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ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359)最新文献

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Subband coding of cyclostationary signals with static bit allocation 循环平稳信号的静态位分配子带编码
ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-11-01 DOI: 10.1109/ISSPA.1999.815748
A. Pandharipande, S. Dasgupta
{"title":"Subband coding of cyclostationary signals with static bit allocation","authors":"A. Pandharipande, S. Dasgupta","doi":"10.1109/ISSPA.1999.815748","DOIUrl":"https://doi.org/10.1109/ISSPA.1999.815748","url":null,"abstract":"We consider the optimal orthonormal subband coding of zero mean wide sense cyclostationary signals (WSCS), with N-periodic second order statistics. An M-channel uniform filter bank, with N-periodic analysis and synthesis filters, is used as the subband coder. A static bit allocation scheme is used. An average variance condition is used to measure the output distortion. The conditions for maximizing the coding gain parallel those for the case when the signals are wide sense stationary (WSS) and the analysis and synthesis filters and the bit allocation time invariant, in that the subband signals must be mutually decorrelated, and the sum of the power spectral densities of the blocked suband signal in different channels must obey an ordering. This contrasts to the recently studied 2-channel WSCS case, involving a dynamic, periodically varying bit allocation scheme where even the blocked subband signals of the same channel must be mutually decorrelated.","PeriodicalId":302569,"journal":{"name":"ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126306202","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}
引用次数: 6
Error propagation and recovery in decision feedback equalisers for second order nonlinear channels 二阶非线性信道决策反馈均衡器中的误差传播与恢复
ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI: 10.1109/ISSPA.1999.815784
J. Tsimbinos, L. White
{"title":"Error propagation and recovery in decision feedback equalisers for second order nonlinear channels","authors":"J. Tsimbinos, L. White","doi":"10.1109/ISSPA.1999.815784","DOIUrl":"https://doi.org/10.1109/ISSPA.1999.815784","url":null,"abstract":"Nonlinear intersymbol interference is often present in communication and digital storage channels. Decision feedback equalisers can decrease this nonlinear effect by including appropriate nonlinear feedback filters. Although various applications of these types of equalisers have been published in the literature, the analysis of their stability and error recovery has not appeared. In this paper we consider a decision feedback equaliser with a feedback filter based on a discrete Volterra series. We give error propagation, error probability, stability, and error recovery time results for a decision feedback equaliser for 2nd order nonlinear channels, by extending previously published results for the linear channel case. These results can easily be extended for the general Nth order nonlinear channel case.","PeriodicalId":302569,"journal":{"name":"ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114984145","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}
引用次数: 0
Speech compaction using vector quantisation and hidden Markov models 使用向量量化和隐马尔可夫模型的语音压缩
ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI: 10.1109/ISSPA.1999.818216
D. Cole, S. Sridharan
{"title":"Speech compaction using vector quantisation and hidden Markov models","authors":"D. Cole, S. Sridharan","doi":"10.1109/ISSPA.1999.818216","DOIUrl":"https://doi.org/10.1109/ISSPA.1999.818216","url":null,"abstract":"We present techniques for the time compaction of speech using vector quantisation and hidden Markov modelling. These aim to retain the most perceptually important information present in the speech signal, while discarding redundant information. The methods are compared with the conventional technique using synchronised overlap-add (SOLA) compaction, and with a recently proposed hierarchical temporal decomposition (HTD) based method. Using mean opinion score testing, they are found to give a better quality output than the SOLA method, and similar quality to the HTD.","PeriodicalId":302569,"journal":{"name":"ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115410489","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}
引用次数: 0
A neural network based adaptive non-linear lossless predictive coding technique 基于神经网络的自适应非线性无损预测编码技术
ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI: 10.1109/ISSPA.1999.815757
S. Marusic, G. Deng
{"title":"A neural network based adaptive non-linear lossless predictive coding technique","authors":"S. Marusic, G. Deng","doi":"10.1109/ISSPA.1999.815757","DOIUrl":"https://doi.org/10.1109/ISSPA.1999.815757","url":null,"abstract":"This paper presents an adaptive non-linear method for the predictive coding of images using multilayer perceptrons. By incorporating causal and localised training on the actual data being coded, rather than training separate data, the network weights are continuously updated. This results in a highly adaptive predictor, with localised optimisation based on the stochastic gradient learning. The causal nature of the training means no transmission overhead is required and also enables lossless coding of the images. In addition to the adaptive prediction, the results presented here also incorporate an arithmetic coding scheme, producing results which are better than CALIC and comparable to TMW, the state of the art lossless compression in the literature. This shows that near-optimal results can be obtained with the fundamental concept of adaptive training. The use of a neural network provides a simple means for performing this training.","PeriodicalId":302569,"journal":{"name":"ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116783113","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}
引用次数: 14
High interference rejection rate achieved through an iterative signal separation 通过迭代信号分离实现高干扰抑制率
ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI: 10.1109/ISSPA.1999.818154
A. Belouchrani, K. Abed-Meraim
{"title":"High interference rejection rate achieved through an iterative signal separation","authors":"A. Belouchrani, K. Abed-Meraim","doi":"10.1109/ISSPA.1999.818154","DOIUrl":"https://doi.org/10.1109/ISSPA.1999.818154","url":null,"abstract":"We show how high interference rejection rate can be achieved using an iterative blind signal separation technique. The proposed approach relies on weighted nonlinear functions. The weights are chosen according to a priori information on the desired signal. Closed form expression of the interference rejection rate is given via an asymptotic performance analysis. This analysis shows how the interference rejection can be improved by choosing appropriate weights of the non-linear functions. This contribution is completed by some simulations.","PeriodicalId":302569,"journal":{"name":"ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117180517","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}
引用次数: 0
Lyapunov stability-based adaptive backpropagation for discrete time system 基于Lyapunov稳定性的离散时间系统自适应反向传播
ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI: 10.1109/ISSPA.1999.815759
Z. Man, Serig Kah Phooi, H. Wu
{"title":"Lyapunov stability-based adaptive backpropagation for discrete time system","authors":"Z. Man, Serig Kah Phooi, H. Wu","doi":"10.1109/ISSPA.1999.815759","DOIUrl":"https://doi.org/10.1109/ISSPA.1999.815759","url":null,"abstract":"Lyapunov stability-based adaptive backpropagation (LABP) for discrete systems is proposed in this paper. It can be applied to various aspects of adaptive signal processing. A Lyapunov function of the error between the desired and actual outputs of the neural network is first defined. Then the error is backward-propagated based on Lyapunov stability theory so that it can be used to adaptively adjust the weights of the inner layers of the neural networks. Subsequently, this will lead to an error between the desired and actual outputs converging to zero asymptotically. The proposed scheme possesses distinct advantages over the conventional BP by assuring that the system will not get stuck in local minima. Furthermore, this scheme has a faster convergence property and the stability is guaranteed by Lyapunov stability theory. A simulation example is performed to support the proposed scheme.","PeriodicalId":302569,"journal":{"name":"ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121234782","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}
引用次数: 5
On the use of filter-bank energies as features for robust speech recognition 利用滤波器组能量作为特征进行鲁棒语音识别
ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI: 10.1109/ISSPA.1999.815754
K. Paliwal
{"title":"On the use of filter-bank energies as features for robust speech recognition","authors":"K. Paliwal","doi":"10.1109/ISSPA.1999.815754","DOIUrl":"https://doi.org/10.1109/ISSPA.1999.815754","url":null,"abstract":"Though mel frequency cepstral coefficients (MFCCs) have been very successful in speech recognition, they have the following two problems: (1) they do not have any physical interpretation, and (2) liftering of cepstral coefficients, found to be highly useful in the earlier dynamic warping-based speech recognition systems, has no effect in the recognition process when used with continuous observation Gaussian density hidden Markov models. We propose to use the filter-bank energies (FBEs) as features. The FBEs are physically meaningful quantities and amenable for applying human auditory processing such as masking. We describe procedures to decorrelate and lifter the FBEs and show that the FBEs perform at least as good as (and sometimes even better than) the MFCCs for robust speech recognition.","PeriodicalId":302569,"journal":{"name":"ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121261352","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}
引用次数: 20
Sequential Bayesian wavelet denoising 序列贝叶斯小波去噪
ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI: 10.1109/ISSPA.1999.815743
M. Coates, A. Doucet
{"title":"Sequential Bayesian wavelet denoising","authors":"M. Coates, A. Doucet","doi":"10.1109/ISSPA.1999.815743","DOIUrl":"https://doi.org/10.1109/ISSPA.1999.815743","url":null,"abstract":"We propose a wavelet model that incorporates coefficient correlation and is expressed in state-space form, allowing the development and application of sequential estimation algorithms for wavelet denoising. We detail a sequential simulation-based estimation algorithm based on particle filters. This algorithm allows Bayesian wavelet denoising to be performed on-line, enabling it to process a vast dataset, and it is intrinsically parallelizable. The experiments indicate that the algorithm performance is comparable to the majority of Bayesian framework batch-based algorithms.","PeriodicalId":302569,"journal":{"name":"ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127216135","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}
引用次数: 3
An emotional viseme compiler for facial animation 面部动画的情感viseme编译器
ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI: 10.1109/ISSPA.1999.818211
S. Karunaratne, H. Yan
{"title":"An emotional viseme compiler for facial animation","authors":"S. Karunaratne, H. Yan","doi":"10.1109/ISSPA.1999.818211","DOIUrl":"https://doi.org/10.1109/ISSPA.1999.818211","url":null,"abstract":"The animation of a three dimensional synthetic human face has been the object of much research in the past few years. Many systems now exist for this purpose, which rely on the artistic and animation skills of animators. Methods for the generation of lip movements to accompany a speech soundtrack have also been developed. These systems rely on the extraction of phonemes from the speech signal and converting them to \"visemes\" or visual lip shapes for a synthetic human face. The generation of human emotional expressions has also been developed in the recent past. This paper combines some of these developments to present a system, which is capable of appropriately combining emotional cues automatically with phonemes to generate emotional visual speech on a synthetic human face.","PeriodicalId":302569,"journal":{"name":"ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124952013","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}
引用次数: 2
Adaptive EEG transient event discrimination using dynamic LMS filter weight leakage 基于动态LMS滤波权漏的自适应脑电瞬态事件判别
ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI: 10.1109/ISSPA.1999.818186
D. A. Campbell
{"title":"Adaptive EEG transient event discrimination using dynamic LMS filter weight leakage","authors":"D. A. Campbell","doi":"10.1109/ISSPA.1999.818186","DOIUrl":"https://doi.org/10.1109/ISSPA.1999.818186","url":null,"abstract":"The EEG is a highly complex and dynamic signal comprising a large ensemble of time-varying, statistical properties. Such diverse signal properties pose significant challenges in processing the EEG. A dynamic weight leakage based LMS adaptive linear predictor has been developed to discriminate for transient events within the EEG, and in particular, epileptiform discharges. The resulting procedure improves the SNR of these events by at least two-fold, leading to greater selectivity in subsequent epileptiform event detection stages.","PeriodicalId":302569,"journal":{"name":"ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125374878","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}
引用次数: 2
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