Pub Date : 2004-09-27DOI: 10.1109/ISCCSP.2004.1296479
H. Seddik, A. Rahmouni, M. Sayadi
Modern speaker recognition applications require high accuracy at low complexity and easy calculation. In this paper, we propose a new method of text independent speaker recognition based on the use of the mean of the Mel frequency cepstral coefficients (MFCC) as a speaker model. These MFCC are extracted from the speaker phonemes in the pre-segmented speech sentences. A multi-layer neural network trained with the back propagation algorithm is proposed to classify these discriminative models. A study is carried out in order to view these models efficiency. Several experiments are made and show that the proposed method gives a high speaker recognition rate. Furthermore, throw these experiments; a technique is proposed to improve this recognition rate by an appropriate phonemes database selection.
{"title":"Text independent speaker recognition using the Mel frequency cepstral coefficients and a neural network classifier","authors":"H. Seddik, A. Rahmouni, M. Sayadi","doi":"10.1109/ISCCSP.2004.1296479","DOIUrl":"https://doi.org/10.1109/ISCCSP.2004.1296479","url":null,"abstract":"Modern speaker recognition applications require high accuracy at low complexity and easy calculation. In this paper, we propose a new method of text independent speaker recognition based on the use of the mean of the Mel frequency cepstral coefficients (MFCC) as a speaker model. These MFCC are extracted from the speaker phonemes in the pre-segmented speech sentences. A multi-layer neural network trained with the back propagation algorithm is proposed to classify these discriminative models. A study is carried out in order to view these models efficiency. Several experiments are made and show that the proposed method gives a high speaker recognition rate. Furthermore, throw these experiments; a technique is proposed to improve this recognition rate by an appropriate phonemes database selection.","PeriodicalId":146713,"journal":{"name":"First International Symposium on Control, Communications and Signal Processing, 2004.","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133327450","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 : 2004-09-27DOI: 10.1109/ISCCSP.2004.1296247
S. Benedetto
Summary form only given. This paper presents in a tutorial from a survey of the recent, powerful error correcting coding techniques know as "turbo-like" codes. Based on the concatenation of two convolutional encoders and an interleaver, and endowed with a relatively simple iterative decoding algorithm, these codes have revolutionized the coding field, showing that performance very close to the Shannon theoretical capacity limits with limited hardware complexity. The presentation focuses on the analysis, design, and applications of this important class of codes.
{"title":"Advanced error correcting coding techniques and iterative decoding","authors":"S. Benedetto","doi":"10.1109/ISCCSP.2004.1296247","DOIUrl":"https://doi.org/10.1109/ISCCSP.2004.1296247","url":null,"abstract":"Summary form only given. This paper presents in a tutorial from a survey of the recent, powerful error correcting coding techniques know as \"turbo-like\" codes. Based on the concatenation of two convolutional encoders and an interleaver, and endowed with a relatively simple iterative decoding algorithm, these codes have revolutionized the coding field, showing that performance very close to the Shannon theoretical capacity limits with limited hardware complexity. The presentation focuses on the analysis, design, and applications of this important class of codes.","PeriodicalId":146713,"journal":{"name":"First International Symposium on Control, Communications and Signal Processing, 2004.","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133730016","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 : 2004-09-27DOI: 10.1109/ISCCSP.2004.1296338
S. Poyhonen, P. Jover, H. Hyotyniemi
Vibration monitoring is studied for fault diagnostics of an induction motor. Several features of vibration signals are compared as indicators of broken rotor bar of a 35 kW induction motor. Regular fast Fourier transform (FFT) based power spectrum density (PSD) estimation is compared to signal processing with higher order spectra (HOS), cepstrum analysis and signal description with autoregressive (AR) modelling. The fault detection routine and feature comparison is carried out with support vector machine (SVM) based classification. The best method for feature extraction seems to be the application of AR coefficients. The result is found out with real measurement data from several motor conditions and load situations.
{"title":"Signal processing of vibrations for condition monitoring of an induction motor","authors":"S. Poyhonen, P. Jover, H. Hyotyniemi","doi":"10.1109/ISCCSP.2004.1296338","DOIUrl":"https://doi.org/10.1109/ISCCSP.2004.1296338","url":null,"abstract":"Vibration monitoring is studied for fault diagnostics of an induction motor. Several features of vibration signals are compared as indicators of broken rotor bar of a 35 kW induction motor. Regular fast Fourier transform (FFT) based power spectrum density (PSD) estimation is compared to signal processing with higher order spectra (HOS), cepstrum analysis and signal description with autoregressive (AR) modelling. The fault detection routine and feature comparison is carried out with support vector machine (SVM) based classification. The best method for feature extraction seems to be the application of AR coefficients. The result is found out with real measurement data from several motor conditions and load situations.","PeriodicalId":146713,"journal":{"name":"First International Symposium on Control, Communications and Signal Processing, 2004.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125146481","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 : 2004-09-27DOI: 10.1109/ISCCSP.2004.1296321
S. Matta, D.K. Kumar, Xinghuo Yu, M. Burry
This paper presents a new approach for image to sound mapping. The proposed method utilizes the music parameters such as pitch and rhythm to support translation of images into sounds. Many people have tried image-to-sound mapping or data-to-sound mapping and failed to prove the useful results and many people haven't followed the principles of psychoacoustics in implementing image to sound conversion methods. The important bottleneck in these kinds of experiments is that humans can't remember the normal sounds as compared to music. A method is developed to overcome this bottleneck by utilizing musical parameters. Most of the available tools have been tested on the participants and it has been discovered that the technology available to convert data streams into sounds was not sufficient and needed an improvement.
{"title":"An approach for image sonification","authors":"S. Matta, D.K. Kumar, Xinghuo Yu, M. Burry","doi":"10.1109/ISCCSP.2004.1296321","DOIUrl":"https://doi.org/10.1109/ISCCSP.2004.1296321","url":null,"abstract":"This paper presents a new approach for image to sound mapping. The proposed method utilizes the music parameters such as pitch and rhythm to support translation of images into sounds. Many people have tried image-to-sound mapping or data-to-sound mapping and failed to prove the useful results and many people haven't followed the principles of psychoacoustics in implementing image to sound conversion methods. The important bottleneck in these kinds of experiments is that humans can't remember the normal sounds as compared to music. A method is developed to overcome this bottleneck by utilizing musical parameters. Most of the available tools have been tested on the participants and it has been discovered that the technology available to convert data streams into sounds was not sufficient and needed an improvement.","PeriodicalId":146713,"journal":{"name":"First International Symposium on Control, Communications and Signal Processing, 2004.","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129126232","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 : 2004-09-27DOI: 10.1109/ISCCSP.2004.1296290
V. Pirajnanchai, S. Luangphakorn, J. Nakasuwan, K. Janchitrapongvej
It has been known that a given single or more op-amps RC sinusoidal oscillator has four distinctly different, equivalent, and stable forms. [R. Senani, Sept. 1987] [N. Boutin, Dec. 1984]. This paper's different structure have been proposed to overcome the frequency limitations associated with uniformly distributed RC line (UR Cs) network and single pole amplifier based adjustable frequency sinusoidal oscillator. The simulation and experimental results are in reasonably good agreement with the theories and have very low harmonic distortion. This circuit can be suitable for LSI process fabrication.
已知给定的单个或多个运放RC正弦振荡器具有四种明显不同的等效和稳定形式。(R。[j]。Boutin, december 1984]。本文提出了一种不同的结构，以克服均匀分布RC线(UR c)网络和基于可调频率正弦振荡器的单极放大器的频率限制。仿真和实验结果与理论吻合较好，谐波失真很小。该电路可适用于大规模集成电路工艺制造。
{"title":"Novel technique using single pole amplifier in sinewave oscillator","authors":"V. Pirajnanchai, S. Luangphakorn, J. Nakasuwan, K. Janchitrapongvej","doi":"10.1109/ISCCSP.2004.1296290","DOIUrl":"https://doi.org/10.1109/ISCCSP.2004.1296290","url":null,"abstract":"It has been known that a given single or more op-amps RC sinusoidal oscillator has four distinctly different, equivalent, and stable forms. [R. Senani, Sept. 1987] [N. Boutin, Dec. 1984]. This paper's different structure have been proposed to overcome the frequency limitations associated with uniformly distributed RC line (UR Cs) network and single pole amplifier based adjustable frequency sinusoidal oscillator. The simulation and experimental results are in reasonably good agreement with the theories and have very low harmonic distortion. This circuit can be suitable for LSI process fabrication.","PeriodicalId":146713,"journal":{"name":"First International Symposium on Control, Communications and Signal Processing, 2004.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133553844","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 : 2004-09-27DOI: 10.1109/ISCCSP.2004.1296269
A. Elloumi, Z. Lachiri, N. Ellouze
This paper proposes a new fetal electrocardiogram (FECG) extraction method using two pass pitch synchronous wavelet transform (PSWT). This representation is based on a modelling concept which is able to capture period to period fluctuations of the signal by means of basis elements that are comb-like in the frequency domain. The essence of the two pass approach involves first estimating the maternal ECG from a corrupted abdominal cutaneaous recording using a pitch synchronous decomposition. Based on this estimation, a second iteration is performed in order to recover the desired fetal ECG components. The performance of the proposed technique is evaluated on a variety of ECG signals. Experimental results show the accuracy of the proposed technique especially in low fetal ECG power circumstance.
{"title":"Pitch synchronous wavelet based fetal ECG extraction","authors":"A. Elloumi, Z. Lachiri, N. Ellouze","doi":"10.1109/ISCCSP.2004.1296269","DOIUrl":"https://doi.org/10.1109/ISCCSP.2004.1296269","url":null,"abstract":"This paper proposes a new fetal electrocardiogram (FECG) extraction method using two pass pitch synchronous wavelet transform (PSWT). This representation is based on a modelling concept which is able to capture period to period fluctuations of the signal by means of basis elements that are comb-like in the frequency domain. The essence of the two pass approach involves first estimating the maternal ECG from a corrupted abdominal cutaneaous recording using a pitch synchronous decomposition. Based on this estimation, a second iteration is performed in order to recover the desired fetal ECG components. The performance of the proposed technique is evaluated on a variety of ECG signals. Experimental results show the accuracy of the proposed technique especially in low fetal ECG power circumstance.","PeriodicalId":146713,"journal":{"name":"First International Symposium on Control, Communications and Signal Processing, 2004.","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133891787","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 : 2004-09-27DOI: 10.1109/ISCCSP.2004.1296498
O. Benrhouma, A. Bouallègue, S. Houcke
Recently the space-time codes were introduced. They allow significant profits of performances (J. Foschini et al., March 1996) (V. Tarokh et al., 1998,1999). They consist in using several transmitting antennas and sending the signal on sensor network. The transmitted information is then coded differently on each of the sending antennas. Thus, relevant codes could be highlighted for Rayleigh channels. When the channel is very dispersive, it is impossible to use space-time codes developed within the framework of numerical communications on Rayleigh channel. In this paper, we propose a new method (without training sequence) allowing to take part of emission diversity in the numerical communication context on multipath channels. A communication system having 2 emitting antennas and P received antennas over a frequency selective channel is implemented. Each antenna send the same information but coded differently. The problem is then identified as a sensor blind separation problem : it consists in emitting the transmitted symbols sent by the first antenna and those sent by the second antenna.
最近介绍了空时码。他们允许演出获得可观的利润(J. Foschini et al.， 1996年3月)(V. Tarokh et al.， 1998,1999)。它们包括使用多个发射天线在传感器网络上发送信号。然后在每个发送天线上对传输的信息进行不同的编码。因此，对于瑞利信道，可以突出显示相关代码。当信道色散非常大时，在瑞利信道上使用数字通信框架内开发的空时码是不可能的。在本文中，我们提出了一种新的方法(不需要训练序列)，允许在多径信道上的数字通信环境中吸收部分发射分集。本发明实现一种在频率选择信道上具有2个发射天线和P个接收天线的通信系统。每个天线发送相同的信息，但编码不同。然后将该问题确定为传感器盲分离问题:它包括发射由第一天线发送的发射符号和由第二天线发送的发射符号。
{"title":"A new method of source separation problems: turbo deflation","authors":"O. Benrhouma, A. Bouallègue, S. Houcke","doi":"10.1109/ISCCSP.2004.1296498","DOIUrl":"https://doi.org/10.1109/ISCCSP.2004.1296498","url":null,"abstract":"Recently the space-time codes were introduced. They allow significant profits of performances (J. Foschini et al., March 1996) (V. Tarokh et al., 1998,1999). They consist in using several transmitting antennas and sending the signal on sensor network. The transmitted information is then coded differently on each of the sending antennas. Thus, relevant codes could be highlighted for Rayleigh channels. When the channel is very dispersive, it is impossible to use space-time codes developed within the framework of numerical communications on Rayleigh channel. In this paper, we propose a new method (without training sequence) allowing to take part of emission diversity in the numerical communication context on multipath channels. A communication system having 2 emitting antennas and P received antennas over a frequency selective channel is implemented. Each antenna send the same information but coded differently. The problem is then identified as a sensor blind separation problem : it consists in emitting the transmitted symbols sent by the first antenna and those sent by the second antenna.","PeriodicalId":146713,"journal":{"name":"First International Symposium on Control, Communications and Signal Processing, 2004.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132746100","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 : 2004-09-27DOI: 10.1109/ISCCSP.2004.1296480
B. brahim, K. Ouni, N. Ellouze
In this paper we present a study of the temporal and spectral human auditory masking phenomena for speech signal analysis. For the purpose of modeling these masking phenomena, we used a gammachirp filterbank [T. Irino and M. Unoki, Nov. 1999], [T. Irino, 1999] to model the spectral masking and a temporal window to model the temporal masking. A global model combining these two models was built for a spectro-temporal representation. We performed a comparison of two types of spectro-temporal representations called gammagrams. The first one is based only on a gammachirp filterbank and the second is based on the global model. In addition, we performed some series of tests on different speech signals for establishing examples of masking effect curves.
{"title":"A time frequency representations of speech signals based on a modeling of the auditory system: the gammagrams","authors":"B. brahim, K. Ouni, N. Ellouze","doi":"10.1109/ISCCSP.2004.1296480","DOIUrl":"https://doi.org/10.1109/ISCCSP.2004.1296480","url":null,"abstract":"In this paper we present a study of the temporal and spectral human auditory masking phenomena for speech signal analysis. For the purpose of modeling these masking phenomena, we used a gammachirp filterbank [T. Irino and M. Unoki, Nov. 1999], [T. Irino, 1999] to model the spectral masking and a temporal window to model the temporal masking. A global model combining these two models was built for a spectro-temporal representation. We performed a comparison of two types of spectro-temporal representations called gammagrams. The first one is based only on a gammachirp filterbank and the second is based on the global model. In addition, we performed some series of tests on different speech signals for establishing examples of masking effect curves.","PeriodicalId":146713,"journal":{"name":"First International Symposium on Control, Communications and Signal Processing, 2004.","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115607416","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 : 2004-09-27DOI: 10.1109/ISCCSP.2004.1296263
A. Cetin, H. Ozaktus, H.M. Ozaktus
The fractional Fourier transform has found many applications in signal and image processing and optics. An iterative algorithm for signal recovery from partial fractional Fourier transform information is presented. The signal recovery algorithm is constructed by using the method of projections onto convex sets and convergence of the algorithm is assured.
{"title":"Signal recovery from partial fractional Fourier transform information","authors":"A. Cetin, H. Ozaktus, H.M. Ozaktus","doi":"10.1109/ISCCSP.2004.1296263","DOIUrl":"https://doi.org/10.1109/ISCCSP.2004.1296263","url":null,"abstract":"The fractional Fourier transform has found many applications in signal and image processing and optics. An iterative algorithm for signal recovery from partial fractional Fourier transform information is presented. The signal recovery algorithm is constructed by using the method of projections onto convex sets and convergence of the algorithm is assured.","PeriodicalId":146713,"journal":{"name":"First International Symposium on Control, Communications and Signal Processing, 2004.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121242776","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 : 2004-09-27DOI: 10.1109/ISCCSP.2004.1296212
O. Akay, E. Erozden
In the recent past, fractional cross-correlation and autocorrelation operations associated with the fractional Fourier transform (FrFT) have been formulated. A detection statistic based on fractional autocorrelation has been employed for detection of linear frequency modulated (LFM) signals. In this paper, we extend the utility of the detection statistic based on fractional autocorrelation for detection of pulse compression radar waveforms. In particular, we consider the step LFM signal and the waveforms of Frank code and P4 code.
{"title":"Use of fractional autocorrelation in efficient detection of pulse compression radar signals","authors":"O. Akay, E. Erozden","doi":"10.1109/ISCCSP.2004.1296212","DOIUrl":"https://doi.org/10.1109/ISCCSP.2004.1296212","url":null,"abstract":"In the recent past, fractional cross-correlation and autocorrelation operations associated with the fractional Fourier transform (FrFT) have been formulated. A detection statistic based on fractional autocorrelation has been employed for detection of linear frequency modulated (LFM) signals. In this paper, we extend the utility of the detection statistic based on fractional autocorrelation for detection of pulse compression radar waveforms. In particular, we consider the step LFM signal and the waveforms of Frank code and P4 code.","PeriodicalId":146713,"journal":{"name":"First International Symposium on Control, Communications and Signal Processing, 2004.","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121356310","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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