Pub Date : 2015-04-16DOI: 10.1109/NCC.2015.7084894
Siddharth J. Varughese, Varughese Mathew, Smaranika Swain, D. Venkitesh, R. D. Koilpillai
Realization of increased spectral efficiency with polarization multiplexing and advanced modulation formats require performance optimization at the transmitter and the receiver, considering the laser linewidth, chromatic dispersion, polarization mode dispersion and nonlinear effects. This paper addresses the performance optimization of a 200G system using PDM-16QAM. DSP algorithms for the mitigation of the phase noise of the laser, drifts in modulator bias, frequency drifts of the transmitter and receiver lasers are discussed in detail. Frequency domain and a time domain approach is discussed to compensate for the impairments introduced due to chromatic dispersion and polarisation mode dispersion. The performance of a complete 200G system in the presence of different impairments and the associated trade-offs are discussed in detail.
{"title":"200G system with PDM-16QAM: Performance evaluation and trade-offs","authors":"Siddharth J. Varughese, Varughese Mathew, Smaranika Swain, D. Venkitesh, R. D. Koilpillai","doi":"10.1109/NCC.2015.7084894","DOIUrl":"https://doi.org/10.1109/NCC.2015.7084894","url":null,"abstract":"Realization of increased spectral efficiency with polarization multiplexing and advanced modulation formats require performance optimization at the transmitter and the receiver, considering the laser linewidth, chromatic dispersion, polarization mode dispersion and nonlinear effects. This paper addresses the performance optimization of a 200G system using PDM-16QAM. DSP algorithms for the mitigation of the phase noise of the laser, drifts in modulator bias, frequency drifts of the transmitter and receiver lasers are discussed in detail. Frequency domain and a time domain approach is discussed to compensate for the impairments introduced due to chromatic dispersion and polarisation mode dispersion. The performance of a complete 200G system in the presence of different impairments and the associated trade-offs are discussed in detail.","PeriodicalId":302718,"journal":{"name":"2015 Twenty First National Conference on Communications (NCC)","volume":"803 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120935563","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}
Pub Date : 2015-04-16DOI: 10.1109/NCC.2015.7084887
A. Bhowmick, Sanjay Dhar Roy, S. Kundu
In this paper, we study a hybrid fusion scheme for cooperative spectrum sensing (CSS) where we combine the hard decisions and soft decisions from cognitive radio (CR) users based on quality of their reporting channel (R-channel). The CR users transmit their hard decisions if the estimated R-channel between them and the fusion centre (FC) exceeds censoring threshold else they send soft decision, i.e. the energy values. Based on the received hard decisions, the FC derives an intermediate hard decision using majority rules while an intermediate soft decision is obtained by combining the received soft decisions following MRC or EGC. Finally the FC combines the intermediate decisions via an OR rule to obtain the final decision regarding the primary user (PU). Analytical expressions have been developed as well as simulation has been carried out to evaluate the performance of the proposed scheme in presence of Rayleigh fading in both the sensing channel (S-channel) and R-channel, in terms of detection probability and total error probability. The performance of the proposed scheme is studied and compared for two cases of soft combining such as MRC with majority logic and EGC with majority logic. Furthermore, the scheme is compared with CSS using hard decision fusion based on censoring and CSS using soft decision fusion only. Impact of several parameters such as number of CRs, S-channel and R-channel SNR, censoring threshold, sensing threshold on the performance of the proposed scheme is shown. Our scheme outperforms the hard decision fusion with censoring of CRs in faded R-channel.
{"title":"A hybrid cooperative spectrum sensing for cognitive radio networks in presence of fading","authors":"A. Bhowmick, Sanjay Dhar Roy, S. Kundu","doi":"10.1109/NCC.2015.7084887","DOIUrl":"https://doi.org/10.1109/NCC.2015.7084887","url":null,"abstract":"In this paper, we study a hybrid fusion scheme for cooperative spectrum sensing (CSS) where we combine the hard decisions and soft decisions from cognitive radio (CR) users based on quality of their reporting channel (R-channel). The CR users transmit their hard decisions if the estimated R-channel between them and the fusion centre (FC) exceeds censoring threshold else they send soft decision, i.e. the energy values. Based on the received hard decisions, the FC derives an intermediate hard decision using majority rules while an intermediate soft decision is obtained by combining the received soft decisions following MRC or EGC. Finally the FC combines the intermediate decisions via an OR rule to obtain the final decision regarding the primary user (PU). Analytical expressions have been developed as well as simulation has been carried out to evaluate the performance of the proposed scheme in presence of Rayleigh fading in both the sensing channel (S-channel) and R-channel, in terms of detection probability and total error probability. The performance of the proposed scheme is studied and compared for two cases of soft combining such as MRC with majority logic and EGC with majority logic. Furthermore, the scheme is compared with CSS using hard decision fusion based on censoring and CSS using soft decision fusion only. Impact of several parameters such as number of CRs, S-channel and R-channel SNR, censoring threshold, sensing threshold on the performance of the proposed scheme is shown. Our scheme outperforms the hard decision fusion with censoring of CRs in faded R-channel.","PeriodicalId":302718,"journal":{"name":"2015 Twenty First National Conference on Communications (NCC)","volume":"38 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":"127894651","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}
Pub Date : 2015-04-16DOI: 10.1109/NCC.2015.7084926
K. Rout, R. Pappagari, K. Murty
The objective of this paper is to study the effect of speaking mode on spoken term detection (STD) system. The experiments are conducted with respect to query words recorded in isolated manner and words cut out from continuous speech. Durations of phonemes in query words greatly vary between these two modes. Hence pattern matching stage plays a crucial role which takes care of temporal variations. Matching is done using Subsequence dynamic time warping (DTW) on posterior features of query and reference utterances, obtained by training Multilayer perceptron (MLP). The difference in performance of the STD system for different phoneme groupings (45, 25, 15 and 6 classes) is also analyzed. Our STD system is tested on Telugu broadcast news. Major difference in STD system performance is observed for recorded and cut-out types of query words. It is observed that STD system performance is better with query words cut out from continuous speech compared to words recorded in isolated manner. This performance difference can be accounted for large temporal variations.
{"title":"Experimental studies on effect of speaking mode on spoken term detection","authors":"K. Rout, R. Pappagari, K. Murty","doi":"10.1109/NCC.2015.7084926","DOIUrl":"https://doi.org/10.1109/NCC.2015.7084926","url":null,"abstract":"The objective of this paper is to study the effect of speaking mode on spoken term detection (STD) system. The experiments are conducted with respect to query words recorded in isolated manner and words cut out from continuous speech. Durations of phonemes in query words greatly vary between these two modes. Hence pattern matching stage plays a crucial role which takes care of temporal variations. Matching is done using Subsequence dynamic time warping (DTW) on posterior features of query and reference utterances, obtained by training Multilayer perceptron (MLP). The difference in performance of the STD system for different phoneme groupings (45, 25, 15 and 6 classes) is also analyzed. Our STD system is tested on Telugu broadcast news. Major difference in STD system performance is observed for recorded and cut-out types of query words. It is observed that STD system performance is better with query words cut out from continuous speech compared to words recorded in isolated manner. This performance difference can be accounted for large temporal variations.","PeriodicalId":302718,"journal":{"name":"2015 Twenty First National Conference on Communications (NCC)","volume":"1 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":"128773955","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}
Pub Date : 2015-04-16DOI: 10.1109/NCC.2015.7084817
Saikat Majumder, Shrish Verma
Multiple description coding has emerged as an attractive framework for robust transmission of multimedia information over packet loss and fading wireless channels. Forward error correction (FEC) based multiple description coding enables generation of an arbitrary number of descriptions from a progressive image bitstream. These descriptions are formed using erasure protection properties of Reed-Solomon codes and each code is spread across multiple packets. The level of protection is determined based on the relative importance of the information symbols in the progressive bitstream. Each description is then encoded using concatenation of convolutional code and CRC. This paper proposes an iterative soft decision decoding by exchanging extrinsic information between Reed-Solomon code across packets and convolutional coded descriptions transmitted over wireless channels, in contrast to existing approaches where hard decision is performed on the outcome of the inner channel code and outer FEC (Reed-Solomon code) is used to fill-up the erased descriptions. The simulation results over Rayleigh flat fading channel show significant improvement in received PSNR compared to baseline system.
{"title":"Iterative decoding of FEC based multiple description codes for image transmission over wireless channel","authors":"Saikat Majumder, Shrish Verma","doi":"10.1109/NCC.2015.7084817","DOIUrl":"https://doi.org/10.1109/NCC.2015.7084817","url":null,"abstract":"Multiple description coding has emerged as an attractive framework for robust transmission of multimedia information over packet loss and fading wireless channels. Forward error correction (FEC) based multiple description coding enables generation of an arbitrary number of descriptions from a progressive image bitstream. These descriptions are formed using erasure protection properties of Reed-Solomon codes and each code is spread across multiple packets. The level of protection is determined based on the relative importance of the information symbols in the progressive bitstream. Each description is then encoded using concatenation of convolutional code and CRC. This paper proposes an iterative soft decision decoding by exchanging extrinsic information between Reed-Solomon code across packets and convolutional coded descriptions transmitted over wireless channels, in contrast to existing approaches where hard decision is performed on the outcome of the inner channel code and outer FEC (Reed-Solomon code) is used to fill-up the erased descriptions. The simulation results over Rayleigh flat fading channel show significant improvement in received PSNR compared to baseline system.","PeriodicalId":302718,"journal":{"name":"2015 Twenty First National Conference on Communications (NCC)","volume":"9 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":"130617604","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}
Pub Date : 2015-04-16DOI: 10.1109/NCC.2015.7084851
N. AparnaVishnu, S. Bhashyam
Amplify-and-forward (AF) relaying protocols are an important class of cooperative relaying protocols. Non-orthogonal AF (NAF) relaying, where the source sends new information while the relay forwards previously transmitted information, can achieve higher transmission rates than orthogonal relaying, where the source and relay do not transmit simultaneously. However, all the transmitted symbols in NAF relaying do not achieve full cooperative diversity. Precoding of symbols can address this problem. Recently, a coordinate interleaved NAF (CINAF) protocol has been proposed for NAF relaying with a single-antenna relay. In this paper, we extend this protocol to the multi-antenna relay (or multiple cooperative relays) setting. The linear transformation F used for amplifying at the relay is identified as an important component. Four designs for F are presented and compared extensively using simulations. The importance of channel state information (CSI) at the relay is studied. While full CSI about the source-relay channel is used, limited CSI about the relay-destination channel combined with antenna selection at the relay is observed to be sufficient to achieve most of the performance gain.
{"title":"Co-ordinate interleaved amplify-and-forward relaying with a multi-antenna relay","authors":"N. AparnaVishnu, S. Bhashyam","doi":"10.1109/NCC.2015.7084851","DOIUrl":"https://doi.org/10.1109/NCC.2015.7084851","url":null,"abstract":"Amplify-and-forward (AF) relaying protocols are an important class of cooperative relaying protocols. Non-orthogonal AF (NAF) relaying, where the source sends new information while the relay forwards previously transmitted information, can achieve higher transmission rates than orthogonal relaying, where the source and relay do not transmit simultaneously. However, all the transmitted symbols in NAF relaying do not achieve full cooperative diversity. Precoding of symbols can address this problem. Recently, a coordinate interleaved NAF (CINAF) protocol has been proposed for NAF relaying with a single-antenna relay. In this paper, we extend this protocol to the multi-antenna relay (or multiple cooperative relays) setting. The linear transformation F used for amplifying at the relay is identified as an important component. Four designs for F are presented and compared extensively using simulations. The importance of channel state information (CSI) at the relay is studied. While full CSI about the source-relay channel is used, limited CSI about the relay-destination channel combined with antenna selection at the relay is observed to be sufficient to achieve most of the performance gain.","PeriodicalId":302718,"journal":{"name":"2015 Twenty First National Conference on Communications (NCC)","volume":"181 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":"133969469","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}
Pub Date : 2015-04-16DOI: 10.1109/NCC.2015.7084895
Sandip Das, I. Chakrabarti, Suvra Shekhar Das
Frequency Domain Link Adaptation (FDLA) has been accepted as a promising technique to improve the spectral efficiency in Orthogonal Frequency Division Multiple Access (OFDMA) systems such as Long Term Evolution (LTE) and Worldwide Interoperability for Microwave Access (WIMAX). FDLA exploits the frequency domain channel variation by using adaptive bit and power loading scheme in frequency domain. In this paper, we propose a hardware efficient architecture of adaptive bit loading scheme and implement the same in FPGA. It is shown that the FPGA design provides power efficiency and lower latency implementation. The design is shown to be flexible and reconfigurable and is compatible with multiple standards with different configurations. In this work, two different FDLA algorithms are implemented. This design is implemented in Wireless Open Access Research Platform (WARP) which has virtex-4 FPGA in its core for processing. The design is tested for its over the air performance by integrating it with FPGA based MIMO-OFDMA testbed, developed on the WARP platform. Real time over the air performance results are presented for uncoded systems.
{"title":"Hardware implementation of Frequency Domain Link Adaptation for OFDMA based systems","authors":"Sandip Das, I. Chakrabarti, Suvra Shekhar Das","doi":"10.1109/NCC.2015.7084895","DOIUrl":"https://doi.org/10.1109/NCC.2015.7084895","url":null,"abstract":"Frequency Domain Link Adaptation (FDLA) has been accepted as a promising technique to improve the spectral efficiency in Orthogonal Frequency Division Multiple Access (OFDMA) systems such as Long Term Evolution (LTE) and Worldwide Interoperability for Microwave Access (WIMAX). FDLA exploits the frequency domain channel variation by using adaptive bit and power loading scheme in frequency domain. In this paper, we propose a hardware efficient architecture of adaptive bit loading scheme and implement the same in FPGA. It is shown that the FPGA design provides power efficiency and lower latency implementation. The design is shown to be flexible and reconfigurable and is compatible with multiple standards with different configurations. In this work, two different FDLA algorithms are implemented. This design is implemented in Wireless Open Access Research Platform (WARP) which has virtex-4 FPGA in its core for processing. The design is tested for its over the air performance by integrating it with FPGA based MIMO-OFDMA testbed, developed on the WARP platform. Real time over the air performance results are presented for uncoded systems.","PeriodicalId":302718,"journal":{"name":"2015 Twenty First National Conference on Communications (NCC)","volume":"53 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":"129443372","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}
Pub Date : 2015-04-16DOI: 10.1109/NCC.2015.7084904
V. N. Varghees, K. I. Ramachandran
Detection and classification of heart murmurs play an important role in accurate diagnosis of different types of heart dysfunctions. In this paper, we present a noise-robust method for detection and classification of heart murmurs using stationary wavelet transform (SWT) and Hilbert phase envelope. The proposed method consists of five major stages: SWT based PCG signal decomposition for identifying heart sound (HS) including S1, S2, S3 and S4, and heart murmur(HM) subbands, Hilbert phase envelope based boundary determination, temporal feature extraction, murmur detection and classification rule. The boundaries of local acoustic HS segments are determined using the positive slope of instantaneous phase waveform of the smooth absolute envelope. The temporal features such as amplitude, duration, zerocrossing rate, interval, onset and offset time-instants of the detected HS and HM segments are used at the classification stage. The performance of the proposed method is tested and validated using a wide variety of normal and pathological signals containing different patterns of heart sounds and murmurs. The method achieves a probability of correctly detecting HM segments Pms=100%, a probability of correctly detecting HS segments Phs=97.33% and probability of falsely detecting segments Pfs=1.33% for SNR value of 15 dB, and murmur classification accuracy ranging from 82.76% to 100%.
{"title":"Heart murmur detection and classification using wavelet transform and Hilbert phase envelope","authors":"V. N. Varghees, K. I. Ramachandran","doi":"10.1109/NCC.2015.7084904","DOIUrl":"https://doi.org/10.1109/NCC.2015.7084904","url":null,"abstract":"Detection and classification of heart murmurs play an important role in accurate diagnosis of different types of heart dysfunctions. In this paper, we present a noise-robust method for detection and classification of heart murmurs using stationary wavelet transform (SWT) and Hilbert phase envelope. The proposed method consists of five major stages: SWT based PCG signal decomposition for identifying heart sound (HS) including S1, S2, S3 and S4, and heart murmur(HM) subbands, Hilbert phase envelope based boundary determination, temporal feature extraction, murmur detection and classification rule. The boundaries of local acoustic HS segments are determined using the positive slope of instantaneous phase waveform of the smooth absolute envelope. The temporal features such as amplitude, duration, zerocrossing rate, interval, onset and offset time-instants of the detected HS and HM segments are used at the classification stage. The performance of the proposed method is tested and validated using a wide variety of normal and pathological signals containing different patterns of heart sounds and murmurs. The method achieves a probability of correctly detecting HM segments Pms=100%, a probability of correctly detecting HS segments Phs=97.33% and probability of falsely detecting segments Pfs=1.33% for SNR value of 15 dB, and murmur classification accuracy ranging from 82.76% to 100%.","PeriodicalId":302718,"journal":{"name":"2015 Twenty First National Conference on Communications (NCC)","volume":"5 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":"123898319","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}
Pub Date : 2015-04-16DOI: 10.1109/NCC.2015.7084830
D. Gurjar, P. K. Upadhyay
In this paper, we investigate the effect of imperfect channel state information (CSI) on the performance of a multiple-input multiple-output (MIMO) two-way relay system that employs transmit/receive zero-forcing (ZF) at the sources and analog network coding (ANC) at the relay. In fact, for the transmit/receive ZF, the source nodes require estimation of the CSI that may not be perfect in practice, and hence the channel estimation error (CEE) does exist in the system. By taking this CEE into account, we deduce that the post-processing end-to-end signal-to-noise ratios (SNRs) at the two sources are reduced by an additional noise pertaining to the CEE and the residual self-interference. Based on these SNRs, we analyze the overall system outage probability and the asymptotic outage behavior under a Rayleigh fading scenario. We demonstrate that the CEE has a severe impact on the overall outage performance and it may reduce the system diversity order to zero. Numerical and simulation investigations are conducted with various values of estimation errors and antenna configurations to support the theoretical analysis.
{"title":"Outage performance of zero-forcing based MIMO two-way relaying with channel estimation error","authors":"D. Gurjar, P. K. Upadhyay","doi":"10.1109/NCC.2015.7084830","DOIUrl":"https://doi.org/10.1109/NCC.2015.7084830","url":null,"abstract":"In this paper, we investigate the effect of imperfect channel state information (CSI) on the performance of a multiple-input multiple-output (MIMO) two-way relay system that employs transmit/receive zero-forcing (ZF) at the sources and analog network coding (ANC) at the relay. In fact, for the transmit/receive ZF, the source nodes require estimation of the CSI that may not be perfect in practice, and hence the channel estimation error (CEE) does exist in the system. By taking this CEE into account, we deduce that the post-processing end-to-end signal-to-noise ratios (SNRs) at the two sources are reduced by an additional noise pertaining to the CEE and the residual self-interference. Based on these SNRs, we analyze the overall system outage probability and the asymptotic outage behavior under a Rayleigh fading scenario. We demonstrate that the CEE has a severe impact on the overall outage performance and it may reduce the system diversity order to zero. Numerical and simulation investigations are conducted with various values of estimation errors and antenna configurations to support the theoretical analysis.","PeriodicalId":302718,"journal":{"name":"2015 Twenty First National Conference on Communications (NCC)","volume":"409 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":"123556788","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}
Pub Date : 2015-04-16DOI: 10.1109/NCC.2015.7084917
Jiss J. Nallikuzhy, S. Dandapat
Spatial resolution of ECG can be increased using the information available from a subset of standard 12-lead ECG. This is usually achieved by learning a model between the standard 12-lead and its reduced lead subset. Since ECG signal contains significant amount of diagnostic information, it is important to learn a model which preserves this information. In this work, a patient specific model is proposed which utilizes the inter lead correlation in the transformed domain. The model is learned over Wavelet domain using Linear Regression. Performance of the model is evaluated using standard distortion measures such as correlation coefficient and root mean square error along with wavelet energy based diagnostic distortion. An analysis is also performed over the derived signal to quantify the loss of diagnostic information. The results show that the proposed model performs better in preserving diagnostic information in comparison to the existing linear models.
{"title":"Enhancement of the spatial resolution of ECG using multi-scale Linear Regression","authors":"Jiss J. Nallikuzhy, S. Dandapat","doi":"10.1109/NCC.2015.7084917","DOIUrl":"https://doi.org/10.1109/NCC.2015.7084917","url":null,"abstract":"Spatial resolution of ECG can be increased using the information available from a subset of standard 12-lead ECG. This is usually achieved by learning a model between the standard 12-lead and its reduced lead subset. Since ECG signal contains significant amount of diagnostic information, it is important to learn a model which preserves this information. In this work, a patient specific model is proposed which utilizes the inter lead correlation in the transformed domain. The model is learned over Wavelet domain using Linear Regression. Performance of the model is evaluated using standard distortion measures such as correlation coefficient and root mean square error along with wavelet energy based diagnostic distortion. An analysis is also performed over the derived signal to quantify the loss of diagnostic information. The results show that the proposed model performs better in preserving diagnostic information in comparison to the existing linear models.","PeriodicalId":302718,"journal":{"name":"2015 Twenty First National Conference on Communications (NCC)","volume":"1 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":"129397999","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}
Pub Date : 2015-04-16DOI: 10.1109/NCC.2015.7084879
Jayeeta Datta, N. Kataria, N. Hubballi
Traffic classification is an important task for providing differentiated service quality to applications and also for security monitoring. With the advent of peer-to-peer applications and tunneling techniques it is becoming increasingly difficult to identify the traffic without going to the application semantics. Several approaches have been proposed (with varied success) which use machine learning techniques to identify the application traffic. In this paper we propose a novel technique based on application behavior based feature extraction and classification. We experiment with Google Hangout as a case study and report its detection results. Google Hangout is a semi peer-to-peer application allowing two parties to do video chat online. We performed experiments with a dataset consisting of several hours of network traffic consisting of 2.5 million packets and report results on 3 classification algorithms namely Naive Base, decision tree and AdaBoost. We conducted 3 sets of experiments with different combinations of data and performed 10 fold cross validation in each case to assess the classification performance.
{"title":"Network traffic classification in encrypted environment: A case study of Google Hangout","authors":"Jayeeta Datta, N. Kataria, N. Hubballi","doi":"10.1109/NCC.2015.7084879","DOIUrl":"https://doi.org/10.1109/NCC.2015.7084879","url":null,"abstract":"Traffic classification is an important task for providing differentiated service quality to applications and also for security monitoring. With the advent of peer-to-peer applications and tunneling techniques it is becoming increasingly difficult to identify the traffic without going to the application semantics. Several approaches have been proposed (with varied success) which use machine learning techniques to identify the application traffic. In this paper we propose a novel technique based on application behavior based feature extraction and classification. We experiment with Google Hangout as a case study and report its detection results. Google Hangout is a semi peer-to-peer application allowing two parties to do video chat online. We performed experiments with a dataset consisting of several hours of network traffic consisting of 2.5 million packets and report results on 3 classification algorithms namely Naive Base, decision tree and AdaBoost. We conducted 3 sets of experiments with different combinations of data and performed 10 fold cross validation in each case to assess the classification performance.","PeriodicalId":302718,"journal":{"name":"2015 Twenty First National Conference on Communications (NCC)","volume":"19 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":"125249570","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}
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