Pub Date : 2015-03-12DOI: 10.1109/SPACES.2015.7058307
P. Kumari, I. S. Prabha
In recent years, the growth in user demand and diversity of real time services has lead to the integration of different wireless technologies. Cellular technologies can provide data services over a wide area, but with lower data rates. Wireless Local Area Network (WLAN) technologies offer higher data rates, but over smaller hotspots. The demand for ubiquitous data service can be fulfilled, if it is possible for the end-user to seamlessly roam between these heterogeneous technologies. In an environment of wireless networks with different standards, choosing an optimum network to handoff the ongoing service plays a crucial role. An efficient network selection algorithm using different network metrics is developed in this paper for performing vertical handoff decision function. Dynamic weights assigned to these metrics are optimized using Gravitational Search Algorithm (GSA). The network with highest handoff decision value is qualified as the optimum network for handoff execution resulting in better Quality of Service (QOS).
{"title":"Optimum network selection in heterogeneous wireless environment using gravitational search algorithm","authors":"P. Kumari, I. S. Prabha","doi":"10.1109/SPACES.2015.7058307","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058307","url":null,"abstract":"In recent years, the growth in user demand and diversity of real time services has lead to the integration of different wireless technologies. Cellular technologies can provide data services over a wide area, but with lower data rates. Wireless Local Area Network (WLAN) technologies offer higher data rates, but over smaller hotspots. The demand for ubiquitous data service can be fulfilled, if it is possible for the end-user to seamlessly roam between these heterogeneous technologies. In an environment of wireless networks with different standards, choosing an optimum network to handoff the ongoing service plays a crucial role. An efficient network selection algorithm using different network metrics is developed in this paper for performing vertical handoff decision function. Dynamic weights assigned to these metrics are optimized using Gravitational Search Algorithm (GSA). The network with highest handoff decision value is qualified as the optimum network for handoff execution resulting in better Quality of Service (QOS).","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124296071","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 : 2015-03-12DOI: 10.1109/SPACES.2015.7058280
M. Suman, H. Khan, M. Latha, D. Kumari
Speech Enhancement refers to the improvement in the intelligibility and or the quality of the degraded speech signal using signal processing techniques. Till recent days speech enhancement is a very difficult problem because the noise content in the speech signals varies its nature and characteristics with time and application to application. Using speech enhancement techniques the quality and intelligibility of a speech signal can't be preserved simultaneously. So generally a trade off is maintained between these two. In speech communication there are number of applications where speech enhancement is required for Example: VoIP, hands free communication, hearing aids, answering machines, speech recognition, teleconferencing systems, car and mobile phones. In this work the main focus is on the development of speech enhancement algorithm that maintains a proper tradeoff between quality and intelligibility in the speech signal. This can be made possible using the time and spectral information in the speech signal. This work also focus on the problem of enhancing the compressed version of the speech signal, to improve the intelligibility of the speech signal. The performance measures like Signal to Noise Ratio (SNR), Mean opinion Score (MOS), Pitch and Formants used to find the performance of a speech enhancement algorithm which varies from application to application.
{"title":"Performance analysis of enhanced noisy compressed speech signal corrupted by Gaussian and real world noise using recursive filter","authors":"M. Suman, H. Khan, M. Latha, D. Kumari","doi":"10.1109/SPACES.2015.7058280","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058280","url":null,"abstract":"Speech Enhancement refers to the improvement in the intelligibility and or the quality of the degraded speech signal using signal processing techniques. Till recent days speech enhancement is a very difficult problem because the noise content in the speech signals varies its nature and characteristics with time and application to application. Using speech enhancement techniques the quality and intelligibility of a speech signal can't be preserved simultaneously. So generally a trade off is maintained between these two. In speech communication there are number of applications where speech enhancement is required for Example: VoIP, hands free communication, hearing aids, answering machines, speech recognition, teleconferencing systems, car and mobile phones. In this work the main focus is on the development of speech enhancement algorithm that maintains a proper tradeoff between quality and intelligibility in the speech signal. This can be made possible using the time and spectral information in the speech signal. This work also focus on the problem of enhancing the compressed version of the speech signal, to improve the intelligibility of the speech signal. The performance measures like Signal to Noise Ratio (SNR), Mean opinion Score (MOS), Pitch and Formants used to find the performance of a speech enhancement algorithm which varies from application to application.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121862511","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 : 2015-03-12DOI: 10.1109/SPACES.2015.7058213
V. Dinesh, G. Karunakar
The need for miniaturized antenna is ever growing in view of the advancements in wireless communication technology. The conventional microstrip antennas take any shape like square, rectangular, triangle and so on. They provide normally single resonance frequency with high quality factor because of narrow bandwidth. However, the fractal antennas are able to provide either multi-band resonances or broad bandwidth because of the self-similar and space-filling properties. In present paper, a study is made on Sierpinski gasket carpet fractal antenna, for single and multiband applications. Design and simulation is done using HFSS 13.0 software and fabrication is done using photolithography etching method which gives adequate result for this type of antennas. By using vector network analyzer E5071C the designed antennas are tested and various plots like return loss, VSWR, smith chart and polar plot are verified. The designed antennas are used in implantable medical (IMD) applications and other wireless applications. [1-6].
{"title":"Analysis of microstrip rectangular carpet shaped fractal antenna","authors":"V. Dinesh, G. Karunakar","doi":"10.1109/SPACES.2015.7058213","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058213","url":null,"abstract":"The need for miniaturized antenna is ever growing in view of the advancements in wireless communication technology. The conventional microstrip antennas take any shape like square, rectangular, triangle and so on. They provide normally single resonance frequency with high quality factor because of narrow bandwidth. However, the fractal antennas are able to provide either multi-band resonances or broad bandwidth because of the self-similar and space-filling properties. In present paper, a study is made on Sierpinski gasket carpet fractal antenna, for single and multiband applications. Design and simulation is done using HFSS 13.0 software and fabrication is done using photolithography etching method which gives adequate result for this type of antennas. By using vector network analyzer E5071C the designed antennas are tested and various plots like return loss, VSWR, smith chart and polar plot are verified. The designed antennas are used in implantable medical (IMD) applications and other wireless applications. [1-6].","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128596988","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 : 2015-03-12DOI: 10.1109/SPACES.2015.7058231
V. LeelaRani, M. Madhavilatha
Leakage power dissipation plays a major role in the total power dissipation with the advancement in the technology. Reduction of leakage power is of top concern in the present trend of nanotechnology. Input Vector Control (IVC) is one of the approaches used for static power reduction during standby mode. Leakage in a circuit depends on input vector applied at primary inputs due to stacking effect. Minimum leakage vector (MLV) is the input vector to which a circuit can offer a minimum leakage for a given set of test inputs. This paper presents MLV for various test circuits using genetic algorithm. The algorithm is implemented in Verilog HDL to obtain MLV. Results explores that heuristic approaches can be considered as better algorithms in finding optimum solution. Another advantage found during simulation is that implementation of algorithm in HDL converges in less number of iterations with runtime savings compared to random search method.
{"title":"Verilog implementation of genetic algorithm for minimum leakage vector in input vector control approach","authors":"V. LeelaRani, M. Madhavilatha","doi":"10.1109/SPACES.2015.7058231","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058231","url":null,"abstract":"Leakage power dissipation plays a major role in the total power dissipation with the advancement in the technology. Reduction of leakage power is of top concern in the present trend of nanotechnology. Input Vector Control (IVC) is one of the approaches used for static power reduction during standby mode. Leakage in a circuit depends on input vector applied at primary inputs due to stacking effect. Minimum leakage vector (MLV) is the input vector to which a circuit can offer a minimum leakage for a given set of test inputs. This paper presents MLV for various test circuits using genetic algorithm. The algorithm is implemented in Verilog HDL to obtain MLV. Results explores that heuristic approaches can be considered as better algorithms in finding optimum solution. Another advantage found during simulation is that implementation of algorithm in HDL converges in less number of iterations with runtime savings compared to random search method.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125912633","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 : 2015-03-12DOI: 10.1109/SPACES.2015.7058301
I. Snigdh, N. Gupta
Quasi is a combining form meaning "resembling," "having some, but not all of the features of" any particular entity. We use quasi to emulate regularity in deployment of a sensor network. Most wireless networks focus on bandwidth assurances. We study the effect of network topology though effective deployment strategy to improve the energy consumption and delay metrics, essential for typical real time sensor network applications. This paper analyzes the performance of quasi random strategy against deterministic, random based methods under a given set of protocols and network parameters. We justify that the quasi random method improves the energy conservation and reduces the end to end delay of the networks considered.
{"title":"Performance evaluation of quasi regular deployment strategy in graph based wireless sensor networks","authors":"I. Snigdh, N. Gupta","doi":"10.1109/SPACES.2015.7058301","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058301","url":null,"abstract":"Quasi is a combining form meaning \"resembling,\" \"having some, but not all of the features of\" any particular entity. We use quasi to emulate regularity in deployment of a sensor network. Most wireless networks focus on bandwidth assurances. We study the effect of network topology though effective deployment strategy to improve the energy consumption and delay metrics, essential for typical real time sensor network applications. This paper analyzes the performance of quasi random strategy against deterministic, random based methods under a given set of protocols and network parameters. We justify that the quasi random method improves the energy conservation and reduces the end to end delay of the networks considered.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"77 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126018985","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 : 2015-03-12DOI: 10.1109/SPACES.2015.7058274
Kasiprasad Mannepalli, P. N. Sastry, V. Rajesh
Speech automation is becoming more popular in the recent times. Speech recognition systems are increasing day by day. Earlier the speech recognition systems were developed for English language. Now these systems are being developed for many other languages. Many languages in the globe have different speaking styles or accents. The speech recognition systems may not recognize speeches with accent other than the system are trained. So it is important in the speech to text conversion systems to convert the accented speech in to text. Telugu is a language of southern part of India, has mainly three different accents namely Coastal Andhra, Rayalaseema and Telangana, in which the stress is different for the same word in these accents. In this work, text dependent speeches from Coastal Andhra, Rayalaseema, Telangana accents have been collected. Prosodie and formant features extracted from speech are used for discriminating the accents. Prosodie features are represented by durations of syllables, pitch and energy contours. These features are used to recognize the accent of the speaker using Nearest Neighborhood Classifier. The best recognition Accuracy using this model obtained 72%.
{"title":"Accent detection of Telugu speech using prosodic and formant features","authors":"Kasiprasad Mannepalli, P. N. Sastry, V. Rajesh","doi":"10.1109/SPACES.2015.7058274","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058274","url":null,"abstract":"Speech automation is becoming more popular in the recent times. Speech recognition systems are increasing day by day. Earlier the speech recognition systems were developed for English language. Now these systems are being developed for many other languages. Many languages in the globe have different speaking styles or accents. The speech recognition systems may not recognize speeches with accent other than the system are trained. So it is important in the speech to text conversion systems to convert the accented speech in to text. Telugu is a language of southern part of India, has mainly three different accents namely Coastal Andhra, Rayalaseema and Telangana, in which the stress is different for the same word in these accents. In this work, text dependent speeches from Coastal Andhra, Rayalaseema, Telangana accents have been collected. Prosodie and formant features extracted from speech are used for discriminating the accents. Prosodie features are represented by durations of syllables, pitch and energy contours. These features are used to recognize the accent of the speaker using Nearest Neighborhood Classifier. The best recognition Accuracy using this model obtained 72%.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115196897","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}
Large online music collections often frustrate users and have increased the importance of recommender systems. This has led to interesting problem of automated playlist generation. Most of the existing playlist's compare a pair songs based on low-level/mid-level features and calculate the similarity. These systems lack user perception of music. This work supplements such existing systems by providing user perception of songs conveyed in Twitter messages. The proposed system combines audio based features and sentiment associated with the song. This unique fusion not only yields better results but also better user satisfaction. Further a validation on 200 users who used our playlist showed that atleast 67% of the songs in the playlist were liked by the user.
{"title":"Playlist generation based on user perception of songs","authors":"Prafiilla Kalapatapu, Utkarsh Dubey, Aruna Malapati","doi":"10.1109/SPACES.2015.7058199","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058199","url":null,"abstract":"Large online music collections often frustrate users and have increased the importance of recommender systems. This has led to interesting problem of automated playlist generation. Most of the existing playlist's compare a pair songs based on low-level/mid-level features and calculate the similarity. These systems lack user perception of music. This work supplements such existing systems by providing user perception of songs conveyed in Twitter messages. The proposed system combines audio based features and sentiment associated with the song. This unique fusion not only yields better results but also better user satisfaction. Further a validation on 200 users who used our playlist showed that atleast 67% of the songs in the playlist were liked by the user.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121535202","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 : 2015-03-12DOI: 10.1109/SPACES.2015.7058233
S. Parveen, M. Rukmini, Avireni Srinivasulu
This paper presents two new Schmitt trigger circuits with eight enhancement-type MOS transistors are introduced in this paper. These two Schmitt trigger circuits are implemented based on current sink and current source inverters. The hysteresis curves of the proposed Schmitt triggers are presented, hysteresis width depends on the supply voltage and transistor geometry. These circuits are preferred for high speed applications and also useful in low power applications. The performances of proposed circuits are examined using Cadence and model parameters of 180 nm CMOS technology with supply rail voltage of +3V. The simulation results and layouts are presented with optimized sizing and spacing in compliance to the design rules of gpdk 180 nm CMOS process.
{"title":"Two new Schmitt trigger circuits based on current sink and current source inverters","authors":"S. Parveen, M. Rukmini, Avireni Srinivasulu","doi":"10.1109/SPACES.2015.7058233","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058233","url":null,"abstract":"This paper presents two new Schmitt trigger circuits with eight enhancement-type MOS transistors are introduced in this paper. These two Schmitt trigger circuits are implemented based on current sink and current source inverters. The hysteresis curves of the proposed Schmitt triggers are presented, hysteresis width depends on the supply voltage and transistor geometry. These circuits are preferred for high speed applications and also useful in low power applications. The performances of proposed circuits are examined using Cadence and model parameters of 180 nm CMOS technology with supply rail voltage of +3V. The simulation results and layouts are presented with optimized sizing and spacing in compliance to the design rules of gpdk 180 nm CMOS process.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129873708","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 : 2015-03-12DOI: 10.1109/SPACES.2015.7058261
P. Kishore, A. Sastry, C. B. S. V. Krishna, Y. Vikas, C. Aneesh
Hyperspectral face images present productive information captured using a Hyperspectral camera compared to normal RGB camera capturing face images. Hyper spectral imaging is the collecting and processing of information from across the visible electromagnetic spectrum. Hyper spectral imaging deals with the imaging of narrow spectral bands over a continuous visible spectral range, and produces the spectra of all pixels in the scene. In this research face recognition experimentation is done in near infrared Hyperspectral images. The recognition is accomplished on Hyperspectral face database consisting of 47 test subjects created by Hong Kong Polytechnic University. The database images of Hyperspectral faces were collected using a CCD camera equipped with a liquid crystal tunable filter to provide 33 bands over the near-infrared (0.7_m-1.0_m). Experiments were conducted to demonstrate that this simple algorithm can be used to recognize faces that changes in facial pose and expression over time.
{"title":"Hyperspectral face data reduction and classification with multiresolution wavelets","authors":"P. Kishore, A. Sastry, C. B. S. V. Krishna, Y. Vikas, C. Aneesh","doi":"10.1109/SPACES.2015.7058261","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058261","url":null,"abstract":"Hyperspectral face images present productive information captured using a Hyperspectral camera compared to normal RGB camera capturing face images. Hyper spectral imaging is the collecting and processing of information from across the visible electromagnetic spectrum. Hyper spectral imaging deals with the imaging of narrow spectral bands over a continuous visible spectral range, and produces the spectra of all pixels in the scene. In this research face recognition experimentation is done in near infrared Hyperspectral images. The recognition is accomplished on Hyperspectral face database consisting of 47 test subjects created by Hong Kong Polytechnic University. The database images of Hyperspectral faces were collected using a CCD camera equipped with a liquid crystal tunable filter to provide 33 bands over the near-infrared (0.7_m-1.0_m). Experiments were conducted to demonstrate that this simple algorithm can be used to recognize faces that changes in facial pose and expression over time.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"751 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132705811","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 : 2015-03-12DOI: 10.1109/SPACES.2015.7058290
Ajay Kumar Maddirala, R. Shaik
This paper presents a sequential singular spectrum analysis (SSA) also known as multistage SSA method to separate the artifacts from the single channel electroencephalogram (EEG) signal. Firstly, the (SSA) was applied on the contaminated EEG signal with window length L1□ and decomposed into three components (EOG, EEG and EMG). After observing these deco-composed components, if any artifacts are still present in the EEG components, SSA is again applied with different window length L2. Finally the artifacts such as electrooculogram (EOG) and electromyogram (EMG) are separated from the EEG signal and it is found that the seizure activity (5.45/7z)□ is preserved and all the artifact components are separated efficiently. It is also found that in terms of computational complexity the proposed sequential SSA technique is more efficient than the Local SSA.
{"title":"Separation of artifacts from electroencephalogram signal using sequential singular spectrum analysis","authors":"Ajay Kumar Maddirala, R. Shaik","doi":"10.1109/SPACES.2015.7058290","DOIUrl":"https://doi.org/10.1109/SPACES.2015.7058290","url":null,"abstract":"This paper presents a sequential singular spectrum analysis (SSA) also known as multistage SSA method to separate the artifacts from the single channel electroencephalogram (EEG) signal. Firstly, the (SSA) was applied on the contaminated EEG signal with window length L1□ and decomposed into three components (EOG, EEG and EMG). After observing these deco-composed components, if any artifacts are still present in the EEG components, SSA is again applied with different window length L2. Finally the artifacts such as electrooculogram (EOG) and electromyogram (EMG) are separated from the EEG signal and it is found that the seizure activity (5.45/7z)□ is preserved and all the artifact components are separated efficiently. It is also found that in terms of computational complexity the proposed sequential SSA technique is more efficient than the Local SSA.","PeriodicalId":432479,"journal":{"name":"2015 International Conference on Signal Processing and Communication Engineering Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129795190","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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