Jiying Zhao, Y. Shimazu, K. Ohta, R. Hayasaka, Y. Matsushita
{"title":"An Outstandingness Oriented Image Segmentation and its Application","authors":"Jiying Zhao, Y. Shimazu, K. Ohta, R. Hayasaka, Y. Matsushita","doi":"10.1109/ISSPA.1996.615671","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615671","url":null,"abstract":"This paper presents a novel automatic method to determine region importance, and its application to still image compression. We use fuzzy technique to determine important regions in the same manner as human beings do, allocate higher bitrate to important regions while lower to the rest parts of image. Therefore, it allows both higher quality of important parts and lower bitrate as a whole, and it reflects the sense of human beings. The paper mainly introduces the important region determination, briefly on importance adaptive image codec, and finally gives experimental results.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127742422","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":"Use Of Sa Based Adaptive Filter For Interference Cancellation For Plc Networks","authors":"I. Gondal, A. Kalam","doi":"10.1109/ISSPA.1996.615087","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615087","url":null,"abstract":"Power line carrier (PLC) is a very convenient, economical and efficient means of communication for applications eg. voice communication, telemetering, fault location and system protection etc. Existing, PLC systems, limit the use of this means of communication due to the inefficiency of line traps in providing required attenuation to PLC signals at busbars. Therefore, PLC leakage si@ interferes with PLC signals h m adjacent line sections operating at the same frequencies. Due to the limitation of fiequency reuses, the availability of channels is reduced. Stochastic Approximation (SA) based identification technique has been used to identify the dynamic response of the line trap for an adaptive tilter, based on signal’s models (PLC and leakage signals). Predicted level of intdkrence has been crosspolarised to the b u s b to get interference cancellation. In the paper, simulation results and graphical representation of adaptive digital filter will show the effectiveness of the technique on a PLC model.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127525246","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":"A Comparison of Three Discriminant Models for Automatic Speaker Verification","authors":"S. Slomka, P. Castellano, S. Sridharan","doi":"10.1109/ISSPA.1996.615747","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615747","url":null,"abstract":"Automatic Speaker Rewgnition (ASR) is composed of Automatic Speaker Identification (ASI) and Verification (ASV). In either case, it is a 4 step process consisting of speech data collection, preprocessing of the speech signal (enrolment), pattern matching and result adjudication. In the second ASR step, parametrised speech, representative of each speaker taken into account, in a given problem, is produced. The pattern matching step is performed through the use of a discrimination model which may consist of a single classifier or an architecture incorporating several classifiers. In closed set ASK the reference speaker whose speech most closely matches the unknown speech is retained. In ASV, a speaker is accepted only if matching exceeds a preset threshold. The present study compares the speaker discrimination performance of three speaker discrimination models which are the","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128789837","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":"Numerical Investigation of Stochastic Resonance in Different Potential Systems","authors":"G. Geers, P. Rogers","doi":"10.1109/ISSPA.1996.615186","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615186","url":null,"abstract":"Stochastic resonance is a fascinating phenomenon where the signal-to-noise ratio (SNR) of a noisy non-linear system is enhanced by the non-zero noise level. In this paper we numerically compare the performance of a correlation detection system with a system composed of a stochastic resonator (for SNR enhancement) followed by a correlation detector. The stocastic resonator is of either polynomial or double Gaussian type. The study is motivated by an interest in detecting the extremely weak radio signals frequently met in the 'radio imaging method' used for geophysical surveying.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122218537","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":"A Comparisoat of Two Quanttization Techniques for Speech Spectral Parameters","authors":"J. W. Leas","doi":"10.1109/ISSPA.1996.616965","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.616965","url":null,"abstract":"LSF-VQ Encoding Spedml Dim - PNN Algori\" The major contributor to the overall bit rate in low rate speech coders is the encoding of the short-term spectral parameters. Current schemes typically use 32-40 bits per coding frame to represent this information using scalar quantization techniques. Several researchers have recently begun investigating the use of vector quantization (VQ) for these parameters, and found that direct VQ requires a prohibitively large vector codebook. We report here on some experiments undertaken on a large number of speech frames involving the use of vector quantization for the line spectral frequencies. Specifically, we set out to determine the influence of the clustering algorithm used in the training process and the number of training vectors required to give good generalization and hence a robust codebook.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130436913","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":"A Novel Evolutionary Programming in Clustering of Multi-Dimensional Vector Space","authors":"P. Tsang, W. T. Lee","doi":"10.1109/ISSPA.1996.615700","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615700","url":null,"abstract":"Recently, Evolutionary Computation (EC) schemes have been implemented into the clustering of the vector space. However, the existing schemes face to some problems on finding the optimal solution. There are two major difficulties in the traditional system. It spends too much time for the system to find a nearly optimal solution. Also, the aspect toward the global solution at the end of the process would be unclear. In this paper, a novel EC scheme called ''Sub-Individual Evolutionary Programming'' (SIEP) is suggested to suppressed the problems that is found in the conventional system. From the experimental result, the number of generation for approaching optimal solution of the new scheme is notably smaller than the existing schemes.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133360886","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":"A New Predistorter Design Technique For Nonlinear Digital Communication Channels","authors":"In-Seung Park, E. Powers","doi":"10.1109/ISSPA.1996.615118","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615118","url":null,"abstract":"This paper presents a nen- predistorter design technique for a nonlinear communication channel with QAhI modulation. The predistortion is accomplished by considering the compensation of the channel nonlinearities as a fixed point problem, and determining the &Ked point iteratively using contraction mapping theory. The main advantage of the proposed predistorter is its computational simplicity in the sense that all the processing units are equivalent.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133141332","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":"Intelligibility Measurement of Processed Reverberant Speech","authors":"D. Cole, M. Moody, S. Sridharan","doi":"10.1109/ISSPA.1996.615682","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615682","url":null,"abstract":"Speech intelligibility is reduced by reverberation, and this is a topic of interest in several disciplines. The literature generally falls into three categories linguistic analysis of the effect of reverberation on speech perception, acoustical aspects of auditorium design for better speech delivery, and signal processing techniques for reducing reverberation of recorded speech. Just as each of these research areas has quite different aims, each generally uses a different method of quantifying the effects of reverberation. Linguistic analysis for speech pathology uses subject response based intelligibility tests with diagnostic analysis of the results. The preference for acoustics design is for an objective measure which predicts intelligibility well, preferably one which can be applied theoretically before construction. Signal processing researchers, when dealing with dereverberation, have rarely quantified the effect of processing on reverberant speech, probably due to the difficulty both of improving the characteristics of reverberant speech, and of the administration of intelligibility tests. This study evaluates alternative methods of intelligibility measurement for application to processed reverberant speech. For this purpose, an objective measure (similar to the predictors often used in acoustics) would be ideal because of their ease of implementation; however the results of this study show that these are of limited use. 2. PROCEDURE","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123075652","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":"Quantizer Design And Optimization In Decision Feedback Equalization","authors":"R. Kennedy, Z. Ding","doi":"10.1109/ISSPA.1996.615117","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615117","url":null,"abstract":"We derive an optimal nonlinear quantizer to be used as a decision function in a decision feedback structure. The criterion used to determine the quantizer characteristic is the degree to which the propagation of decision errors is suppressed. We show that a soft saturation nonlinearity can outperform the standard nearest neighbor quantizer in a decision feedback equalizer structure in terms of error prop agation suppression. This implies that on channels where noise is impulsive a soft saturation quantizer decision feedback structure is superior to a conventional decision feedback structure on a broad class of channels. The theoretical results are supported by simulations.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124531598","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":"A Forward Backward Algorithm for ML State and Sequence Estimation","authors":"G. D. Brushe, R. Mahony, J. Moore","doi":"10.1109/ISSPA.1996.615718","DOIUrl":"https://doi.org/10.1109/ISSPA.1996.615718","url":null,"abstract":"The classical Viterbi algorithm is used to estimate the maximum likelihood state sequence from a block of observed data. It achieves this by maximising a forward path probability measure. In an analogous manner a backward path probability measure can be generated which leads to the development of a Viterbi forwardbackward algorithm. This algorithm computes an “a posteriori maximum path probability” for each state at a given time. The resulting probability distribution across all possible state at time t can be used as a soft output for further processing. Maximising a posteriori maximum path probability at each time gives the same state sequence as obtained from the classical Viterbi algorithm.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127681143","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}