2015 Twenty First National Conference on Communications (NCC)最新文献_第8页

An efficient heuristics to realize near-optimal small-world networks 一种实现近最优小世界网络的有效启发式算法

2015 Twenty First National Conference on Communications (NCC) Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084862

Abhishek Chakraborty, B. S. Manoj

引用次数: 3

A new decimation and interpolation algorithm and an efficient lossless compression technique for images 一种新的图像抽取插值算法和高效无损压缩技术

2015 Twenty First National Conference on Communications (NCC) Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084824

P. Prabhakaran, G. PoonachaP.

{"title":"A new decimation and interpolation algorithm and an efficient lossless compression technique for images","authors":"P. Prabhakaran, G. PoonachaP.","doi":"10.1109/NCC.2015.7084824","DOIUrl":"https://doi.org/10.1109/NCC.2015.7084824","url":null,"abstract":"Efficient lossless compression using decimation and interpolation algorithms with low complexity and high quality is an important goal for multi-media distribution over the internet. This is because content is consumed at different sizes and over networks with different bandwidths. It is also because informational content, large screen advertisements, professional video and high quality computer animation have different quality requirements. In this paper we propose and study a novel decimation and interpolation scheme. Our method compares well in terms of PSNR with well-known Bi-cubic interpolation as well as other computationally more expensive methods available in the literature. We have compared the efficiency of our method with Bi-cubic in terms of computational complexity. In the second part of the paper we have used our decimation and interpolation scheme for developing a new lossless compression technique for images. This falls broadly under the spatial hierarchy schemes. Literature consists of many attempts to use decimation and interpolation for lossy compression of images. We have compared the efficiency of our method with Bi-cubic interpolation based approach. On an average our method has better compression efficiency than methods like lossless JPEG. Our experimental results show that ZIP, PNG and TIFF are 27%, 57% and 42% poorer in terms of compression efficiency respectively. However, this comes at the cost of increased computational complexity.","PeriodicalId":302718,"journal":{"name":"2015 Twenty First National Conference on Communications (NCC)","volume":"509 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134261358","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

Speaker change detection using excitation source and vocal tract system information 利用激励源和声道系统信息检测说话人变化

2015 Twenty First National Conference on Communications (NCC) Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084869

Mousmita Sarma, Sree Nilendra Gadre, B. Sarma, S. Prasanna

{"title":"Speaker change detection using excitation source and vocal tract system information","authors":"Mousmita Sarma, Sree Nilendra Gadre, B. Sarma, S. Prasanna","doi":"10.1109/NCC.2015.7084869","DOIUrl":"https://doi.org/10.1109/NCC.2015.7084869","url":null,"abstract":"The speaker change information in speech is due to both vocal tract and excitation source information. In this work, the excitation source information is extracted by computing cepstral features from the zero frequency filtered speech (ZFFS) signal. The vocal tract system information is extracted by computing cepstral features from the speech signal. The speaker change evidences obtained from these two feature sets are combined and observed that they contain complementary information for speaker change detection. The popular distance metric based algorithms, Bayesian Information Criteria (BIC) and Kullback Leibler Divergence (KLD) are used to detect the speaker change evidences. The Miss Detection Rate (MDR) of BIC based algorithm using cepstral features obtained from speech is 24.18% and from ZFFS is 25.92%, respectively. When the two sets of evidences are combined, the MDR reduces to 15.89%. Similarly, individual MDR of KLD based algorithm from speech and ZFFS are 32.24% and 45.17%, respectively, where as the combination reduces the MDR to 19.67%. Experiments are also performed with noisy speech signal and similar reduction of MDR is observed. This demonstrates the usefulness of cepstral features from the excitation source signal for reducing MDR.","PeriodicalId":302718,"journal":{"name":"2015 Twenty First National Conference on Communications (NCC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133626339","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

Characterizing glottal activity from speech using Empirical Mode Decomposition 利用经验模态分解表征语音中的声门活动

2015 Twenty First National Conference on Communications (NCC) Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084821

Rajib Sharma, S. Prasanna

{"title":"Characterizing glottal activity from speech using Empirical Mode Decomposition","authors":"Rajib Sharma, S. Prasanna","doi":"10.1109/NCC.2015.7084821","DOIUrl":"https://doi.org/10.1109/NCC.2015.7084821","url":null,"abstract":"Glottal activity is an important aspect of speech production that results in voiced speech, and localizing such regions for computing various parameters of the excitation source is useful in many speech processing applications. The aim of this paper is to investigate the ability of Empirical Mode Decomposition (EMD) and its noise assisted variants, in characterizing glottal activity from the speech signal. A pair of consecutive Intrinsic Mode Functions (IMFs), obtained from the decomposition is found to reflect the periodic nature of different voiced regions of the speech signal. This IMF pair is utilized to construct a signal, named the Glottal Intrinsic Mode Function (GIMF), which represents most of the voiced speech regions. To measure the capability of the GIMF in representing the glottal activity, it is applied to the tasks of Glottal Activity Detection (GAD), pitch frequency (F0) tracking and detecting pitch markers. The results ascertain the capability of EMD in localizing Glottal activity within a small subset of IMFs, and suggest the possibility of accurately extracting source-information from voiced speech with simple signal processing procedures.","PeriodicalId":302718,"journal":{"name":"2015 Twenty First National Conference on Communications (NCC)","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133068159","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

Multi-channel vibro-acoustic fault analysis of ball bearing using wavelet based multi-scale principal component analysis 基于小波多尺度主成分分析的滚珠轴承多通道振动声故障分析

2015 Twenty First National Conference on Communications (NCC) Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084916

Satish Mohanty, K. K. Gupta, K. Raju

{"title":"Multi-channel vibro-acoustic fault analysis of ball bearing using wavelet based multi-scale principal component analysis","authors":"Satish Mohanty, K. K. Gupta, K. Raju","doi":"10.1109/NCC.2015.7084916","DOIUrl":"https://doi.org/10.1109/NCC.2015.7084916","url":null,"abstract":"Ball bearing fault segmentation at different time steps are important to avert failure. This paper studies the Vibro-acoustic characteristic of the ball bearing using Wavelet Based Multi Scale Principal Component Analysis (WMSPCA) and FFT. Firstly, the characteristic frequencies of the ball bearing for healthy and unhealthy states are verified using an impulse exciter hammer; and the generated frequencies are acquired using a Zigbee wireless accelerometer sensor. Secondly, the acoustic and vibration characteristics are acquired using three channel accelerometer sensor and a array microphone. Lastly, the actual characteristics of the ball bearing are extracted using WMSPCA. The main advantage of WMSPCA lies in the actual feature segmentation from different channels independent relative to the direction of propagation of faults. WMSPCA uses wavelet and PCA to auto-correlate and cross-correlate the signal simultaneously. The algorithm extracts the frequency range of operation of the ball bearing and assists in determining the precise frequency of vibration excluding its perplexed frequency components associated along tangential, axial and radial direction of the ball bearing. The paper also correlates the significance of acoustic-vibration in the fault finding of bearing.","PeriodicalId":302718,"journal":{"name":"2015 Twenty First National Conference on Communications (NCC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124558160","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: 10

Design and implementation of a soil moisture wireless sensor network 土壤湿度无线传感器网络的设计与实现

2015 Twenty First National Conference on Communications (NCC) Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084901

Jobish John, Vinay S. Palaparthy, S. Sarik, M. Baghini, G. Kasbekar

引用次数: 21

Designing a passive star optical network for the India-based Neutrino Observatory 为印度中微子天文台设计无源星光网络

2015 Twenty First National Conference on Communications (NCC) Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084900

V. Singh, N. Chandrachoodan, Anil Prabhakar

引用次数: 1

Compressed sensing framework of data reduction at multiscale level for eigenspace multichannel ECG signals 特征空间多通道心电信号多尺度数据约简压缩感知框架

2015 Twenty First National Conference on Communications (NCC) Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084918

Anurag Singh, Jiss J. Nallikuzhy, S. Dandapat

{"title":"Compressed sensing framework of data reduction at multiscale level for eigenspace multichannel ECG signals","authors":"Anurag Singh, Jiss J. Nallikuzhy, S. Dandapat","doi":"10.1109/NCC.2015.7084918","DOIUrl":"https://doi.org/10.1109/NCC.2015.7084918","url":null,"abstract":"Multichannel elctrocardiogram (MECG) signals are correlated both in spatial domain as well as in temporal domain and this correlation becomes even higher at multiscale levels. This work presents a MECG compression method in order to exploit the inherent inter-channel correlation more efficiently, using a multiscale compressive sensing (MSCS) based approach. Principal component analysis (PCA) is used to decorrelate the subband signals from different channels at each wavelet scale and then the significant eigenspace signals from higher frequency subbands are undergone through multiscale compressed sensing (CS). Since CS is well known for its effective representation of high dimensional sparse signals in terms of few random projections, here it confines the noise dominated high frequency clinical information of MECG signals to few compressed measurements which readily reduces the data size at the encoder side. Eigenspace is taken as the sparsifying basis for high frequency subband ECG signals. The proposed encoding strategy is implemented using a uniform scalar quantizer and a entropy encoder. Sparse signal recovery is done using a greedy sparse recovery algorithm called orthogonal matching pursuit (OMP). Performance evaluation of the coder is mainly carried out in terms of compression ratio (CR), root mean square difference (PRD), and wavelet energy based diagnostic distortion (WEDD). Simulation results give the lowest PRD value, 4.72% and WEDD value 3.28% at CR=10.84, for lead aVF for CSE multi-lead measurement library database.","PeriodicalId":302718,"journal":{"name":"2015 Twenty First National Conference on Communications (NCC)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132003774","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

Sparseland model for speckle suppression of B-mode ultrasound images b超图像散斑抑制的稀疏域模型

2015 Twenty First National Conference on Communications (NCC) Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084842

M. Srinivas, R. Bharath, P. Rajalakshmi, C. Mohan

引用次数: 1

Enhanced spectral efficiency for intensity modulated DWDM systems 增强了强度调制DWDM系统的频谱效率

2015 Twenty First National Conference on Communications (NCC) Pub Date : 2015-04-16 DOI: 10.1109/NCC.2015.7084818

Neeraj Sharma, R. Vij, N. Badhan

引用次数: 1