Pub Date : 2011-03-04DOI: 10.1109/CSPA.2011.5759918
K. Ahmad, Z. Saad, N. Abdullah, Z. Hussain, M. H. Mohd Noor
This paper introduce the adaptive kalman filter to modeling dynamic background for background subtraction. Background subtraction is a method to identify object and famous used in moving object segmentation. In this paper we also investigate a comparison study on Gaussian subtraction method, frame differencing method and approximate median method. The detection of object will be shown in the result.
{"title":"Moving vehicle segmentation in a dynamic background using self-adaptive kalman background method","authors":"K. Ahmad, Z. Saad, N. Abdullah, Z. Hussain, M. H. Mohd Noor","doi":"10.1109/CSPA.2011.5759918","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759918","url":null,"abstract":"This paper introduce the adaptive kalman filter to modeling dynamic background for background subtraction. Background subtraction is a method to identify object and famous used in moving object segmentation. In this paper we also investigate a comparison study on Gaussian subtraction method, frame differencing method and approximate median method. The detection of object will be shown in the result.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129673256","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 : 2011-03-04DOI: 10.1109/CSPA.2011.5759874
Intan Maisarah Abd Rahim, F. Mat, S. Yaacob, R. Siregar
This paper focused on experimental data and study for the testing of the material mechanical properties using vibration technique. By applying vibration analysis and testing on the material, we could determine the natural frequencies, the damping ratio and mode shapes of the structure. However, in this study, we only considering the natural frequencies of the material as the input data needed for training. As an extension for the study, the system tested with various method of neural network training algorithm. The Levenberg-Marquardt Backpropagation used as the algorithm in an artificial neural network system developed.
{"title":"Classifying material type and mechanical properties using artificial neural network","authors":"Intan Maisarah Abd Rahim, F. Mat, S. Yaacob, R. Siregar","doi":"10.1109/CSPA.2011.5759874","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759874","url":null,"abstract":"This paper focused on experimental data and study for the testing of the material mechanical properties using vibration technique. By applying vibration analysis and testing on the material, we could determine the natural frequencies, the damping ratio and mode shapes of the structure. However, in this study, we only considering the natural frequencies of the material as the input data needed for training. As an extension for the study, the system tested with various method of neural network training algorithm. The Levenberg-Marquardt Backpropagation used as the algorithm in an artificial neural network system developed.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122611266","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 : 2011-03-04DOI: 10.1109/CSPA.2011.5759890
F. S. Najafabadi, H. Pourghassem
One of the important problems in ceramic tile industry is tiles' quality classification with automatic systems by applying machine instead of human. Tiles' quality can be divided into color analysis, dimension verification, and surface defect detection. It's very difficult for human to control all of them, because of harsh industrial environment with noise, extreme temperature and humidity. In this paper, we present a method for visual inspection of ceramic tile corners. We use a method based on image processing techniques and dot product vectors if angle was more than 92 degree or less than 89 degree. Our ceramic is a defective tile. Our algorithm is evaluated on a set of images which has been taken of a Flaw master system in a tile factory and has 12.5% error in both normal and defective tile. The obtained results show efficiency our approach in corner defect detection.
{"title":"Corner defect detection based on dot product in ceramic tile images","authors":"F. S. Najafabadi, H. Pourghassem","doi":"10.1109/CSPA.2011.5759890","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759890","url":null,"abstract":"One of the important problems in ceramic tile industry is tiles' quality classification with automatic systems by applying machine instead of human. Tiles' quality can be divided into color analysis, dimension verification, and surface defect detection. It's very difficult for human to control all of them, because of harsh industrial environment with noise, extreme temperature and humidity. In this paper, we present a method for visual inspection of ceramic tile corners. We use a method based on image processing techniques and dot product vectors if angle was more than 92 degree or less than 89 degree. Our ceramic is a defective tile. Our algorithm is evaluated on a set of images which has been taken of a Flaw master system in a tile factory and has 12.5% error in both normal and defective tile. The obtained results show efficiency our approach in corner defect detection.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131833370","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 : 2011-03-04DOI: 10.1109/CSPA.2011.5759920
Z. Janin, Z. Yusuf, M. Taib
This paper is to investigate the best PID control structure for controlling the glycerin bleaching process that would improve the bleached glycerin quality. An ideal and alternative PID control structures is analyzed. The controller parameters are adjusted based on Wang's tuning method and compared to Ziegler-Nichols method. The system performance is evaluated in terms of settling time and percent overshoot. The results showed that the glycerin bleaching process control can best achieve using alternative PID control structure with Ziegler-Nichols tuning.
{"title":"PID control structure for glycerin bleaching process: A comparative study","authors":"Z. Janin, Z. Yusuf, M. Taib","doi":"10.1109/CSPA.2011.5759920","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759920","url":null,"abstract":"This paper is to investigate the best PID control structure for controlling the glycerin bleaching process that would improve the bleached glycerin quality. An ideal and alternative PID control structures is analyzed. The controller parameters are adjusted based on Wang's tuning method and compared to Ziegler-Nichols method. The system performance is evaluated in terms of settling time and percent overshoot. The results showed that the glycerin bleaching process control can best achieve using alternative PID control structure with Ziegler-Nichols tuning.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130335707","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 : 2011-03-04DOI: 10.1109/CSPA.2011.5759900
S. N. bt Bohari, Abdul Rauf Abdul Rasam, I. Maarof, R. Ghazali, A. Samad
High and accelerating rates of the urban changes and the urban area growth especially in developing countries needs for efficient and fast techniques for map production and revision with the appropriate accuracy. The used of high resolution with ground resolution had changed mapping perception due to its unique characteristics and have a good potential as a data sources for map production. Thus, the mapping potentials of the single IKONOS image had been thoroughly examined on 2D geometric accuracy assessment. Based on overall evaluation, it is found the amount of error and the entire image is have a good geometric planimetric accuracy that regardless to its standard requirement and it is suggested and recommended to be used for large scale map production. Otherwise, the experience gain from this research will eventually highlight the future role of existing technology towards the mapping production in large scale specification for various mapping applications and also may contribute significantly to the topographical data collection process.
{"title":"Potential of single orthorectified of high resolution satellite image (Ikonos) for large scale mapping","authors":"S. N. bt Bohari, Abdul Rauf Abdul Rasam, I. Maarof, R. Ghazali, A. Samad","doi":"10.1109/CSPA.2011.5759900","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759900","url":null,"abstract":"High and accelerating rates of the urban changes and the urban area growth especially in developing countries needs for efficient and fast techniques for map production and revision with the appropriate accuracy. The used of high resolution with ground resolution had changed mapping perception due to its unique characteristics and have a good potential as a data sources for map production. Thus, the mapping potentials of the single IKONOS image had been thoroughly examined on 2D geometric accuracy assessment. Based on overall evaluation, it is found the amount of error and the entire image is have a good geometric planimetric accuracy that regardless to its standard requirement and it is suggested and recommended to be used for large scale map production. Otherwise, the experience gain from this research will eventually highlight the future role of existing technology towards the mapping production in large scale specification for various mapping applications and also may contribute significantly to the topographical data collection process.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114740079","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 : 2011-03-04DOI: 10.1109/CSPA.2011.5759926
S. Shahidan, N. Md Nor, N. M. Bunnori
This paper summarized two types of modern Acoustic Emission Analysis (AEA) for damage detection of reinforced concrete (RC) structure beneficially to accelerate analysis part particularly for newly researcher; namely wavelet and b-value analyses. Both methods are based on analysing of acoustic emission (AE) signals. The concept and significant of these methods also have been described in detail to give clear picture regarding to the structural performance assessment. The derivation of specific formulas and case studies based on other researchers work also included to prove the applicability and effectiveness of the chosen AE analyses. Applications of these AE analyses in RC structure also have been discussed and future research work has been recommended.
{"title":"Analysis methods of Acoustic Emission signal for monitoring of reinforced concrete structure: A review","authors":"S. Shahidan, N. Md Nor, N. M. Bunnori","doi":"10.1109/CSPA.2011.5759926","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759926","url":null,"abstract":"This paper summarized two types of modern Acoustic Emission Analysis (AEA) for damage detection of reinforced concrete (RC) structure beneficially to accelerate analysis part particularly for newly researcher; namely wavelet and b-value analyses. Both methods are based on analysing of acoustic emission (AE) signals. The concept and significant of these methods also have been described in detail to give clear picture regarding to the structural performance assessment. The derivation of specific formulas and case studies based on other researchers work also included to prove the applicability and effectiveness of the chosen AE analyses. Applications of these AE analyses in RC structure also have been discussed and future research work has been recommended.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125511742","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 : 2011-03-04DOI: 10.1109/CSPA.2011.5759912
S. Jerritta, M. Murugappan, R. Nagarajan, K. Wan
Recent research in the field of Human Computer Interaction aims at recognizing the user's emotional state in order to provide a smooth interface between humans and computers. This would make life easier and can be used in vast applications involving areas such as education, medicine etc. Human emotions can be recognized by several approaches such as gesture, facial images, physiological signals and neuro imaging methods. Most of the researchers have developed user dependent emotion recognition system and achieved maximum classification rate. Very few researchers have tried to develop a user independent system and obtained lower classification rate. Efficient emotion stimulus method, larger data samples and intelligent signal processing techniques are essential for improving the classification rate of the user independent system. In this paper, we present a review on emotion recognition using physiological signals. The various theories on emotion, emotion recognition methodology and the current advancements in emotion research are discussed in subsequent topics. This would provide an insight on the current state of research and its challenges on emotion recognition using physiological signals, so that research can be advanced to obtain better recognition.
{"title":"Physiological signals based human emotion Recognition: a review","authors":"S. Jerritta, M. Murugappan, R. Nagarajan, K. Wan","doi":"10.1109/CSPA.2011.5759912","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759912","url":null,"abstract":"Recent research in the field of Human Computer Interaction aims at recognizing the user's emotional state in order to provide a smooth interface between humans and computers. This would make life easier and can be used in vast applications involving areas such as education, medicine etc. Human emotions can be recognized by several approaches such as gesture, facial images, physiological signals and neuro imaging methods. Most of the researchers have developed user dependent emotion recognition system and achieved maximum classification rate. Very few researchers have tried to develop a user independent system and obtained lower classification rate. Efficient emotion stimulus method, larger data samples and intelligent signal processing techniques are essential for improving the classification rate of the user independent system. In this paper, we present a review on emotion recognition using physiological signals. The various theories on emotion, emotion recognition methodology and the current advancements in emotion research are discussed in subsequent topics. This would provide an insight on the current state of research and its challenges on emotion recognition using physiological signals, so that research can be advanced to obtain better recognition.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121307178","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 : 2011-03-04DOI: 10.1109/CSPA.2011.5759879
I. Isa, Belinda Chong Chiew Meng, Z. Saad, N. A. Fauzi
This paper presents the performances of Proportional (P), proportional-integral (PI) and proportional-integral-derivative (PID) modes controller to control an automatic water level control system. This project is developed to verify the performance of water level control system using PID control modes. The measurements of water level control system were collected from process plant which is located at Process Laboratory, UiTM Pulau Pinang. The measurements that have been carried out were analyzed based on three modes controlled that are Proportional, Proportional-Integral and Proportional-Integral-Derivative. The response of each control mode has been determined to identify the time constant, rise time, peak time and percentage overshoot. The evaluation of the output has been carried out and compared by software simulation using MATLAB toolbox. The results indicate that measured data and simulated data were showing a similarity in the responses and time constant.
{"title":"Comparative study of PID controlled modes on automatic water level measurement system","authors":"I. Isa, Belinda Chong Chiew Meng, Z. Saad, N. A. Fauzi","doi":"10.1109/CSPA.2011.5759879","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759879","url":null,"abstract":"This paper presents the performances of Proportional (P), proportional-integral (PI) and proportional-integral-derivative (PID) modes controller to control an automatic water level control system. This project is developed to verify the performance of water level control system using PID control modes. The measurements of water level control system were collected from process plant which is located at Process Laboratory, UiTM Pulau Pinang. The measurements that have been carried out were analyzed based on three modes controlled that are Proportional, Proportional-Integral and Proportional-Integral-Derivative. The response of each control mode has been determined to identify the time constant, rise time, peak time and percentage overshoot. The evaluation of the output has been carried out and compared by software simulation using MATLAB toolbox. The results indicate that measured data and simulated data were showing a similarity in the responses and time constant.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125204625","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 : 2011-03-04DOI: 10.1109/CSPA.2011.5759880
Z. Saad, M. K. Osman, S. Omar, M. Y. Mashor
The aim of this research is to develop an intelligent automated online forecasting of a car fuel consumption using neural network and classified it into classes of driving style. A new online monitoring tool was developed to acquire and analyze data collected from a car for the purpose of fuel consumption modelling and forecasting. The data was transmitted via ECU Can Bus attach to the car to the automotive single board computer. The online monitoring and forecasting tools were developed by using 8-bit Single-Chip Microcontroller as a data acquisition processor. Distance, speed, revolution, fuel flow, fuel consumption and temperature transducer are taped from the experimented car to gain the information. The multilayered perceptron network trained by Levenberg-Marquardt algorithm was selected as a black box model for forecasting purposes. The input variables were taped from car sensors. The data set consists of 2000 data samples. The first 1000 data were used for training and the rest were used in validation and forecasting process. Based on the best network execution, it was found that the best MSE during validation phase is about 0.0804 produced at the 26 hidden neurons. The results of the forecasting during training obviously show that during the first 200 data series the forecasting error is quite high but after 200 data series the neural network model have a tendency to improve quickly and forecast slightly the real value of the injected fuel flow.
{"title":"Modeling and forecasting of injected fuel flow using neural network","authors":"Z. Saad, M. K. Osman, S. Omar, M. Y. Mashor","doi":"10.1109/CSPA.2011.5759880","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759880","url":null,"abstract":"The aim of this research is to develop an intelligent automated online forecasting of a car fuel consumption using neural network and classified it into classes of driving style. A new online monitoring tool was developed to acquire and analyze data collected from a car for the purpose of fuel consumption modelling and forecasting. The data was transmitted via ECU Can Bus attach to the car to the automotive single board computer. The online monitoring and forecasting tools were developed by using 8-bit Single-Chip Microcontroller as a data acquisition processor. Distance, speed, revolution, fuel flow, fuel consumption and temperature transducer are taped from the experimented car to gain the information. The multilayered perceptron network trained by Levenberg-Marquardt algorithm was selected as a black box model for forecasting purposes. The input variables were taped from car sensors. The data set consists of 2000 data samples. The first 1000 data were used for training and the rest were used in validation and forecasting process. Based on the best network execution, it was found that the best MSE during validation phase is about 0.0804 produced at the 26 hidden neurons. The results of the forecasting during training obviously show that during the first 200 data series the forecasting error is quite high but after 200 data series the neural network model have a tendency to improve quickly and forecast slightly the real value of the injected fuel flow.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131011663","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 : 2011-03-04DOI: 10.1109/CSPA.2011.5759844
K. N. Tahar, A. Ahmad
This paper discusses about the use of low cost digital camera or known as non metric camera as photogrammetry tool for speeding up the process of acquiring aerial data. Digital camera can also be categorized as non metric camera. In photogrammetry, digital camera has been used for many diversified applications either in aerial photogrammetry or close range photogrammetry. The digital camera also has the potential to be used for landslide mapping and monitoring. In this study, a low cost digital camera has been used to acquire digital images of a simulated model build from sand and cement (dimension of 1m × 3m) which represent some form of topographic surface. In the simulated model, an area was excavated to simulate landslide occur in the area. The acquired digital images of the simulated model were then processed using photogrammetric technique to the final photogrammetric output that is the digital orthophoto. The digital camera used is of high resolution and suitable for large scale mapping which does not involve large study area, require moderate accuracy and limited budget. The objective of this study is to investigate the capability of a low cost digital camera in generating three dimensional models, digital elevation model (DEM) and finally the digital orthophoto. The other objective of this study is to investigate whether the data captured using the digital camera can be used for volume determination that was excavated from an area in the simulated model. The results of the study showed that the low cost digital camera is capable of producing digital orthophoto and capable of determining the excavated volume of the simulated model.
{"title":"Capability of low cost digital camera for production of orthophoto and volume determination","authors":"K. N. Tahar, A. Ahmad","doi":"10.1109/CSPA.2011.5759844","DOIUrl":"https://doi.org/10.1109/CSPA.2011.5759844","url":null,"abstract":"This paper discusses about the use of low cost digital camera or known as non metric camera as photogrammetry tool for speeding up the process of acquiring aerial data. Digital camera can also be categorized as non metric camera. In photogrammetry, digital camera has been used for many diversified applications either in aerial photogrammetry or close range photogrammetry. The digital camera also has the potential to be used for landslide mapping and monitoring. In this study, a low cost digital camera has been used to acquire digital images of a simulated model build from sand and cement (dimension of 1m × 3m) which represent some form of topographic surface. In the simulated model, an area was excavated to simulate landslide occur in the area. The acquired digital images of the simulated model were then processed using photogrammetric technique to the final photogrammetric output that is the digital orthophoto. The digital camera used is of high resolution and suitable for large scale mapping which does not involve large study area, require moderate accuracy and limited budget. The objective of this study is to investigate the capability of a low cost digital camera in generating three dimensional models, digital elevation model (DEM) and finally the digital orthophoto. The other objective of this study is to investigate whether the data captured using the digital camera can be used for volume determination that was excavated from an area in the simulated model. The results of the study showed that the low cost digital camera is capable of producing digital orthophoto and capable of determining the excavated volume of the simulated model.","PeriodicalId":282179,"journal":{"name":"2011 IEEE 7th International Colloquium on Signal Processing and its Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122126181","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：