known as spectrum handoff) which manages the movements of secondary users to occupy the vacant unlicensed spectrum without interrupting the transmission of primary users. In this paper, we introduce spectrum handoff based on the fuzzy logic system. The proposed system consists of one Fuzzy Logic Controllers (FLC) with three input linguistic variables, namely, received power, eNB load and arrival rate of PUs and one linguistic variable (handoff probability). The proposed system provides a good platform to avoid unwanted handoff in CRNs in LTE-A system.","PeriodicalId":382413,"journal":{"name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"19 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113958738","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: 12
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