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检索条件"任意字段=2018 3rd International Conference on Communication,Image and Signal Processing（CCISP 2018）"

共 158 条记录，以下是81-90 订阅

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A Noise Reduced Hard Thresholding method for Noisy Sparse Reconstruction 3

A Noise Reduced Hard Thresholding method for Noisy Sparse Re...

引用

3rd international conference on Recent Advancements and Effectual Researches in Engineering Science and Technology, RAEREST 2018

作者： Sabarinath, G. Jose, Babita R. Dept. of Electronics and Communication Engineering St. Joseph's College of Engineering and Technology Palai Kerala India Division of Electronics CUSAT Kochi Kerala India

The problem of noisy sparse signal recovery has been studied in this paper. The generalized expectation maximization (GEM) algorithm provides solutions over state of the art convex relaxation methods for sparse signal recovery by considering the noisy measurements as missing data. However, in the case of images, artifacts in the reconstructed signal renders it to have low quality, especially based on qualitative performance metrics and so are unsuitable for further application specific processing. The problem may be reduced significantly by minimizing the total variation in the signal considering the constraints created by the statistics of noise in the reconstructed image. A modified iterative GEM for low noise reconstruction is presented and analyzed. Even though time consuming, simulations and numerical analysis show significantly higher performance metrics, especially PSNR and Structural Similarity, which imply reconstructed images may be suitable for further processing. © Published under licence by IOP Publishing Ltd.

关键词： image reconstruction

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Automatic language identification for Berber and Arabic languages using prosodic features 3

Automatic language identification for Berber and Arabic lang...

引用

3rd international conference on Electrical Sciences and Technologies in Maghreb, CISTEM 2018

作者： Lounnas, Khlaed Demri, Lyes Falek, Leila Teffahi, Hocine Laboratory of Spoken Communication and Signal Processing USTHB Algiers Algeria

ISBN: (纸本)9781538649879

This paper describes the design of an automatic identification system for the distinction between two common languages in Algeria which are MSA (Modern Standard Arabic) and Kabyle which is an Algerian Berber dialect. The characteristics used for this are prosodic (melody and stress) and cepstral (Mel Frequency Cepstral Coefficients) features extracted from a bilingual database formed by combining two databases. For the classification step Support vector machines are trained for language modeling because it is a recognition of two languages which puts him in a better position to establish this task. Experiments have shown the superior reliability of our system when using both types of characteristics when compared to the use of each type separately. It was found that when using prosodic characteristics the system gives an encouraging rate of 95.42% which was improved to 95.83% when adding acoustic features and 97.5% (so an improvement of 1.67%) when combining prosodic and acoustic features which has shown the superiority of this vector over those previously cited. © 2018 IEEE.

关键词： Support vector machines

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Bearing fault diagnosis using TQWT based Entropy features 3

Bearing fault diagnosis using TQWT based Entropy features

引用

3rd IEEE international conference on Recent Trends in Electronics, Information and communication Technology, RTEICT 2018

作者： Dovedi, Tanvi Upadhyay, Rahul Thapar Institute of Engineering and Technology Electronics and Communication Engineering Department Patiala Punjab India

ISBN: (纸本)9781538624401

The rolling element bearing plays a significant role in any mechanical manufacturing industry. Bearing fault diagnosis using vibration signal processing has been a vital subject of study over past many years. In present work, an automated bearing fault diagnosis technique using Tunable Q-factor Wavelet Transform based time-frequency decomposition is proposed. Proposed technique is carried out in three methodological steps. Firstly, vibration signals are decomposed into time-frequency coefficients using Tunable Q-factor Wavelet Transform. Further, entropy based features are computed from decomposed time-frequency coefficients as features of vibration signals in second step. In the third step, classification of vibration signals is performed using three soft computing methods viz. Support Vector Machine, Artificial Neural Network and Random Forest Tree classifier. Classification results revealed that presented methodology has potential to design and develop a real time bearing fault diagnosis system. In present work, classification accuracy of 100% is achieved using Support Vector Machine Classifier. © 2018 IEEE.

关键词： Failure analysis

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Detection of possibility of laryngeal cancer through mel frequency cepstrum coefficient analysis 3

Detection of possibility of laryngeal cancer through mel fre...

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3rd IEEE international conference on Recent Trends in Electronics, Information and communication Technology, RTEICT 2018

作者： Kavya, S. Shivram, Raghuram B.M.S College of Engineering Dept. of Electronics and Communication Engineering Bangalore India

ISBN: (纸本)9781538624401

Laryngeal Cancer is a condition in which cancerous cells are formed in larynx. Notable symptoms are hoarseness in the voice, sore throat, trouble or pain while swallowing and ear pain. The detection of the modification in voice through Acoustic analysis can serve as a complement to other medical procedures. The novelty of the paper lies in utilizing Mel Frequency Cepstrum Coefficients (MFCC) for detection of Laryngeal cancer. This method for detection of laryngeal cancer was not researched, traditionally the detection of Laryngeal cancer was only possible through clinical examination. In the proposed method, the analysis is carried out by comparing the coefficients of voices of patient affected by Laryngeal Cancer to that of normal human voice. The study involves conversion of voice signal to parametric representation. On further processing, it was observed that there was significant deviation in the vital coefficients of cancerous voice as compared to that of normal voice and the initial results show that the possibility of detection was found to be 100% in a dataset comprising of 60 samples. © 2018 IEEE.

关键词： Fast Fourier transforms

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A Method for the Investigation of Bearing Vibration Based on Spectrogram image Comparison 3

A Method for the Investigation of Bearing Vibration Based on...

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3rd international conference on Recent Advancements and Effectual Researches in Engineering Science and Technology, RAEREST 2018

作者： Arun, P. Madhukumar, S. Careena, P. Department of Electronics and Communication Engineering St. Joseph's College of Engineering and Technology Palai686 579 India Department of Electronics and Communication Engineering Amal Jyothi College of Engineering Kerala686518 India

ISBN: (纸本)9781510870260

The possibility of analyzing the condition of bearing systems from the vibrations generated during their operation, by means of signal processing methods, has been of extensive research, over last few years. As, vibration signal is highly non-stationary, time as well as frequency domain features cannot designate its behavior well. Though, Spectrogram is a time-frequency domain feature extraction method, its analysis is tedious and maybe, subjective. In the proposed method, the spectrogram images of the normal vibration data is compared with that of the contextual vibration, using Peak signal-To-Noise Ratio (PSNR). It has postulated that, the pattern similarity between the contextual spectrogram and baseline is little when the bearing is faulty. The PSNR between the spectrogram image of normal bearing vibration data and the baseline is different from those between the baseline and vibration data corresponding to Inner Race Failure (IRF), Roller Element Defect (RED) and Outer Race Failure (ORF).The PSNR analogous to the vibrations picked up from normal and faulty bearings vary with a P value of 4.58445 × 10-20. The method can discriminate faulty bearings with, 96.77% sensitivity and 100% specificity. © Published under licence by IOP Publishing Ltd.

关键词： signal to noise ratio

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Multi-channel linear prediction speech dereverberation algorithm based on QR-RLS adaptive filter 18

Multi-channel linear prediction speech dereverberation algor...

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3rd international conference on Multimedia Systems and signal processing, ICMSSP 2018

作者： Sun, Xuguang Zhou, Yi Shu, Xiaofeng School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongwen Road No. 2 Nan-an district Chongqing China

ISBN: (纸本)9781450364577

This paper proposes a multi-channel linear prediction (MCLP) speech dereverberation algorithm based on QR-decomposition recursive least squares (QR-RLS) adaptive filter, which can avoid the possible instability caused by the RLS algorithm, and achieve same speech dereverberation performance as the prototype MCLP dereverberation algorithm based on RLS. This can be confirmed by the theoretical derivation and experiments. Thus, the proposed algorithm can be a good alternative for practical speech applications. © 2018 Association for Computing Machinery.

关键词： Adaptive filters

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Full Duplex and Pattern Reconfigurable System Antenna Design for 5G Wireless communications Systems Using a Quadrature 3 dB Coupler 3

Full Duplex and Pattern Reconfigurable System Antenna Design...

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3rd IEEE international conference on Wireless communications, signal processing and Networking, WiSPNET 2018

作者： Sane, Lamine Dioum, Ibra Tall, Khaly Mansour Khouma, M. Diallo, Kadidiatou Farssi, Sidi Mohamed Ecole Supérieure Polytechnique Université Cheikh Anta Diop Dakar Senegal

ISBN: (纸本)9781538636244

This paper presents a full duplex and reconfigurable pattern system antenna design for 5G wireless communications systems. The proposed system is a MIMO 2 × 2 antenna operating at the central frequency 2.622 GHz of the LTE2500 band. A quadrature 3 dB coupler is used to achieve configurability. The proposed coupler allows also to have a high isolation of 58 dB needed for Full Duplex communication. Four patterns configurations are obtained with four combinations. The proposed antenna has 65 MHz bandwidth, 80% efficiency and achieve 4.18 dB of gain. © 2018 IEEE.

关键词： MIMO systems

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Computer communication, Networking and Internet Security: Proceedings of IC3T 2016

引用

2018年

作者： Suresh Chandra Satapathy Vikrant Bhateja K Srujan Raju B Janakiramaiah

ISBN: (纸本)9789811098208

The book is a compilation of high-quality scientific papers presented at the 3rd international conference on Computer & communication Technologies (IC3T 2016). The individual papers address cutting-edge technologies and applications of soft computing, artificial intelligence and communication. In addition, a variety of further topics are discussed, which include data mining, machine intelligence, fuzzy computing, sensor networks, signal and image processing, human-computer interaction, web intelligence, etc. As such, it offers readers a valuable and unique resource.

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A Statistical signal processing Approach in Wireless Network Traffic Analysis

A Statistical Signal Processing Approach in Wireless Network...

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international conference on Computing, Power and communication Technologies (GUCON)

作者： Chowdhury, Sajib Paul, Swagata Chatterjee, Debraj Mukherjee, Somenath Ghosal, Sandipan Goswami, Radha Tamal Techno India Coll Technol Dept Comp Sci & Engn Kolkata 700156 India

ISBN: (纸本)9781538644911

Two vital statistics of wireless network namely peak hour call initiated and call drop have been chosen to examine the self similarity and stationarity behaviour of typical wireless network data in this paper. The scaling pattern and nature of fluctuating frequency are exposed through these two parameters. For exposing the scaling nature of the time series that has been taken from the period 3rd March, 2005 to 31st October, 2015, from the local mobile switching server. Statistical methodologies like Rescaled Analysis (R/S) and General Hurst Estimation (GHE) method are being used to detect the scaling nature of the data-series. Both the time series represent the Short Range Dependency (Srd) and anti-persistency behaviour. The stationarity or non-stationarity behaviour of the time series have been examined by Kwiatkowski Phillips Schmidt Shin (KPSS) test and Continuous Wavelet Transform (CWT). Here both the time series shows non stationarity behaviour.

关键词： Hurst Exponent Generalized Hurst Estimation (GHE) Resealed Range analysis(R/S) KPSS CWT

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3rd international Symposium on signal processing and Intelligent Recognition Systems, SIRS 2017

3rd International Symposium on Signal Processing and Intelli...

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3rd international Symposium on signal processing and Intelligent Recognition Systems, SIRS 2017

ISBN: (纸本)9783319679334

The proceedings contain 41 papers. The special focus in this conference is on signal processing and Intelligent Recognition Systems. The topics include: Removal of BW and respiration noise in abdECG for f ECG extraction;early stage detection of diabetic retinopathy using an optimal feature set;exploring cepstral coefficient based sleep stage scoring method for single-channel EEG signal using machine learning technique;non linear tracking using unscented kalman filter;an analysis on the influence that the position and number of control points have on MLS registration of medical images;component characterization of western and indian classical music;an experimental setup of DSA algorithm suitable for high bandwidth data transfer using USRP and GNU radio companion;influence of filter bank structure on the statistical significance of coefficients in cepstral analysis for acoustic signals;particle filtering technique for fast fading shadow power estimation in wireless communication;object detection and localization using compressed sensing;an improved approach for securing document images using dual cover;dependency of various color and intensity planes on CNN based image classification;epigraphic document image enhancement using retinex method;improved microaneurysm detection in fundus images for diagnosis of diabetic retinopathy;swarm robots in a closed loop visual odometry system by using visible light communication;an adaptive neuro-fuzzy inference system based situation awareness assessment in VLC enabled connected cars;identifying issues in estimating parameters from speech under lombard effect and a model for an emotional respondent robot.

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