{"title":"Performance analysis of MC-CDMA system using time-frequency interleave product code","authors":"T. Baba, S. Wada","doi":"10.1109/ISSPA.2005.1580274","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1580274","url":null,"abstract":"In this paper, a Time-Frequency Interleave (TFI) product code is applied to Multi-Carrier Code Division Multiple Access (MC-CDMA) system to improve the quality of communication. The TFI product code consists of iterative Low Density Parity Check (LDPC) code and BCH code with interleaving data on time-frequency plane. The bit error rate increases by the effect of various interference and noise in channel of wireless mobile communications. The conventional LDPC code is not useful for damaged symbol bit estimation when burst error occurred. To overcome the shortcoming of MC-CDMA systems, the product code and time-frequency interleave technique is combined. In the simulations, the performance of MC-CDMA system is analyzed in various noise environments. The effectiveness of the TFI product code used for MC-CDMA system is examined.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115145707","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}
{"title":"Spectral kurtosis optimization for rolling element bearings","authors":"N. Sawalhi, R. Randall","doi":"10.1109/ISSPA.2005.1581069","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1581069","url":null,"abstract":"Spectral kurtosis (SK) represents a valuable tool for extracting transients buried in noise, which makes it very powerful for the diagnostics of rolling element bearings. However, SK requires the selection of a time-frequency frame for decomposition, so that the kurtosis of each frequency slot can be estimated over time. This paper proposes a technique to optimise SK for diagnostics of rolling element bearings. This technique involves two steps. First, the power spectral density of the signal is prewhitened using an autoregressive model. Second, the prewhitened signal (consisting of noise and transients) is decomposed using complex Morlet wavelets. The complex Morlet wavelet is used as a filter bank with constant proportional bandwidth (uniform resolution on a logarithmic frequency scale). Different banks are used to select the best filter for the envelope analysis - in terms of centre frequency and bandwidth - as the one that maximizes the SK.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124809480","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}
{"title":"Estimation of parameters of a polynomial phase model using the warped complex time distributions","authors":"C. Ioana, S. Stankovic, A. Quinquis","doi":"10.1109/ISSPA.2005.1581018","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1581018","url":null,"abstract":"Polynomial modelling of the phases of non-stationary signals has received recently a great deal of attention. The main future of a such model is its capability to characterize accurately a large class of time-frequency non-linearities. The estimation of the polynomial model approximating the phase of a signal is typically based on high-order ambiguity function. Since a polynomial approximation of the phase is involved, two parameters have to be previously estimated. The first one is the most appropriate order of the polynomial model. The second parameter deals with time origin within the polynomial modelling at the “optimal” order remains valid. In this paper, we propose a method to estimate these parameters which define the behaviour of polynomial order. This method is based on the joint used of warping operators and complex time argument concept.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122124893","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}
{"title":"An alternative derivation of the Durbin method for MA spectrum estimation","authors":"Y. Leung","doi":"10.1109/ISSPA.2005.1581083","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1581083","url":null,"abstract":"Durbin’s method is often regarded as the method of choice when estimating the parameters of a moving average (MA) process. In Durbin’s original paper, he derived the method using a statistical approach and showed that it is approximately maximum likelihood. This statistical approach renders the method, however, inaccessible to students without a background in statistical estimation theory. In this paper, we present a non-statistical derivation of the method.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122831245","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}
{"title":"Quantum multi-user detection","authors":"Sheng-mei Zhao, B. Zheng","doi":"10.1109/ISSPA.2005.1580273","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1580273","url":null,"abstract":"Future wired and wireless communication system will employ multi-user detection techniques, however, at this moment there are only suboptimal solutions available because of the rather high complexity of optimal detectors. Quantum detection techniques promise efficient optimal solutions to this NP (non-polynomial) hard problem. In this paper, we propose a novel approach in the multi-access quantum channel based on the quantum rotation algorithm, by which the minimum average probability of error can be obtained. We evaluate the probability of error under various correlation coefficients and signal-to-interference ratio, and compare them to that of classical optimal solution and the quantum solution under quantum Bayesian minimum cost strategy. The simulation results illustrate that the performance of quantum multi-user detection can be improved greatly when quantum rotation algorithm is employed. Meanwhile, much less time overhead is involved in the calculation.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125387039","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}
{"title":"Improved accuracy for colour filter array demosaicking using high order extrapolation","authors":"J. S. J. Li, S. Randhawa","doi":"10.1109/ISSPA.2005.1580263","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1580263","url":null,"abstract":"Demosaicking is a process to determine missing colour values at each pixel when a single-sensor digital camera is used for colour image capture. In this paper, we derived new extrapolation equations to improve the accuracy of demosaicking by including higher order terms of the Taylor series. Our proposed method will produce four direction-oriented estimates of the missing colour value, which will consist of at least one highly accurate approximation for selection as the output. By avoiding interpolation across an edge, our method gives more accurate colour estimation around edges. It has been shown that our method outperforms other techniques in colour accuracy, particularly at the edges of an image.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124625248","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}
{"title":"Pitch estimation for polyphony musical sounds with a percussion sound using resonator-type comb filters","authors":"Tsutomu Saito, Y. Tadokoro","doi":"10.1109/ISSPA.2005.1581016","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1581016","url":null,"abstract":"This paper proposes a new pitch estimation method using resonator-type comb filters ) 1 /( 1 ) ( N z z H − − = for the polyphony musical sounds including a percussion sound. We can estimate one pitch of an input sound by detecting the output having maximum amplitude in twelve resonator-type comb filters connected in parallel. To detect other pitches of a polyphony, we connect one notchtype comb filter N z z H − − = 1 ) ( , that can eliminate the sound of with the pitch detected before, in series to the parallel connected resonator-type comb filters and again detect the maximum output in the parallel resonator-type comb filters. We could obtain a good performance of the pitch estimation using four musical instruments with pitch and six percussions without pitch.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130910540","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}
{"title":"Neonates' EEG spike detection using a time-frequency approach","authors":"P. Zarjam, G. Azemi, B. Boashash","doi":"10.1109/ISSPA.2005.1580226","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1580226","url":null,"abstract":"This paper proposes a new time-frequency (TF) based approach for detecting spikes in newborns' EEG signals. Since the automated detection of spikes in the EEG is an important deal in the diagnosis of epilepsy and is a goal sought by many researchers. in the proposed method, first a TF representation of the EEG epoch is computed and then its average over all frequencies is used to distinguish between the EEG spikes and the background. The method is used in conjunction with a few time-frequency distributions (TFDs) to detect spikes in the EEG signals acquired from 5 neonates, with ages ranging from two days to two weeks. The obtained results show that the short-time Fourier transform (STFT) outperforms the other TFDs with the average detection rate of 96%.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130914031","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}
{"title":"Multiuser detection for time-hopping impulse-radio systems using a low-complexity iterative algorithm","authors":"Bao-Yun Wang, W. Zheng","doi":"10.1109/ISSPA.2005.1580245","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1580245","url":null,"abstract":"Time-hopping impulse radio (TH-IR) systems are very attractive in providing high data rates in multiple access communication channels. By taking advantage of the special signal structure of this kind of systems, one can design an effective multiuser detector. In this paper an iterative multiuser detection (MUD) algorithm is developed for TH-IR systems. The developed MUD algorithm consists of two stages and follows the turbo principle. The novelty of the developed algorithm is that the potential exponential complexity is avoided. Simulation results show that the developed MUD algorithm can achieve satisfactory performances with significantly reduced computational complexity.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124057122","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}
{"title":"Face recognition using 2DLDA algorithm","authors":"Sittinon Kongsontana, Y. Rangsanseri","doi":"10.1109/ISSPA.2005.1581028","DOIUrl":"https://doi.org/10.1109/ISSPA.2005.1581028","url":null,"abstract":"This paper proposes Two–Dimensional Linear Discriminant Analysis (2DLDA) for feature extraction which used for face recognition application. This method is developed from Fisher Linear Discrimnant (FLD) and Two–Dimensional Principle Component Analysis (2DPCA). In this method, 2DLDA directly uses the image matrix to calculate the between-class scatter matrix and within-class scatter matrix. Moreover, 2DLDA will be handling the problem that the within-class scatter matrix maybe singular. The experimental results indicated that the 2DLDA method is more computationally efficient than conventional methods.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124057351","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}