{"title":"Independent component analysis based single channel speech enhancement","authors":"L. Hong, J. Rosca, R. Balan","doi":"10.1109/ISSPIT.2003.1341173","DOIUrl":"https://doi.org/10.1109/ISSPIT.2003.1341173","url":null,"abstract":"Hands-free use of phones and voice navigation is the preferred solution in cars. However, the car environment is noisy and often-times noise substantially degrades intelligibility of speech. We propose a single channel algorithm to reduce car noise. The approach employs two phases. First, independent component analysis (ICA) is applied to a large ensemble of clean speech training frames to reveal their underlying statistically independent basis. The distribution of the ICA transformed data is estimated in the training phase. It is required for computing the covariance matrix of the ICA transformed speech data used in the operational phase. Second, a Wiener filter is applied to estimate the clean speech from the received noisy speech. The Wiener filter minimizes the mean-square error between the estimated signal and the clean speech signal in the ICA domain. An inverse transformation from ICA domain back to time domain reconstructs the enhanced signal. Extensive experiments show considerable noise reduction capability of the proposed algorithm. The evaluation is performed with respect to four objective quality measure criteria.","PeriodicalId":332887,"journal":{"name":"Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126489068","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}
S. Yimman, W. Hinjit, S. Sriboonsong, M. Puangpool, K. Dejhan
{"title":"IIR notch filter design with modified pole-zero placement algorithm","authors":"S. Yimman, W. Hinjit, S. Sriboonsong, M. Puangpool, K. Dejhan","doi":"10.1109/ISSPIT.2003.1341247","DOIUrl":"https://doi.org/10.1109/ISSPIT.2003.1341247","url":null,"abstract":"The following paper presents the design and implementation of IIR notch filter with modified pole-zero placement algorithm. The proposed modified algorithm is derived from the least square estimation to change the pole position and find the estimated values of coefficients to control the new gain level of the pass-band. The results from the algorithm are shown, the algorithm could control the pass-band gain of the notch filter according to the specifications. The result has been simulated by using MATLAB.","PeriodicalId":332887,"journal":{"name":"Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122498361","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":"Introducing space sampling for OFDM systems with multipath diversity","authors":"G V Rangaraj, D. Jalihal, K. Giridhar","doi":"10.1109/ISSPIT.2003.1341149","DOIUrl":"https://doi.org/10.1109/ISSPIT.2003.1341149","url":null,"abstract":"Multiple receive antennas are known to provide receiver diversity but typically require considerable separation between them. We introduce the concept of space sampling at the receiver where antennas are placed relatively close to each other. Since the antennas are close, the samples are highly spatially correlated and does not help in performance improvement in a typical wireless system with flat fading. However, this concept is very useful particularly in an OFDM system with frequency selective fading which has an inherent multipath diversity. Under these circumstances, the required space diversity for performance improvement is obtained by the transformation of multipath diversity to useful space diversity in frequency domain inherently by an OFDM system (G. V. Rangaraj et al., June 2003). The minimum separation required between the antennas under such circumstances is derived analytically and we have show that even with a separation of only 0.44/spl lambda/, the required spatial correlation in the frequency domain becomes sufficiently low.","PeriodicalId":332887,"journal":{"name":"Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115185622","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":"Application of the self-organizing map to manual automotive transmission","authors":"P. Večeř, M. Kreidl, R. Smid","doi":"10.1109/ISSPIT.2003.1341195","DOIUrl":"https://doi.org/10.1109/ISSPIT.2003.1341195","url":null,"abstract":"In recent years, research in the gearbox diagnostics has been done on the computation of threshold values for existing condition features, enabling the use of simple classification methods. This paper describes the application of advanced classification methods in gearbox diagnostics. Time domain signal evaluation is transformed to a vector classification problem. A vector composed of three amplitude features (the root mean square, skewness and kurtosis) of the synchronously averaged vibration signal, is computed for each tested gearbox. The classification is based on the self-organizing feature map algorithm (Kohonen neural network). A database containing vibration signals from four manual automotive transmissions has been used to test the performance of the proposed system. The results obtained using this approach, demonstrate the ability to discriminate among various types of fault.","PeriodicalId":332887,"journal":{"name":"Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115223920","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":"Forward and backward LP ELS-based time-varying complex speech analysis based on output error method","authors":"K. Funaki","doi":"10.1109/ISSPIT.2003.1341227","DOIUrl":"https://doi.org/10.1109/ISSPIT.2003.1341227","url":null,"abstract":"We have already proposed the ELS-based time-varying complex AR (TV-CAR) speech analysis based on forward LP as well as forward and backward LP in which the equation error is modeled by an AR model to whiten the error. The methods are based on an equation error method and can estimate unbiased speech spectrum due to the whitened equation error. It can be considered that these speech analysis methods may be suitable for a front-end of robust speech recognition and packet loss concealment on VoIP. This paper presents output error based ELS TV-CAR speech analysis algorithm and compares the performance with the equation error based method.","PeriodicalId":332887,"journal":{"name":"Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131687620","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":"Efficient approximate-ML detection for MIMO spatial multiplexing systems by using a 1-D nearest neighbor search","authors":"D. Seethaler, H. Artés, F. Hlawatsch","doi":"10.1109/ISSPIT.2003.1341117","DOIUrl":"https://doi.org/10.1109/ISSPIT.2003.1341117","url":null,"abstract":"It is known that suboptimal (equalization-based and nulling-and-cancelling) detectors for MIMO spatial multiplexing systems cannot exploit all of the available diversity. Motivated by the insight that this behavior is mainly caused by poorly conditioned channel realizations, we propose the line-search detector (LSD) that is robust to poorly conditioned channels. The LSD uses a 1-D nearest neighbor search along the least significant singular vector of the channel matrix. It exhibits near-ML performance and has significantly lower complexity than the sphere-decoding algorithm for ML detection.","PeriodicalId":332887,"journal":{"name":"Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123801330","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":"Determination of the camera position in virtual studio","authors":"M. Bernas, M. Teisler","doi":"10.1109/ISSPIT.2003.1341176","DOIUrl":"https://doi.org/10.1109/ISSPIT.2003.1341176","url":null,"abstract":"This paper deals with the problems, concerning the determination of the position of a real camera in a virtual studio. The determination of the real camera position is a necessary condition for its right function, because it allows the correct composition of the animated background. After an introduction into the function and problems of the virtual studio, the systems for the determination of the camera position are described. Then very perspective systems based on pattern recognition are discussed, and some algorithms of the camera position determination are shown. Because the systems are very expensive, the emphasis in further work will lay on evaluation of the necessary precision of camera position determination.","PeriodicalId":332887,"journal":{"name":"Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122042315","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":"Overshoot reduction in multi-tone narrowband ANC systems","authors":"M. Kahaei, A. Nasiri, F. Taringoo, J. Poshtan","doi":"10.1109/ISSPIT.2003.1341240","DOIUrl":"https://doi.org/10.1109/ISSPIT.2003.1341240","url":null,"abstract":"Overshoot reduction of narrowband multi-tone ANC systems is investigated. The second-order perturbation method is proposed to estimate the poles of ANC transfer function. The phase differences of the estimated poles and the zeros corresponding to the input signal are then used in a parallel ANC system to compensate the secondary-path phases. Simulation results clearly show the significant reduction of overshoot phenomenon for multi-tone input signals.","PeriodicalId":332887,"journal":{"name":"Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123622132","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":"Bearing fault detection using level-dependent noise reduction technique","authors":"M. Torbatian, M. Kahaei, J. Poshtan","doi":"10.1109/ISSPIT.2003.1341081","DOIUrl":"https://doi.org/10.1109/ISSPIT.2003.1341081","url":null,"abstract":"In this paper, the level-dependent noise reduction technique based on Morlet wavelet is proposed for bearing inner-race and outer-race fault. This is performed by estimating the periods of the impulsive vibration signals generated by healthy and faulty bearings. The superiority of the applied technique is shown in comparison to the conventional FFT for a set of real data using computer simulations. The results clearly present the effectiveness of the proposed technique in bearing fault detection.","PeriodicalId":332887,"journal":{"name":"Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128677313","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":"Computationally efficient ABS scheme for sinusoidal transform coding of speech","authors":"N. Agarwal","doi":"10.1109/ISSPIT.2003.1341226","DOIUrl":"https://doi.org/10.1109/ISSPIT.2003.1341226","url":null,"abstract":"Analysis-by-synthesis (AbS) has been used in a range of medium and low bitrate speech coders to find the parameters that would best reconstruct a given waveform. AbS has been used despite its high computational complexity because it gives accurate results. In this paper, a low complexity analysis by synthesis scheme for a sinusoidal transform coder (STC) has been proposed. The accuracy of results has not been compromised, while reducing the computational complexity from 2.63 MFLOPS (best case) and 22.13 MFLOPS (worst case) to a constant value of 0.46 MFLOPS.","PeriodicalId":332887,"journal":{"name":"Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129084121","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}