2019 5th International Conference on Frontiers of Signal Processing (ICFSP)最新文献_第2页

Bilateral Filters with Elliptical Gaussian Kernels for Seismic Surveys Denoising 椭圆高斯核双边滤波器用于地震测量去噪

2019 5th International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2019-09-01 DOI: 10.1109/icfsp48124.2019.8938084

H. Nuha, Mohamed Deriche, M. Mohandes

{"title":"Bilateral Filters with Elliptical Gaussian Kernels for Seismic Surveys Denoising","authors":"H. Nuha, Mohamed Deriche, M. Mohandes","doi":"10.1109/icfsp48124.2019.8938084","DOIUrl":"https://doi.org/10.1109/icfsp48124.2019.8938084","url":null,"abstract":"Seismic surveys consist of large volumes of data acquired by a network of sensors. Such survey data is usually corrupted by different types of noise and other distortions. Under these conditions, the recovery of correct seismic amplitudes has become more challenging. The accuracy of such amplitudes is of primary importance in the pipeline of seismic interpretation. In this work, we introduce a seismic image denoising approach based on the Bilateral filter with Elliptic Gaussian kernel (BFEGK). The Bilateral filter is a non-linear filter that preserves edges and reduces noise. We enhance the filter for seismic image denoising by formulating an elliptic Gaussian kernel. We utilize the interquartile range to obtain a robust estimate of the noise standard deviation. Under Gaussian noise scenarios, the performance is compared to dictionary learning (DL) based denoising, standard Bilateral Filter with Noise Thresholding (BFMT), and Wavelet thresholding (WT) methods using real seismic images. Our proposed method exhibits the closest performance to the DL based denoising compared to GBF and WT methods with a significantly reduced computational load.","PeriodicalId":162584,"journal":{"name":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132753480","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

Simulation of the Measurer of the Time of Appearance and the Average Power of the Random Pulse Signal 随机脉冲信号出现时间和平均功率测试仪的仿真

2019 5th International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2019-09-01 DOI: 10.1109/icfsp48124.2019.8938058

O. Chernoyarov, A. Salnikova, A. Makarov

引用次数: 2

Head Motion Classification for Single-Accelerometer Virtual Reality Hardware 单加速度计虚拟现实硬件的头部运动分类

2019 5th International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2019-09-01 DOI: 10.1109/icfsp48124.2019.8938052

T. Hachaj, M. Ogiela

{"title":"Head Motion Classification for Single-Accelerometer Virtual Reality Hardware","authors":"T. Hachaj, M. Ogiela","doi":"10.1109/icfsp48124.2019.8938052","DOIUrl":"https://doi.org/10.1109/icfsp48124.2019.8938052","url":null,"abstract":"Head motions classification applied to virtual reality (VR) systems is still an open problem without a leading pattern recognition solution. In contrary to typical motion capture pattern recognition problem in this case we use only single inertial measurement unit (IMU) sensor. Head motions that we want to recognize in VR systems might be both natural head motions like nodding or shaking head (they might be used while interacting with VR avatars) and also elements of head-based navigation system or interface. The second type of actions is more challenging because it might contains actions that generate motion trajectories that do not appear in real-life, though they have to be possible to execute only by using a head. In this paper we propose a trajectory-based motion features description that is utilized by dynamic time warping (DTW) classificator. The training of the classificator requires using modified dynamic time warping barycenter averaging (DBA) heuristic algorithm which utilizes quaternions to represents rotations. The proposed pattern recognition system together with its evaluation on the set of head motions acquired by VR system is our original contribution. We have evaluated our method on dataset consisted of 8 types of motions performed by two persons (there are 160 motions samples). In leave-one-out evaluation we have obtained very good results: only 10% of one and 15% of another action has been incorrectly classified, while remaining 6 actions classes had been 100% correctly classified. Both dataset and implementation of proposed method can be downloaded, due to this our experiment can be reproduced.","PeriodicalId":162584,"journal":{"name":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"07 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127195895","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

A Method of Parameter Estimation and Suppression for Smeared Spectrum Jamming 一种模糊频谱干扰参数估计与抑制方法

2019 5th International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2019-09-01 DOI: 10.1109/icfsp48124.2019.8938071

Chuanzhang Wu, Baixiao Chen, Minglei Yang, Mei Dong

引用次数: 1

Two-Way Full-Duplex Massive MIMO Relaying with Correlated Multi-Antenna User Pairs 具有相关多天线用户对的双向全双工大规模MIMO中继

2019 5th International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2019-09-01 DOI: 10.1109/icfsp48124.2019.8938096

M. Zaher, A. El-Mahdy

引用次数: 3

Optimal Parameter Selection in Hyperspectral Classification Based on Convolutional Neural Network 基于卷积神经网络的高光谱分类参数优选

2019 5th International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2019-09-01 DOI: 10.1109/icfsp48124.2019.8938098

Qiaoqiao Sun, Xuefeng Liu, S. Bourennane

引用次数: 0

Gait-based Gender Classification Using Smartphone Accelerometer Sensor 基于智能手机加速度传感器的步态性别分类

2019 5th International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2019-09-01 DOI: 10.1109/icfsp48124.2019.8938033

A. Sabir, H. Maghdid, S. M. Asaad, M. Ahmed, Aras T. Asaad

{"title":"Gait-based Gender Classification Using Smartphone Accelerometer Sensor","authors":"A. Sabir, H. Maghdid, S. M. Asaad, M. Ahmed, Aras T. Asaad","doi":"10.1109/icfsp48124.2019.8938033","DOIUrl":"https://doi.org/10.1109/icfsp48124.2019.8938033","url":null,"abstract":"People gender and activities recognition are becoming a hot topic in our daily applications through gait information. The very well-known applications are safety-health, security, entertainment and billing. Numerous data mining and machine learning algorithms have been proposed for such issue. Equally, many technologies could be used to observe the people activities to identify their gender and activities. However, the existing solutions and applications suffer from privacy and cost to deploy the solution and their obtained accuracy. For example, when the CCTV camera or Kinect sensors technology are used to identify people, such technologies will violate the privacy since most of the people do not want to take their pictures or videos during their daily activities. Therefore, to tackle such issue, this paper presents a new scheme to identify the gender of the people via onboard Smartphone sensors including accelerometer sensor. Such a scheme requires little interaction with the people; individuals would simply have to hold his/her smartphone and walk normally. Four different data mining techniques and machine learning algorithms are used to identify people gender including: Decision Tree (DT), Support Vector Machine (SVM), k-Nearest Neighbor (k-NN) and Deep learning algorithm (recurrent-neural-network long-short-term-memory ‘RNN-LSTM’). Further, a set of experiments are conducted via Android-based smartphones (to read smartphone accelerometer sensor) and MATALB-2018a packages used to perform the validity of the scheme. The obtained results from the experiments show that the accuracy of the gender identification is about 94.11% via deep learning algorithm (RNN-LSTM) and is around 83.75% by using DT algorithm.","PeriodicalId":162584,"journal":{"name":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131567714","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: 13

Improvement of Indoor RF Coverage Assessment in 3G/4G Mobile Networks 3G/4G移动网络室内射频覆盖评估的改进

2019 5th International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2019-09-01 DOI: 10.1109/icfsp48124.2019.8938041

Brice A. Elono Ongbwa, A. Kora, Walter L. Ngouamo Tateu

{"title":"Improvement of Indoor RF Coverage Assessment in 3G/4G Mobile Networks","authors":"Brice A. Elono Ongbwa, A. Kora, Walter L. Ngouamo Tateu","doi":"10.1109/icfsp48124.2019.8938041","DOIUrl":"https://doi.org/10.1109/icfsp48124.2019.8938041","url":null,"abstract":"Most of mobile communications are done inside buildings and telecom operators pay close attention on indoor Radio Frequency (RF) coverage in order to provide suitable Quality of Service (QoS) and Quality of Experience (QoE). Due to buildings openings, huge signal attenuation can be observed depending on the height at which the Mobile Equipment (ME) is located from the ground. Unfortunately, RF engineers pay less attention to this height selection, and this can greatly impact the reliability of results. In addition, Special Drive Test Route (SDTR) provides good results for indoor RF coverage assessment as compared to random methods, but the impact of itineraries direction was not covered. Thus, the impacts of mobile equipment height position from ground and SDTR itineraries direction have been deeply studied. As a result, worst signal power is always observed when the ME is located at ground level and we recommend this position as reference while performing indoor RF coverage assessment. Also, by carefully choosing itinerary path direction, results reliability can be improved by 67.5%.","PeriodicalId":162584,"journal":{"name":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"332 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123516922","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

A Novel Calibration Algorithm for Timing Mismatch in Time-Interleaved ADCs 一种新的时间交错adc时序失配校正算法

2019 5th International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2019-09-01 DOI: 10.1109/icfsp48124.2019.8938053

Yu Cao, Peng Miao, Fei Li

{"title":"A Novel Calibration Algorithm for Timing Mismatch in Time-Interleaved ADCs","authors":"Yu Cao, Peng Miao, Fei Li","doi":"10.1109/icfsp48124.2019.8938053","DOIUrl":"https://doi.org/10.1109/icfsp48124.2019.8938053","url":null,"abstract":"Timing skews often generate undesirable spurs in time-interleaved ADCs (TIADC) and degrade the systems' performance seriously. In this paper, an efficient background timing skew calibration algorithm is proposed to minimize its effects. The proposed Algorithm detects the sampling-time mismatches between sub-ADCs by estimating the skew-related errors with a reference channel and aligns the sampling edge of each sub-ADC to that of the reference channel by analog variable-delay lines in the negative feedback loop. Compared with conventional background calibration methods based on complex algorithms or serious input restrictions, the proposed technique detects timing skews by only negligible hardware consisting of simple digital blocks and is applicable for a wide range of input including completely random signals. The detailed theoretical analysis and sufficient simulated results revealed that this calibration algorithm can greatly attenuate skew-related spurs and improve the property of the TIADC system significantly. What's more, it's not sensitive to some non-ideal components in actual circuits like mismatches between channels or jitters in clock circuits, which verifies the practicability and robustness of this method.","PeriodicalId":162584,"journal":{"name":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122085016","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

First and Second Order Gradients for Alzheimer's Disease Diagnosis 阿尔茨海默病诊断的一阶和二阶梯度

2019 5th International Conference on Frontiers of Signal Processing (ICFSP) Pub Date : 2019-09-01 DOI: 10.1109/icfsp48124.2019.8938031

Xiaoxi Pan, M. Adel, C. Fossati, T. Gaidon, J. Wojak, E. Guedj

引用次数: 0