Pub Date : 2016-12-01DOI: 10.1109/ICSPCOM.2016.7980634
Vipul D Sahni, Nitesh Kumar, V. Saxena
This paper presents a brief overview of some hybrid techniques adapted for Peak to Average Power Ratio (PAPR) reduction. The (PAPR) reduction in Orthogonal Frequency Division Multiplexing (OFDM) system has received widespread attention from over the world during the last decade, leading to the successful development of several techniques for PAPR reduction. To overcome the inherent shortcomings of OFDM systems, more recent work shows the use of hybrid variants of some techniques for PAPR reduction. The paper mainly focuses on the performance and advantages of the proposed technique over the existing ones. In the result, the simulations depict that how the new hybrid proposed technique realizes an improved PAPR and Bit error Rate (BER).
{"title":"Novel hybrid technique(s) for PAPR reduction in OFDM systems","authors":"Vipul D Sahni, Nitesh Kumar, V. Saxena","doi":"10.1109/ICSPCOM.2016.7980634","DOIUrl":"https://doi.org/10.1109/ICSPCOM.2016.7980634","url":null,"abstract":"This paper presents a brief overview of some hybrid techniques adapted for Peak to Average Power Ratio (PAPR) reduction. The (PAPR) reduction in Orthogonal Frequency Division Multiplexing (OFDM) system has received widespread attention from over the world during the last decade, leading to the successful development of several techniques for PAPR reduction. To overcome the inherent shortcomings of OFDM systems, more recent work shows the use of hybrid variants of some techniques for PAPR reduction. The paper mainly focuses on the performance and advantages of the proposed technique over the existing ones. In the result, the simulations depict that how the new hybrid proposed technique realizes an improved PAPR and Bit error Rate (BER).","PeriodicalId":213713,"journal":{"name":"2016 International Conference on Signal Processing and Communication (ICSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128879009","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 : 2016-12-01DOI: 10.1109/ICSPCOM.2016.7980559
R. Budhiraja, Manish Kumar, R. C. Jain
This paper discusses the propagation characteristics of TE modes in non-uniform circular cylindrical waveguides for Gyro-TWT applications. The theory developed in this paper applies more particularly to tapered sections of waveguide having a gradually changing taper angle to connect waveguides of different cross-sectional dimensions for the preferential transmission of a particular mode. The operating mode is carefully selected with due consideration of design constraints/goals. The TE01 mode is selected as an operating mode for the present study. Coupled ordinary differential equations have been derived for the waveguide which are then solved numerically to determine the electromagnetic field configuration inside the waveguide.
{"title":"Propagation characteristics of TE modes in non-uniform circular cylindrical waveguides for Gyro-TWT applications","authors":"R. Budhiraja, Manish Kumar, R. C. Jain","doi":"10.1109/ICSPCOM.2016.7980559","DOIUrl":"https://doi.org/10.1109/ICSPCOM.2016.7980559","url":null,"abstract":"This paper discusses the propagation characteristics of TE modes in non-uniform circular cylindrical waveguides for Gyro-TWT applications. The theory developed in this paper applies more particularly to tapered sections of waveguide having a gradually changing taper angle to connect waveguides of different cross-sectional dimensions for the preferential transmission of a particular mode. The operating mode is carefully selected with due consideration of design constraints/goals. The TE01 mode is selected as an operating mode for the present study. Coupled ordinary differential equations have been derived for the waveguide which are then solved numerically to determine the electromagnetic field configuration inside the waveguide.","PeriodicalId":213713,"journal":{"name":"2016 International Conference on Signal Processing and Communication (ICSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129911478","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 : 2016-12-01DOI: 10.1109/ICSPCOM.2016.7980584
Esther Ramdinmawii, V. K. Mittal
The term gender identification deals with finding out the gender of a person from his or her voice. Gender identification has been implemented in several Automatic Speaker Recognition (ASR) systems and has proved to be of great significance. The use of gender identification in today's technology makes it easier for user authentication and identification in high security systems. In this paper, we have discussed about the gender identification process for speech signals using three different features namely Pitch using autocorrelation, Signal energy and Mel Frequency Cepstral Coefficients (MFCCs). A linear Support Vector Machine (SVM) classifier was used for classification of features extracted from the speech signal using signal processing methods. Two sets of experiments were performed - in the first experiment, one speech file was tested against one training file as a one-on-one experiment. In the second experiment, one speech file was tested against three training files. The average accuracy of the second experiment was slightly higher than the first experiment. Performance evaluation results are encouraging. The approach can be used in wide range of applications.
{"title":"Gender identification from speech signal by examining the speech production characteristics","authors":"Esther Ramdinmawii, V. K. Mittal","doi":"10.1109/ICSPCOM.2016.7980584","DOIUrl":"https://doi.org/10.1109/ICSPCOM.2016.7980584","url":null,"abstract":"The term gender identification deals with finding out the gender of a person from his or her voice. Gender identification has been implemented in several Automatic Speaker Recognition (ASR) systems and has proved to be of great significance. The use of gender identification in today's technology makes it easier for user authentication and identification in high security systems. In this paper, we have discussed about the gender identification process for speech signals using three different features namely Pitch using autocorrelation, Signal energy and Mel Frequency Cepstral Coefficients (MFCCs). A linear Support Vector Machine (SVM) classifier was used for classification of features extracted from the speech signal using signal processing methods. Two sets of experiments were performed - in the first experiment, one speech file was tested against one training file as a one-on-one experiment. In the second experiment, one speech file was tested against three training files. The average accuracy of the second experiment was slightly higher than the first experiment. Performance evaluation results are encouraging. The approach can be used in wide range of applications.","PeriodicalId":213713,"journal":{"name":"2016 International Conference on Signal Processing and Communication (ICSC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126842030","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 : 2016-12-01DOI: 10.1109/ICSPCOM.2016.7980549
Geetanjali Rathee, P. Thakur, G. Singh, H. Saini
The aim of this manuscript is to propose a secure handoff scheme for cognitive radio network by ensuring a secure communication among cognitive users (CU). A coordinator cognitive user(CCU) is selected based on users trust values/factor (TV/TF) by periodically computing and updating these values of each CU depending upon their characteristics. The CCU is the controlling unit to allow the unused band/channel during spectrum mobility/handoff by the CU as well as upon entry of new CU in the cognitive radio network (CRN). The proposed mechanism is validated by simulating in the Matlab environment against network throughput and to know the status of the handoff CU either it is trusted or untrusted.
{"title":"Aspects of secure communication during spectrum handoff in cognitive radio networks","authors":"Geetanjali Rathee, P. Thakur, G. Singh, H. Saini","doi":"10.1109/ICSPCOM.2016.7980549","DOIUrl":"https://doi.org/10.1109/ICSPCOM.2016.7980549","url":null,"abstract":"The aim of this manuscript is to propose a secure handoff scheme for cognitive radio network by ensuring a secure communication among cognitive users (CU). A coordinator cognitive user(CCU) is selected based on users trust values/factor (TV/TF) by periodically computing and updating these values of each CU depending upon their characteristics. The CCU is the controlling unit to allow the unused band/channel during spectrum mobility/handoff by the CU as well as upon entry of new CU in the cognitive radio network (CRN). The proposed mechanism is validated by simulating in the Matlab environment against network throughput and to know the status of the handoff CU either it is trusted or untrusted.","PeriodicalId":213713,"journal":{"name":"2016 International Conference on Signal Processing and Communication (ICSC)","volume":"59 229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125956427","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 : 2016-12-01DOI: 10.1109/ICSPCOM.2016.7980615
P. S. Pandian, M. Srinivasa
Wearable health monitoring systems use integrated sensors to monitor vital physiological parameters of the wearer. The paper discusses the preliminary results of a prototype wearable physiological monitoring system to monitor physiological parameters such as Electrocardiogram (ECG), Heart Rate (HR), Electroencephalogram (EEG) and Body Temperature. The ECG and EEG signals are acquired using a textile electrodes integrated into the fabric of the wearer. The acquired ECG and EEG signals are processed to remove noises and the parameters are extracted and trend analysis is carried out. The physiological parameters are monitored at the remote monitoring station using a ZigBee wireless communication.
{"title":"A ZigBee -wireless wearable remote physiological monitoring system","authors":"P. S. Pandian, M. Srinivasa","doi":"10.1109/ICSPCOM.2016.7980615","DOIUrl":"https://doi.org/10.1109/ICSPCOM.2016.7980615","url":null,"abstract":"Wearable health monitoring systems use integrated sensors to monitor vital physiological parameters of the wearer. The paper discusses the preliminary results of a prototype wearable physiological monitoring system to monitor physiological parameters such as Electrocardiogram (ECG), Heart Rate (HR), Electroencephalogram (EEG) and Body Temperature. The ECG and EEG signals are acquired using a textile electrodes integrated into the fabric of the wearer. The acquired ECG and EEG signals are processed to remove noises and the parameters are extracted and trend analysis is carried out. The physiological parameters are monitored at the remote monitoring station using a ZigBee wireless communication.","PeriodicalId":213713,"journal":{"name":"2016 International Conference on Signal Processing and Communication (ICSC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131202111","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 : 2016-12-01DOI: 10.1109/ICSPCOM.2016.7980581
Atul Kumar, B. Chaturvedi
A new cascadable first-order current-mode all-pass filter (FOCMAPF) consists of single active element namely, dual-X current conveyor transconductance amplifier (DXCCTA) and one capacitor is presented in this paper. The proposed filter offers the features of ease of cascading, electronic tuning of pole frequency, low sensitivities to the active components as well as to the passive component, low total harmonic distortion of output current (0.74%) and very good operating frequency (78.4 MHz). HSPICE simulation results using 180 nm CMOS process parameters have been shown to authenticate the proposed theory.
{"title":"Cascadable first-order current-mode all-pass filter with electronic tuning","authors":"Atul Kumar, B. Chaturvedi","doi":"10.1109/ICSPCOM.2016.7980581","DOIUrl":"https://doi.org/10.1109/ICSPCOM.2016.7980581","url":null,"abstract":"A new cascadable first-order current-mode all-pass filter (FOCMAPF) consists of single active element namely, dual-X current conveyor transconductance amplifier (DXCCTA) and one capacitor is presented in this paper. The proposed filter offers the features of ease of cascading, electronic tuning of pole frequency, low sensitivities to the active components as well as to the passive component, low total harmonic distortion of output current (0.74%) and very good operating frequency (78.4 MHz). HSPICE simulation results using 180 nm CMOS process parameters have been shown to authenticate the proposed theory.","PeriodicalId":213713,"journal":{"name":"2016 International Conference on Signal Processing and Communication (ICSC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134375944","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 : 2016-12-01DOI: 10.1109/ICSPCOM.2016.7980602
R. Choudhary, A. Tiwari
In foggy and misty weather conditions, the contrast and color of images degrade. These degradation occur due to the attenuation of light and presence of air-light, light reflected from fog particles. Attenuation reduces the contrast and air-light increases the whiteness in the image. In this paper, a novel and efficient fog removal algorithm is proposed. The algorithm uses white color balancing with inter smoothing for the estimation of air-light and restore fog free image. The proposed algorithm, unlike some other methods, is independent from the intensity of fog and does not require user intervention. Qualitative and quantitative analysis demonstrate that the proposed method outperforms the state of art methods.
{"title":"Inter-region linear smoothing function for foggy and hazy images","authors":"R. Choudhary, A. Tiwari","doi":"10.1109/ICSPCOM.2016.7980602","DOIUrl":"https://doi.org/10.1109/ICSPCOM.2016.7980602","url":null,"abstract":"In foggy and misty weather conditions, the contrast and color of images degrade. These degradation occur due to the attenuation of light and presence of air-light, light reflected from fog particles. Attenuation reduces the contrast and air-light increases the whiteness in the image. In this paper, a novel and efficient fog removal algorithm is proposed. The algorithm uses white color balancing with inter smoothing for the estimation of air-light and restore fog free image. The proposed algorithm, unlike some other methods, is independent from the intensity of fog and does not require user intervention. Qualitative and quantitative analysis demonstrate that the proposed method outperforms the state of art methods.","PeriodicalId":213713,"journal":{"name":"2016 International Conference on Signal Processing and Communication (ICSC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115451955","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 : 2016-12-01DOI: 10.1109/ICSPCOM.2016.7980587
J. J., M. John
In this paper, a fast forward motion estimation (FFME) algorithm based on motion compensated frame rate up-conversion (MC-FRUC) with reduced time complexity is proposed. The proposed algorithm exploits the spatial correlation of the displacement vectors of the neighboring blocks in a frame. The algorithm achieves a reduction in the computational complexity by 85% compared to the existing single frame interpolation scheme, while maintaining almost the same objective quality. A multiple interpolation technique is also presented based on the proposed FFME technique. The experimental results demonstrate the suitability of the method for frame rate up conversion.
{"title":"Motion compensation based multiple inter frame interpolation","authors":"J. J., M. John","doi":"10.1109/ICSPCOM.2016.7980587","DOIUrl":"https://doi.org/10.1109/ICSPCOM.2016.7980587","url":null,"abstract":"In this paper, a fast forward motion estimation (FFME) algorithm based on motion compensated frame rate up-conversion (MC-FRUC) with reduced time complexity is proposed. The proposed algorithm exploits the spatial correlation of the displacement vectors of the neighboring blocks in a frame. The algorithm achieves a reduction in the computational complexity by 85% compared to the existing single frame interpolation scheme, while maintaining almost the same objective quality. A multiple interpolation technique is also presented based on the proposed FFME technique. The experimental results demonstrate the suitability of the method for frame rate up conversion.","PeriodicalId":213713,"journal":{"name":"2016 International Conference on Signal Processing and Communication (ICSC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115539405","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 : 2016-12-01DOI: 10.1109/ICSPCOM.2016.7980585
Gulezar Shamim, Y. Khan, M. Sarfraz, Omar Farooq
Epileptic seizures are recurring brief episodes of abnormal excessive or synchronous neuronal activity in the brain, and are often accompanied by changes in various autonomic functions like heart rate (HR). A better approach for detecting epileptic seizures is by using electrocardiogram (ECG) signals because ECG acquisition is relatively easier as compared to EEG. In this paper a new technique is proposed for detection of seizures in epileptic patients using the electrocardiogram (ECG) signal. Feature sets for analysis of HRV (heart rate variability) comprises of parameters from multiple domains. For temporal analysis activity, mobility and complexity features are identified and for spectral analysis mean of absolute deviation of Fast Fourier Transform coefficients and spectral entropy are identified for seizure detection. These features are classified by using two different approaches i.e. by setting threshold and by using linear support vector machine where average latency by threshold approach was found to be better than linear SVM. The performance parameters for the proposed technique using threshold approach for classification are accuracy (94.2%), sensitivity (84.1%) and specificity (94.5%) which shows that the proposed algorithm detects epileptic seizures efficiently. Comparison of performance of this model was done with those proposed earlier using ECG signal and this model was found to be better.
{"title":"Epileptic seizure detection using heart rate variability","authors":"Gulezar Shamim, Y. Khan, M. Sarfraz, Omar Farooq","doi":"10.1109/ICSPCOM.2016.7980585","DOIUrl":"https://doi.org/10.1109/ICSPCOM.2016.7980585","url":null,"abstract":"Epileptic seizures are recurring brief episodes of abnormal excessive or synchronous neuronal activity in the brain, and are often accompanied by changes in various autonomic functions like heart rate (HR). A better approach for detecting epileptic seizures is by using electrocardiogram (ECG) signals because ECG acquisition is relatively easier as compared to EEG. In this paper a new technique is proposed for detection of seizures in epileptic patients using the electrocardiogram (ECG) signal. Feature sets for analysis of HRV (heart rate variability) comprises of parameters from multiple domains. For temporal analysis activity, mobility and complexity features are identified and for spectral analysis mean of absolute deviation of Fast Fourier Transform coefficients and spectral entropy are identified for seizure detection. These features are classified by using two different approaches i.e. by setting threshold and by using linear support vector machine where average latency by threshold approach was found to be better than linear SVM. The performance parameters for the proposed technique using threshold approach for classification are accuracy (94.2%), sensitivity (84.1%) and specificity (94.5%) which shows that the proposed algorithm detects epileptic seizures efficiently. Comparison of performance of this model was done with those proposed earlier using ECG signal and this model was found to be better.","PeriodicalId":213713,"journal":{"name":"2016 International Conference on Signal Processing and Communication (ICSC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124807086","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 : 2016-12-01DOI: 10.1109/ICSPCOM.2016.7980618
Satyendra Kumar, P. Saxena, V. Tikkiwal
In modern System-on-Chip (SoC) large amount of area is occupied by memory circuits. Due to process variations in advanced CMOS technologies, the proper read and write operations of an 6T SRAM bitcell are the major issues. In this paper two write assist techniques - Word Line Overdrive (WLOD) and Negative Bitline (NBL), are discussed and compared. The idea presented here is that these techniques can be used for low power applications by reducing the supply voltage (VDD) with maintaining the write ability and read stability of the bitcell. Simulation results demonstrate enhanced write margin (WM) for the bitcell and stable operation at low VDD. These techniques are based on tuning the strength of the access transistor with respect to the pull-up transistor of the bitcell. The simulations are done using 45 nm CMOS technology with process variations taken along.
{"title":"SRAM write assist techniques for low power applications","authors":"Satyendra Kumar, P. Saxena, V. Tikkiwal","doi":"10.1109/ICSPCOM.2016.7980618","DOIUrl":"https://doi.org/10.1109/ICSPCOM.2016.7980618","url":null,"abstract":"In modern System-on-Chip (SoC) large amount of area is occupied by memory circuits. Due to process variations in advanced CMOS technologies, the proper read and write operations of an 6T SRAM bitcell are the major issues. In this paper two write assist techniques - Word Line Overdrive (WLOD) and Negative Bitline (NBL), are discussed and compared. The idea presented here is that these techniques can be used for low power applications by reducing the supply voltage (VDD) with maintaining the write ability and read stability of the bitcell. Simulation results demonstrate enhanced write margin (WM) for the bitcell and stable operation at low VDD. These techniques are based on tuning the strength of the access transistor with respect to the pull-up transistor of the bitcell. The simulations are done using 45 nm CMOS technology with process variations taken along.","PeriodicalId":213713,"journal":{"name":"2016 International Conference on Signal Processing and Communication (ICSC)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124046686","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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