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1996 IEEE Digital Signal Processing Workshop Proceedings最新文献

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Maximally fast, bit-serial lattice wave digital filters 最快速，位串行点阵波数字滤波器
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555497
M. Vesterbacka, K. Palmkvist, L. Wanhammar
{"title":"Maximally fast, bit-serial lattice wave digital filters","authors":"M. Vesterbacka, K. Palmkvist, L. Wanhammar","doi":"10.1109/DSPWS.1996.555497","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555497","url":null,"abstract":"An approach to schedule lattice wave digital filters so that the maximal sample frequency is obtained is presented. In the approach, bit-serial arithmetic and a scheduling method that decouples the sample period from the scheduling period are used. A lower bound on the scheduling period required to arrive at the minimum sample period is given. Different latency models for the arithmetic operations, and their effect on the minimum sample period are discussed. The operation schedule is mapped to a hardware structure using isomorphic mapping. The throughput of the resulting implementations is comparable to corresponding bit-parallel implementations.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121035790","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: 11
Periodic shift-invariant multiresolution analysis 周期移不变多分辨率分析
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555545
A. Bastys
{"title":"Periodic shift-invariant multiresolution analysis","authors":"A. Bastys","doi":"10.1109/DSPWS.1996.555545","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555545","url":null,"abstract":"The Shannon multiresolution analysis and two methods of its periodization are considered. The class of all shift-invariant multiperiodic analyses with complex-valued scaling functions is described. All weakly shift-invariant periodic analogues of the Shannon scaling function are found. Among them, two shift-invariant periodic analogues of the sine function are revealed. A wavelet packet transform that generalizes the discrete Fourier transformation is found. An application of the shift-invariant periodic wavelet packet bases for time-frequency analysis of speech signals is discussed and illustrated.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123719971","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: 1
SVD and higher-order statistics applied in the detection of human nerve signal activity SVD和高阶统计量在人体神经信号活动检测中的应用
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555525
B. Upshaw
{"title":"SVD and higher-order statistics applied in the detection of human nerve signal activity","authors":"B. Upshaw","doi":"10.1109/DSPWS.1996.555525","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555525","url":null,"abstract":"Due to the very low signal levels (/spl mu/V) and the significantly higher levels of interference from adjacent muscles (and other noise sources), the overall signal-to-noise ratios (SNRs) of human nerve signals recorded from whole-cuff electrodes is very poor. Typically, non-real-time methods (ensemble averaging) are used to contend with these poor SNRs. However, if these signals are to be useful in providing real-time information (in a closed-loop control system), other methods must be employed to this end, subspace analysis methods using the eigenvalues of the autocorrelation (a 2/sup nd/ order statistic) and cumulant (a 3/sup rd/ order statistic) matrices of time-series samples were evaluated.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126781453","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: 1
Optimal supports for image matching 最佳支持图像匹配
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555508
Michael S. Lew, T. S. Huang
{"title":"Optimal supports for image matching","authors":"Michael S. Lew, T. S. Huang","doi":"10.1109/DSPWS.1996.555508","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555508","url":null,"abstract":"The information theoretic approach provides a foundation for determining new insights and solutions toward image modeling and analysis problems. The underlying principle is that a search through an image can be viewed as a reduction of the expected uncertainty in the classification of the image. Specifically, we propose using the Kullback (1959) relative information for the determination of the support which maximizes the feature class separation, which consequently should minimize the probability of misclassifications. The methods are applied to face detection and two view image matching using internationally available databases.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114561533","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: 9
Short delay detection of a transient in additive Gaussian noise via higher order statistic test 加性高斯噪声下瞬态信号的高阶统计量检测
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555520
C. Chichereau, J. Lacoume, R. Blanpain, G. Dassot
{"title":"Short delay detection of a transient in additive Gaussian noise via higher order statistic test","authors":"C. Chichereau, J. Lacoume, R. Blanpain, G. Dassot","doi":"10.1109/DSPWS.1996.555520","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555520","url":null,"abstract":"In the context of electromagnetic surveillance, our aim is to detect a transient in a non-stationary Gaussian noise by a higher order statistic test. We prove that the higher order statistic detection test provides a very short delay detection and a good estimation of the transient arrival time. We develop the theoretical ground and use a new formalism (an extension of Gardner's (1988) work) that enables us to evaluate theoretically the response of higher order statistic test for detection. The theory is applied on a simple and typical example: the kurtosis. We then compare the theoretical results to simulation results.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130310371","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: 7
Adaptive filtering for broad band signal reconstruction using spectrum extrapolation 基于频谱外推的宽带信号重构自适应滤波
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555487
H. Yasukawa
{"title":"Adaptive filtering for broad band signal reconstruction using spectrum extrapolation","authors":"H. Yasukawa","doi":"10.1109/DSPWS.1996.555487","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555487","url":null,"abstract":"This paper describes the implementation of a speech quality enhancement system that achieves spectrum extrapolation of band limited signals. In telephone communication, spectrum based on aliasing processing is widely known. This paper proposes a new implementation using an adaptive method. This method introduces frequency domain adaptive digital filtering to broaden band limited signals into wide band signals. Implementation of the system and its performance are discussed.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123911963","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
Cumulant based phase estimation for 1-D and 2-D nonminimum phase systems by Fourier series based allpass model 基于傅立叶级数全通模型的一维和二维非最小相位系统的相位估计
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555521
Horng-Ming Chien, Chong-Yung Chi
{"title":"Cumulant based phase estimation for 1-D and 2-D nonminimum phase systems by Fourier series based allpass model","authors":"Horng-Ming Chien, Chong-Yung Chi","doi":"10.1109/DSPWS.1996.555521","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555521","url":null,"abstract":"Yang and Chi (se Proc. IEEE Seventh SP Workshop on Statistical Signal and Array Processing, Quebec City, Canada, p.231-34, 1994) proposed a family of 1-D criteria for estimating the phase of a 1-D nonminimum phase linear time-invariant (LTI) system with only non-Gaussian measurements corrupted by additive Gaussian noise. The phase of the LTI system is obtained through an iterative algorithm which processes the given measurements by an ARMA allpass model such that a single absolute Mth-order (M/spl ges/3) cumulant of the allpass model output is maximum. A family of 1-D and 2-D criteria, in which Yang and Chi's 1-D criteria are included, is proposed for phase estimation using a Fourier series based allpass model. The optimum allpass models for 1-D and 2-D LTI systems are obtained by a 1-D and a 2-D iterative algorithms, respectively. The paper concludes with some simulation results followed by some conclusions.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114210604","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
Blind least-squares approaches for joint data/channel estimation 联合数据/信道估计的盲最小二乘方法
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555559
D. Gesbert, P. Duhamel, S. Mayrargue
{"title":"Blind least-squares approaches for joint data/channel estimation","authors":"D. Gesbert, P. Duhamel, S. Mayrargue","doi":"10.1109/DSPWS.1996.555559","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555559","url":null,"abstract":"This article addresses the problem of recovering blindly a source which has been sent through a multipath environment in a wireless multichannel context. A possible approach, primarily based on a joint data/channel estimation strategy, is outlined. The single-input/multiple-output (SIMO) deconvolution problem is first considered in a purely deterministic context, based on the minimization of a bilinear least-squares cost function, where the parameters to be adjusted are the channel coefficients and the transmitted signal vector, regardless of the finite alphabet property. A similar-output matching philosophy is used to construct a blind adaptive multichannel equalization scheme, with decision-feedback. The simulations show the robustness of the algorithm with respect to problems like channel order estimation errors and lack of channel diversity.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114821190","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: 12
A real-time wireless LAN access unit based on a DSP architecture 基于DSP架构的实时无线局域网接入单元
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555492
L. Franchina
{"title":"A real-time wireless LAN access unit based on a DSP architecture","authors":"L. Franchina","doi":"10.1109/DSPWS.1996.555492","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555492","url":null,"abstract":"This paper presents the design of the access unit (AU) of the transceiver of a wireless RTLAN based on a controlled access protocol called TPCF (two phases collision free) and on spread spectrum transmission techniques. The AU implements the protocol instructions and a DSSS (direct sequence spread spectrum) co-decodifier. The baseband part is realized by a DSP (AD21010), a clock recovery circuit and an interface circuit that manages the transmission between DSP and host.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126531324","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
Restoration of degraded character dot image using discrete Hopfield neural network 基于离散Hopfield神经网络的退化特征点图像恢复
1996 IEEE Digital Signal Processing Workshop Proceedings Pub Date : 1996-09-01 DOI: 10.1109/DSPWS.1996.555517
K. Yuasa, H. Sawai, M. Yoneyama
{"title":"Restoration of degraded character dot image using discrete Hopfield neural network","authors":"K. Yuasa, H. Sawai, M. Yoneyama","doi":"10.1109/DSPWS.1996.555517","DOIUrl":"https://doi.org/10.1109/DSPWS.1996.555517","url":null,"abstract":"In order to estimate the image restoration capability of discrete type Hopfield neural network having an associative memory effect, some simulation experiments were performed. The memorized patterns to the network are binary dot alphabet capital characters consisting of 10/spl times/10 pixels. On the other hand, artificially degraded binary dot patterns of those original characters are used as the input patterns for the neural network to recall the original characters. As a result, the rate of success to recall the correct pattern is strongly related to both degradation degree of input patterns and number of patterns previously memorized in the network.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128142707","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
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