Pub Date : 2017-05-01DOI: 10.1109/ICSIGSYS.2017.7967071
S. Bhatti, K. Brown
This paper explores the possibility of using the relationship between the frequency of the transmit waveform and the location of grating lobes to achieve beam steering. The performance of the proposed beam steering technique is compared with conventional phase steering in terms of hardware requirements, beamwidths and angular coverage.
{"title":"Sonar beam steering using grating lobes","authors":"S. Bhatti, K. Brown","doi":"10.1109/ICSIGSYS.2017.7967071","DOIUrl":"https://doi.org/10.1109/ICSIGSYS.2017.7967071","url":null,"abstract":"This paper explores the possibility of using the relationship between the frequency of the transmit waveform and the location of grating lobes to achieve beam steering. The performance of the proposed beam steering technique is compared with conventional phase steering in terms of hardware requirements, beamwidths and angular coverage.","PeriodicalId":212068,"journal":{"name":"2017 International Conference on Signals and Systems (ICSigSys)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128343619","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 : 2017-05-01DOI: 10.1109/ICSIGSYS.2017.7967070
Akalily Mardhiyya, R. P. Astuti, N. Adriansyah
In the uplink system, different carrier frequency offsets (CFO) of different users at the receiver resulting multiuser interference (MUI) and thus degrade the performance of Multicarrier Code Division Multiple Access (MC-CDMA) system. In the previous study, Modified Minimum Mean Square Error Frequency Domain Equalization (Modified MMSE-FDE) has been proposed by Agnihotri which results in a better performance than the conventional MMSE. However, the achieved Bit Error Rate (BER) is not smaller than 10−2 for Signal to Noise Ratio (SNR) below 20. This paper proposed a new algorithm to improve Modified MMSE-FDE performance in mitigating multiuser interference (MUI) in single cell MC-CDMA system, that is called as Carrier Frequency Offset Estimation-Minimum Mean Square Error Frequency Domain Equalization (CFO Estimation-MMSE FEQ). CFO Estimation-MMSE FEQ takes into account the rest of MUI as well as Modified MMSE-FDE to design equalization coefficient, but CFO Estimation-MMSE FEQ uses CFO estimation that is not on Modified MMSE-FDE. The value of CFO is estimated and regenerated in the receiver and then used to estimate MUI. In order to get signal processing more efficient, CFO Estimation-MMSE FEQ only takes the real trace of equalization coefficient matrix. MC-CDMA with CFO Estimation-MMSE FEQ has better performance than MC-CDMA with Modified MMSE-FDE. However, the complexity of CFO Estimation-MMSE FEQ is higher than Modified MMSE-FDE. By taking only the real trace of equalization coefficient matrix, the complexity of CFO Estimation-MMSE FEQ is getting simpler than taking the whole of equalization coefficient matrix. Furthermore, CFO Estimation-MMSE FEQ that takes only the real trace of equalization coefficient matrix is 2.9 % more efficient than CFO Estimation-MMSE FEQ that takes the whole of equalization coefficient matrix.
{"title":"A multiuser interference mitigation scheme in uplink MC-CDMA with CFO Estimation-MMSE FEQ technique","authors":"Akalily Mardhiyya, R. P. Astuti, N. Adriansyah","doi":"10.1109/ICSIGSYS.2017.7967070","DOIUrl":"https://doi.org/10.1109/ICSIGSYS.2017.7967070","url":null,"abstract":"In the uplink system, different carrier frequency offsets (CFO) of different users at the receiver resulting multiuser interference (MUI) and thus degrade the performance of Multicarrier Code Division Multiple Access (MC-CDMA) system. In the previous study, Modified Minimum Mean Square Error Frequency Domain Equalization (Modified MMSE-FDE) has been proposed by Agnihotri which results in a better performance than the conventional MMSE. However, the achieved Bit Error Rate (BER) is not smaller than 10−2 for Signal to Noise Ratio (SNR) below 20. This paper proposed a new algorithm to improve Modified MMSE-FDE performance in mitigating multiuser interference (MUI) in single cell MC-CDMA system, that is called as Carrier Frequency Offset Estimation-Minimum Mean Square Error Frequency Domain Equalization (CFO Estimation-MMSE FEQ). CFO Estimation-MMSE FEQ takes into account the rest of MUI as well as Modified MMSE-FDE to design equalization coefficient, but CFO Estimation-MMSE FEQ uses CFO estimation that is not on Modified MMSE-FDE. The value of CFO is estimated and regenerated in the receiver and then used to estimate MUI. In order to get signal processing more efficient, CFO Estimation-MMSE FEQ only takes the real trace of equalization coefficient matrix. MC-CDMA with CFO Estimation-MMSE FEQ has better performance than MC-CDMA with Modified MMSE-FDE. However, the complexity of CFO Estimation-MMSE FEQ is higher than Modified MMSE-FDE. By taking only the real trace of equalization coefficient matrix, the complexity of CFO Estimation-MMSE FEQ is getting simpler than taking the whole of equalization coefficient matrix. Furthermore, CFO Estimation-MMSE FEQ that takes only the real trace of equalization coefficient matrix is 2.9 % more efficient than CFO Estimation-MMSE FEQ that takes the whole of equalization coefficient matrix.","PeriodicalId":212068,"journal":{"name":"2017 International Conference on Signals and Systems (ICSigSys)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117118606","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 : 2017-05-01DOI: 10.1109/ICSIGSYS.2017.7967052
M. Gragasin, M. P. A. Talplacido, Nemesio A. Macabale
The Raspberry Pi has become one of the most popular devices used in the internet of things studies because of its flexibility and affordability for prototyping purposes. It has found its niche in wireless sensor networks as it can function both as sensor node and router node just by adding wireless adapter. Studies have employed the Raspberry Pi as WSN mesh node and sensor node. These studies looked on the performance of these devices on single flow of data and/or on limited number of hops. Indirectly, they say these devices performs poorly on multihop and multi-flow experimental scenarios. Our experiments show that for multi-hop and multi-flow of scenarios, the raspberry pi nodes actually have enough resource and capacity to maintain good performance. Data flows simply share these resources amongst themselves that results to smaller throughput per flow. We show the appropriateness of Raspberry Pi not only as a sensor node but at the same time act as a mesh node for wireless sensor network studies in different scenarios. To the best of our knowledge, this has not been reported in the literature which should be helpful to other researchers.
{"title":"Throughput evaluation of Raspberry Pi devices on multihop and multiflow Wireless Sensor Network scenarios","authors":"M. Gragasin, M. P. A. Talplacido, Nemesio A. Macabale","doi":"10.1109/ICSIGSYS.2017.7967052","DOIUrl":"https://doi.org/10.1109/ICSIGSYS.2017.7967052","url":null,"abstract":"The Raspberry Pi has become one of the most popular devices used in the internet of things studies because of its flexibility and affordability for prototyping purposes. It has found its niche in wireless sensor networks as it can function both as sensor node and router node just by adding wireless adapter. Studies have employed the Raspberry Pi as WSN mesh node and sensor node. These studies looked on the performance of these devices on single flow of data and/or on limited number of hops. Indirectly, they say these devices performs poorly on multihop and multi-flow experimental scenarios. Our experiments show that for multi-hop and multi-flow of scenarios, the raspberry pi nodes actually have enough resource and capacity to maintain good performance. Data flows simply share these resources amongst themselves that results to smaller throughput per flow. We show the appropriateness of Raspberry Pi not only as a sensor node but at the same time act as a mesh node for wireless sensor network studies in different scenarios. To the best of our knowledge, this has not been reported in the literature which should be helpful to other researchers.","PeriodicalId":212068,"journal":{"name":"2017 International Conference on Signals and Systems (ICSigSys)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123769519","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 : 2017-05-01DOI: 10.1109/ICSIGSYS.2017.7967072
Youngjoo Kim, H. Bang
This paper presents method and result of analysis on the multivariate mutual information of an interferometric radar altimeter (IRA) for an application to the terrain-referenced navigation (TRN). As an effort to improve the performance of the IRA-based TRN, we have proposed a novel measurement model which utilizes three measurements. This paper addresses the preliminary study to quantify the effect of the IRA measurement on the filtering results by analyzing the amount of information inherent in the IRA measurements. This study gave the information theoretic background of the proposed method. The numerical simulation with synthetic measurements shows that combination of the three measurements have positive interaction information which implies the larger synergy than the redundancy.
{"title":"Multivariate mutual information of interferometric radar altimeter","authors":"Youngjoo Kim, H. Bang","doi":"10.1109/ICSIGSYS.2017.7967072","DOIUrl":"https://doi.org/10.1109/ICSIGSYS.2017.7967072","url":null,"abstract":"This paper presents method and result of analysis on the multivariate mutual information of an interferometric radar altimeter (IRA) for an application to the terrain-referenced navigation (TRN). As an effort to improve the performance of the IRA-based TRN, we have proposed a novel measurement model which utilizes three measurements. This paper addresses the preliminary study to quantify the effect of the IRA measurement on the filtering results by analyzing the amount of information inherent in the IRA measurements. This study gave the information theoretic background of the proposed method. The numerical simulation with synthetic measurements shows that combination of the three measurements have positive interaction information which implies the larger synergy than the redundancy.","PeriodicalId":212068,"journal":{"name":"2017 International Conference on Signals and Systems (ICSigSys)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127224269","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 : 2017-05-01DOI: 10.1109/ICSIGSYS.2017.7967073
Syahfrizal Tahcfulloh, G. Hendrantoro
Phased Multiple-Input Multiple-Output (PMIMO) radar which uses overlapped noncoherent transmit subarrays and noncoherent receive arrays provide better performance in transmit-receive gain and SINR than Phased Array and MIMO radar. This paper shows PMIMO approach which uses a coherent receive array provides the same performance as other radars but is more efficient in its use of matched filters and other processing units. The effectiveness of the approach is analyzed by the results of numerical evaluation.
{"title":"Phased MIMO radar with coherent receive arrays","authors":"Syahfrizal Tahcfulloh, G. Hendrantoro","doi":"10.1109/ICSIGSYS.2017.7967073","DOIUrl":"https://doi.org/10.1109/ICSIGSYS.2017.7967073","url":null,"abstract":"Phased Multiple-Input Multiple-Output (PMIMO) radar which uses overlapped noncoherent transmit subarrays and noncoherent receive arrays provide better performance in transmit-receive gain and SINR than Phased Array and MIMO radar. This paper shows PMIMO approach which uses a coherent receive array provides the same performance as other radars but is more efficient in its use of matched filters and other processing units. The effectiveness of the approach is analyzed by the results of numerical evaluation.","PeriodicalId":212068,"journal":{"name":"2017 International Conference on Signals and Systems (ICSigSys)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132540597","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}
The increasing demand for data usage drives the efforts for higher throughput in telecom and data networks. Having higher throughput helps users to save time. Evidences from existing operators also demonstrate that when subscribers experience higher throughput, their data usage increases which provides a recurring revenue boost. Operators not only enhance user experience and revenue, they also make the most efficient use of their spectrum and infrastructure investments. In this paper some practical methods for throughput optimization are investigated in live networks with variety of vendors - Ericsson, Nokia, Huawei and ZTE. Since the next networks will be a kind of heterogeneous networks then good performance of each technology can contribute to best performance of overall network and lead to subscriber satisfactory.
{"title":"Practical schemes for throughput improvement in live networks","authors":"Mohammad Rasoul Tanhatalab, Seyed Majid Jafari Joor Jadeh, Amirhossein Orouji Esfahani","doi":"10.1109/ICSIGSYS.2017.7967048","DOIUrl":"https://doi.org/10.1109/ICSIGSYS.2017.7967048","url":null,"abstract":"The increasing demand for data usage drives the efforts for higher throughput in telecom and data networks. Having higher throughput helps users to save time. Evidences from existing operators also demonstrate that when subscribers experience higher throughput, their data usage increases which provides a recurring revenue boost. Operators not only enhance user experience and revenue, they also make the most efficient use of their spectrum and infrastructure investments. In this paper some practical methods for throughput optimization are investigated in live networks with variety of vendors - Ericsson, Nokia, Huawei and ZTE. Since the next networks will be a kind of heterogeneous networks then good performance of each technology can contribute to best performance of overall network and lead to subscriber satisfactory.","PeriodicalId":212068,"journal":{"name":"2017 International Conference on Signals and Systems (ICSigSys)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127979949","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 : 2017-05-01DOI: 10.1109/ICSIGSYS.2017.7967076
F. Albu, K. Nishikawa
In this paper, two new kernel adaptive algorithms are proposed. An approximation is used in order to derive the pseudo kernel affine projection algorithm and the pseudo kernel proportionate affine projection algorithm, respectively. The computational efficiency and performance of the proposed algorithms is verified for a nonlinear system identification application.
{"title":"Low complexity kernel affine projection-type algorithms with a coherence criterion","authors":"F. Albu, K. Nishikawa","doi":"10.1109/ICSIGSYS.2017.7967076","DOIUrl":"https://doi.org/10.1109/ICSIGSYS.2017.7967076","url":null,"abstract":"In this paper, two new kernel adaptive algorithms are proposed. An approximation is used in order to derive the pseudo kernel affine projection algorithm and the pseudo kernel proportionate affine projection algorithm, respectively. The computational efficiency and performance of the proposed algorithms is verified for a nonlinear system identification application.","PeriodicalId":212068,"journal":{"name":"2017 International Conference on Signals and Systems (ICSigSys)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114776688","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 : 2017-05-01DOI: 10.1109/ICSIGSYS.2017.7967047
Midhun P Unni, Srinivasan Jayaraman, B. P.
Stress has become a household term for which ascertaining a meaning has become increasingly difficult these days. Physiologically, stress is observed to act through hypothalamus which modulates the autonomic nervous system mainly via sympathetically mediated effects. Utilizing this theory, a model based inference engine was developed for the estimation of stress. A computational model was used to generate a series of synthetic photo-plethysmogram (PPG) signals by varying the model parameters. Now using these artificial generated PPG signals, the inverse problem of estimating the stress parameter ‘FSN’ was solved by a neural network, using Levenberg-Marquardt algorithm. The inference engine was then tested by using real PPG data collected twice (morning and evening) from a set of 13 subjects. As observed in experimental studies, our inference engine was able to replicate the pattern of stress levels i.e., exhibiting high levels of stress in mornings compared to evenings. These results validate the efficiency of the developed inference engine in estimating the stress
{"title":"A model based inference engine for stress estimation","authors":"Midhun P Unni, Srinivasan Jayaraman, B. P.","doi":"10.1109/ICSIGSYS.2017.7967047","DOIUrl":"https://doi.org/10.1109/ICSIGSYS.2017.7967047","url":null,"abstract":"Stress has become a household term for which ascertaining a meaning has become increasingly difficult these days. Physiologically, stress is observed to act through hypothalamus which modulates the autonomic nervous system mainly via sympathetically mediated effects. Utilizing this theory, a model based inference engine was developed for the estimation of stress. A computational model was used to generate a series of synthetic photo-plethysmogram (PPG) signals by varying the model parameters. Now using these artificial generated PPG signals, the inverse problem of estimating the stress parameter ‘FSN’ was solved by a neural network, using Levenberg-Marquardt algorithm. The inference engine was then tested by using real PPG data collected twice (morning and evening) from a set of 13 subjects. As observed in experimental studies, our inference engine was able to replicate the pattern of stress levels i.e., exhibiting high levels of stress in mornings compared to evenings. These results validate the efficiency of the developed inference engine in estimating the stress","PeriodicalId":212068,"journal":{"name":"2017 International Conference on Signals and Systems (ICSigSys)","volume":"666 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123983535","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 : 2017-05-01DOI: 10.1109/ICSIGSYS.2017.7967077
Amna Tehreem, S. G. Khawaja, M. Akram, S. Khan, Muhammad G. Ali
Frequent itemset mining is a fundamental step in analysis of big data where correlation among the raw data in deemed necessary. In modern era the amount of data available for processing has grown exponentially, making it a stepper task for mining algorithms to provide solution in a timely manner. The software implementations are normally not efficient in handling such datasets thus focus on parallel architecture seems imminent. In this paper we propose a Multi-Processor based sequentially unfolded architecture for implementation of FP-Growth algorithm. The proposed framework exploits the inherent parallelism available in the FP-Growth algorithm such that N-processing entities (PEs) can work in a collaborative environment. The processing entities work in an independent manner in parallel and largely interchange data at the close of each iteration. The overall architecture is modular which permits scalability of the design with regards to the number of parallel processing entities. The performance of the framework is evaluated using benchmark datasets and their results show a linear increase in the speedup of our proposed framework with increase in PEs.
{"title":"Parallel architecture for implementation of frequent itemset mining using FP-growth","authors":"Amna Tehreem, S. G. Khawaja, M. Akram, S. Khan, Muhammad G. Ali","doi":"10.1109/ICSIGSYS.2017.7967077","DOIUrl":"https://doi.org/10.1109/ICSIGSYS.2017.7967077","url":null,"abstract":"Frequent itemset mining is a fundamental step in analysis of big data where correlation among the raw data in deemed necessary. In modern era the amount of data available for processing has grown exponentially, making it a stepper task for mining algorithms to provide solution in a timely manner. The software implementations are normally not efficient in handling such datasets thus focus on parallel architecture seems imminent. In this paper we propose a Multi-Processor based sequentially unfolded architecture for implementation of FP-Growth algorithm. The proposed framework exploits the inherent parallelism available in the FP-Growth algorithm such that N-processing entities (PEs) can work in a collaborative environment. The processing entities work in an independent manner in parallel and largely interchange data at the close of each iteration. The overall architecture is modular which permits scalability of the design with regards to the number of parallel processing entities. The performance of the framework is evaluated using benchmark datasets and their results show a linear increase in the speedup of our proposed framework with increase in PEs.","PeriodicalId":212068,"journal":{"name":"2017 International Conference on Signals and Systems (ICSigSys)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117199532","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 : 2017-05-01DOI: 10.1109/ICSIGSYS.2017.7967036
M. Kekelj, N. Bulić, V. Sucic
The paper presents an implementation of the Goertzel algorithm in FPGA (Field Programmable Gate Array) logic as a proposed algorithm utilized in Eddy current NDT (Non-Destructive Testing) instrumentation equipment. The FPGA running a real-time Goertzel algorithm in Eddy current NDT application is a novel approach different from the usual methods; such are the quadrature demodulation and discrete FFT. The paper provides a brief overview of the Eddy current instrument hardware and gives a mathematical background on Eddy current signals. It also shows a real-time implementation of Goertzel algorithm in SoC (system-on-chip; FPGA/ARM based chip) and provides experimental results obtained by using common EC NDT probes. The results are compared to the results of several commercial Eddy current instruments.
{"title":"An FPGA implementation of the Goertzel algorithm in a Non-Destructive Eddy current Testing","authors":"M. Kekelj, N. Bulić, V. Sucic","doi":"10.1109/ICSIGSYS.2017.7967036","DOIUrl":"https://doi.org/10.1109/ICSIGSYS.2017.7967036","url":null,"abstract":"The paper presents an implementation of the Goertzel algorithm in FPGA (Field Programmable Gate Array) logic as a proposed algorithm utilized in Eddy current NDT (Non-Destructive Testing) instrumentation equipment. The FPGA running a real-time Goertzel algorithm in Eddy current NDT application is a novel approach different from the usual methods; such are the quadrature demodulation and discrete FFT. The paper provides a brief overview of the Eddy current instrument hardware and gives a mathematical background on Eddy current signals. It also shows a real-time implementation of Goertzel algorithm in SoC (system-on-chip; FPGA/ARM based chip) and provides experimental results obtained by using common EC NDT probes. The results are compared to the results of several commercial Eddy current instruments.","PeriodicalId":212068,"journal":{"name":"2017 International Conference on Signals and Systems (ICSigSys)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125884577","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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