2019 National Conference on Communications (NCC)最新文献_第4页

Unsupervised GIST based Clustering for Object Localization 基于无监督GIST的对象定位聚类

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732251

S. Shah, Kunal Khatri, Purva Mhasakar, R. Nagar, S. Raman

引用次数: 1

Edge Preserved Herringbone Artifact Removal from MRI Using Two-Stage Variational Mode Decomposition 利用两阶段变分模态分解去除MRI中保留边缘的人字形伪影

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732256

Divya Pankaj, D. Govind, K. Narayanankutty

{"title":"Edge Preserved Herringbone Artifact Removal from MRI Using Two-Stage Variational Mode Decomposition","authors":"Divya Pankaj, D. Govind, K. Narayanankutty","doi":"10.1109/NCC.2019.8732256","DOIUrl":"https://doi.org/10.1109/NCC.2019.8732256","url":null,"abstract":"Magnetic Resonance Imaging (MRI) is an efficient and non-invasive method for analyzing the structural features and functional behaviors of internal organs and tissues for medical diagnosis. The artifacts present in MRI mislead the diagnostic procedure. Herringbone artifact is a hardware artifact generated from the outlier in k-space measurement. In realtime MRI, the herringbone artifact has non-stationary noise characteristics. The non-stationary noise characteristics affect the high-frequency characteristics which in turn results in an improper estimation of structural details of the image in the processing stage. The objective of the present work is to exploit the properties of the variational mode decomposition (VMD) in reducing the effective herringbone noise at selected spectral regions (high-frequency regions in particular) of the given MRI data. In the present work, the given herringbone artifact affected image is subjected to VMD in two stages. The reconstructed image by removing the higher frequency VMD modes in two-stages found to enhance the noisy MRI data. In the second stage of processing, the discarded higher frequency VMD mode in the first stage is further decomposed into component modes in order to preserve the high-frequency details. The enhanced image is later reconstructed by adding low-frequency modes obtained in both decomposition stages. The effectiveness of the proposed two-stage VMD based enhancement is confirmed from the improved scores obtained from the non-reference quality measures such as Blind Referenceless Image Spatial Quality Evaluator (BRISQUE) and Naturalness Image Quality Evaluator (NIQE).","PeriodicalId":6870,"journal":{"name":"2019 National Conference on Communications (NCC)","volume":"190 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83878527","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

Performance Analysis of Wireless Powered Decode-and-Forward Relay System 无线供电译码转发中继系统性能分析

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732244

Pawan Kumar, Kalpana Dhaka

引用次数: 1

Slit Loaded Circular Ultra Wideband Antenna for Band Notch Characteristics 带陷波特性的缝载圆形超宽带天线

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732202

A. Kadam, A. Deshmukh, S. Deshmukh, Akshay Doshi, K. P. Ray

引用次数: 4

On the Optimality of Simple Han-Kobayashi Schemes for Gaussian Interference Channels 高斯干涉信道中简单Han-Kobayashi格式的最优性

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732233

Ragini Chaluvadi, S. Bhashyam

引用次数: 0

Performance Evaluation of Visible Light Communication for DCO and ACO Optical OFDM Techniques DCO和ACO光OFDM技术的可见光通信性能评价

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732220

Mahendra P. S. Bhadoria, G. Pandey, A. Dixit

{"title":"Performance Evaluation of Visible Light Communication for DCO and ACO Optical OFDM Techniques","authors":"Mahendra P. S. Bhadoria, G. Pandey, A. Dixit","doi":"10.1109/NCC.2019.8732220","DOIUrl":"https://doi.org/10.1109/NCC.2019.8732220","url":null,"abstract":"Visible light communication (VLC) has evolved as a relatively new research topic that employs white light-emitting diodes for data transmission. The basic requirement for optical transmission is that signal should be real and positive. Among the various developed modulation techniques for VLC, orthogonal frequency division multiplexing (OFDM) has drawn major consideration because of its high data rate and heftiness to inter-symbol interference (ISI), but it suffers from the problem of high peak to average power ratio (PAPR), causing signal distortion thereby effecting the system efficiency. In this paper, asymmetrically clipped optical OFDM (ACO-OFDM) and direct current biased optical OFDM (DCO-OFDM) for VLC have been investigated by evaluating its bit error rate (BER) and PAPR performance. The effect of the uncorrelated noise due to dual-sided clipping of the signal, modulation order and number of subcarriers on the symbol distortion is also studied. Study on selection of optimum clipping levels is done to reduce the PAPR for both the schemes. Simulation analysis implies that ACO-OFDM is better than DCO-OFDM by around 4.5 dB for a BER of $pmb{1times 10^{-3}}$ and by about 2 dB for a PAPR complementary cumulative distribution function (CCDF) of $pmb{1times 10^{-1}}$.","PeriodicalId":6870,"journal":{"name":"2019 National Conference on Communications (NCC)","volume":"190 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76948630","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

A weighted optimization for Fourier Ptychographic Microscopy 傅里叶显微成像的加权优化

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732227

Parimala Kancharla, Sumohana S. Channappayya

引用次数: 0

Improved Epoch Extraction From Speech Signals Using Wavelet Synchrosqueezed Transform 基于小波同步压缩变换的改进语音信号历元提取

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732259

D. Govind, S. Priya, S. Akarsh, B. G. Gowri, K. Soman

{"title":"Improved Epoch Extraction From Speech Signals Using Wavelet Synchrosqueezed Transform","authors":"D. Govind, S. Priya, S. Akarsh, B. G. Gowri, K. Soman","doi":"10.1109/NCC.2019.8732259","DOIUrl":"https://doi.org/10.1109/NCC.2019.8732259","url":null,"abstract":"Synchrosqueezed wavelet transform (WSST) is an effective tool in tracking instantaneous frequency of a given signal. The objective of the present work is to propose a WSST based method for accurate epoch estimation from speech. Epochs in speech represent the instants where the excitation to the vocaltract is maximum and instantaneous $F_{0}$ contour is derived from epoch locations. The proposed hypothesis in this paper is that the signal reconstructed by discarding higher frequency modes (above the mean $F_{0}$) in the WSST transformed time frequency domain observed to predominantly represent source characteristics. The presence of the source characteristics in the modified WSST reconstructed signal is validated by the improved identification accuracy obtained for the epochs estimated from clean speech utterances of CMU-Arctic database. To further demonstrate the effectiveness of the WSST in improving the overall epoch estimation performance, a WSST modified zero frequency filtering (ZFF) of speech, which is one of the simple and effective tools for epoch extraction, is proposed. The sharp instantaneous frequency representation by WSST also found to be effective in estimating epochs emotion utterances where rapid pitch variations are present. The improved epoch estimation performance from emotive utterances are confirmed by validating on the German emotion speech corpus(EmoDb).","PeriodicalId":6870,"journal":{"name":"2019 National Conference on Communications (NCC)","volume":"57 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78116893","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

Analysis and Resonant Length Formulation of Dual Band Microstrip Antenna with Modified Ground 修正接地条件下双频微带天线的分析与谐振长度公式

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732195

P. Kadam, S. Deshmukh, A. Deshmukh, Akshay Doshi

引用次数: 0

Deep Learning-Based Modulation Classification Using Time and Stockwell Domain Channeling 基于时间和斯托克韦尔域信道的深度学习调制分类

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732258

S. Hiremath, Sambit Behura, Subham Kedia, Siddharth Deshmukh, S. K. Patra

{"title":"Deep Learning-Based Modulation Classification Using Time and Stockwell Domain Channeling","authors":"S. Hiremath, Sambit Behura, Subham Kedia, Siddharth Deshmukh, S. K. Patra","doi":"10.1109/NCC.2019.8732258","DOIUrl":"https://doi.org/10.1109/NCC.2019.8732258","url":null,"abstract":"Deep learning techniques have recently exhibited unprecedented success in classification problems with ill-defined mathematical models. In this paper, we apply deep learning for RF data analysis and classification. We present a novel method of using I-Q time samples to form images with ‘Time and Discrete Orthonormal Stockwell Transform Domain Channels’ which are used for training a convolutional neural network (CNN) for radio modulation classification. Also, a concept inspired from transfer learning is used in extending the number of output classes of the CNN, which helps the network to estimate the approximate SNR of the input signal as well and further improve the classification accuracy. Such a network trained on Time and Stockwell Channeled Images performs superior to similar networks that are trained on just raw I-Q time series samples or time-frequency images, especially when training samples are less. The network achieved an overall classification accuracy of 97.3% at 8 dB SNR over a class of 10 radio modulation schemes (for both digital and analog systems). The study shows that such a trained network can be well applied to achieve high classification accuracies at low and moderate SNR scenarios.","PeriodicalId":6870,"journal":{"name":"2019 National Conference on Communications (NCC)","volume":"99 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90456776","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: 14