ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing最新文献

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A performance comparison of smoothing approaches for high-resolution active direction-finding of completely-correlated targets 全相关目标高分辨率主动测向的平滑方法性能比较
ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1988-04-11 DOI: 10.1109/ICASSP.1988.197132
J. Zhu, H. Wang
{"title":"A performance comparison of smoothing approaches for high-resolution active direction-finding of completely-correlated targets","authors":"J. Zhu, H. Wang","doi":"10.1109/ICASSP.1988.197132","DOIUrl":"https://doi.org/10.1109/ICASSP.1988.197132","url":null,"abstract":"For high-resolution active direction-finding of completely-correlated targets, one can use two approaches: the frequency-domain smoothing and the nonfrequency-domain smoothing such as spatial smoothing or multidimensional search of signal-subspace. The authors present a performance comparison of the two approaches for the fluctuating target cases under equal transmitted-energy constraints. Both theoretical analysis and simulations are used to study the performances of the detection (determination of number of targets) and angle estimation. It is found that frequency-domain smoothing can significantly outperform nonfrequency-domain smoothing under the equal transmitted-energy constraint.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"534 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120971994","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 images using Markov random fields 利用马尔可夫随机场恢复退化图像
ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1988-04-11 DOI: 10.1109/ICASSP.1988.196762
M. El-Gabali, M. Shridhar, M. Ahmadi
{"title":"Restoration of degraded images using Markov random fields","authors":"M. El-Gabali, M. Shridhar, M. Ahmadi","doi":"10.1109/ICASSP.1988.196762","DOIUrl":"https://doi.org/10.1109/ICASSP.1988.196762","url":null,"abstract":"Algorithms are presented that are capable of restoring images degraded by a variety of corrupting noise sources. These include any combination of additive and/or multiplicative Gaussian noise, focus blur and nonlinear distortion. A parallel implementation of the algorithm is shown to be feasible.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121099214","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
Approximation and implementation of multidimensional digital filters 多维数字滤波器的逼近与实现
ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1988-04-11 DOI: 10.1109/ICASSP.1988.196719
A. Zilouchian, R. Sudhakar, N. Erdol
{"title":"Approximation and implementation of multidimensional digital filters","authors":"A. Zilouchian, R. Sudhakar, N. Erdol","doi":"10.1109/ICASSP.1988.196719","DOIUrl":"https://doi.org/10.1109/ICASSP.1988.196719","url":null,"abstract":"The approximation and optimal implementation of a single-input single-output multidimensional digital filter with fixed-point arithmetic is investigated. Based on balanced and optimal realizations, a novel structure which minimizes the error due to the order approximation and output round-off noise is obtained. It is shown that for the class of M-D completely separable-in-denominator filters, optimum order structure exhibits some favorable properties such as robustness of the filter's constant coefficients. A numerical example is presented to illustrate the proposed technique.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127464094","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
State space approach to constrained recursive deconvolution of a noisy image sequence 噪声图像序列约束递归反卷积的状态空间方法
ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1988-04-11 DOI: 10.1109/ICASSP.1988.196769
M. S. Mort, M. Srinath
{"title":"State space approach to constrained recursive deconvolution of a noisy image sequence","authors":"M. S. Mort, M. Srinath","doi":"10.1109/ICASSP.1988.196769","DOIUrl":"https://doi.org/10.1109/ICASSP.1988.196769","url":null,"abstract":"It is well known that constrained recursion techniques can be used to restore images degraded by convolutional filters. The recursion which is commonly used was designed to work on a single noise-free image frame and convergence conditions were derived via the contraction mapping theorem. However these conditions do not guarantee convergence when the degrading filter has zeros in its transfer function. The authors consider the case where the imaging system gathers a sequence of noisy images of a static scene. The problem formulation uses a state space approach to provide easily verifiable conditions on the degrading filter which guarantee that the scene can be recovered from the image sequence in the presence of noise. It is shown that even transfer functions which have zeros are allowed. A recursive filter is developed to construct the estimate of the scene from the image sequence and experimental results are given.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127523991","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
Binary image reconstruction from four projections 四投影二值图像重建
ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1988-04-11 DOI: 10.1109/ICASSP.1988.196836
M. Soumekh
{"title":"Binary image reconstruction from four projections","authors":"M. Soumekh","doi":"10.1109/ICASSP.1988.196836","DOIUrl":"https://doi.org/10.1109/ICASSP.1988.196836","url":null,"abstract":"Addresses the problem of reconstructing an image from two pairs of its orthogonal projections. The range and support information of the image function is utilised in conjunction with the available projections to develop an iterative reconstruction method; the iterative algorithm is an error energy reduction scheme. Reconstruction results for two classes of image functions are presented.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124842470","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: 13
Bispectrum estimation of transient signals 瞬态信号的双谱估计
ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1988-04-11 DOI: 10.1109/ICASSP.1988.197126
C. Papadopoulos, C. Nikias
{"title":"Bispectrum estimation of transient signals","authors":"C. Papadopoulos, C. Nikias","doi":"10.1109/ICASSP.1988.197126","DOIUrl":"https://doi.org/10.1109/ICASSP.1988.197126","url":null,"abstract":"A method is introduced for transient signal reconstruction based on bispectrum estimation techniques. The third-order cumulants of the noisy observation data are estimated first and an autoregressive model is then fitted in the sense of perfect matching between the third-order cumulant sequence of the model's impulse response and the estimated cumulants of the observation. It is demonstrated that the method is capable of reconstructing transient signals for environments in which the noise is color Gaussian with unknown autocorrelation function.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125035717","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: 15
Very large vocabulary isolated utterance recognition: a comparison between one pass and two pass strategies 大词汇孤立话语识别:一过和两过策略的比较
ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1988-04-11 DOI: 10.1109/ICASSP.1988.196549
L. Fissore, P. Laface, G. Micca, R. Pieraccini
{"title":"Very large vocabulary isolated utterance recognition: a comparison between one pass and two pass strategies","authors":"L. Fissore, P. Laface, G. Micca, R. Pieraccini","doi":"10.1109/ICASSP.1988.196549","DOIUrl":"https://doi.org/10.1109/ICASSP.1988.196549","url":null,"abstract":"A system for recognizing isolated utterances belonging to a very large vocabulary is presented that follows a two-pass strategy. The first step, hypothesization, consists in the selection of a subset of word candidates, starting from the segmentation of speech into six broad phonetic classes. This module is implemented through a dynamic programming algorithm working in a three-dimensional space. The search is performed on a tree representing a coarse description of the lexicon. The second step is the search for the best N candidates according to a maximum-likelihood criterion. Each word candidate is represented by a graph of subword hidden Markov models, and a tree structure of the whole word subset is built on line for an efficient implementation of the Viterbi algorithm. A comparison with a direct approach that does not use the hypothesization module shows that the two-pass approach has the same performance with an 80% reduction in computational complexity.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125126090","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: 13
RNS Fourier transforms RNS傅里叶变换
ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1988-04-11 DOI: 10.1109/ICASSP.1988.196867
P. Burrascano, G. Cardarilli, R. Lojacono, G. Martinelli, M. Salerno
{"title":"RNS Fourier transforms","authors":"P. Burrascano, G. Cardarilli, R. Lojacono, G. Martinelli, M. Salerno","doi":"10.1109/ICASSP.1988.196867","DOIUrl":"https://doi.org/10.1109/ICASSP.1988.196867","url":null,"abstract":"A novel approach to the definition of the roots of unity in the RNS (residue number system) is presented. The definition is based on a suitable polar representation of the complex residues. The resulting RNS Fourier transform provides an algorithm for performing circular convolutions characterized by flexibility in terms of length, computational cost, and storage.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125788918","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
Multi-dimensional power spectrum estimation using noncausal rational models 基于非因果模型的多维功率谱估计
ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1988-04-11 DOI: 10.1109/ICASSP.1988.196689
K. Arun, J. Krogmeier
{"title":"Multi-dimensional power spectrum estimation using noncausal rational models","authors":"K. Arun, J. Krogmeier","doi":"10.1109/ICASSP.1988.196689","DOIUrl":"https://doi.org/10.1109/ICASSP.1988.196689","url":null,"abstract":"Methods are presented for the identification of noncausal, rational, multidimensional systems from covariance data in connection with the development of noncausal models in multidimensional power spectrum estimation. It is shown how a recently proposed notion of state for noncausal systems and the resulting rank properties can be used for model estimation. The general class of noncausal systems studied encompasses the quarter-plane causal, all-pole, separable, and factorizable models previously considered for 2-D spectrum estimation.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125813989","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
Multipath propagation and the optimal SNR for adaptive arrays 自适应阵列的多径传播与最优信噪比
ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1988-04-11 DOI: 10.1109/ICASSP.1988.197223
M. Viberg
{"title":"Multipath propagation and the optimal SNR for adaptive arrays","authors":"M. Viberg","doi":"10.1109/ICASSP.1988.197223","DOIUrl":"https://doi.org/10.1109/ICASSP.1988.197223","url":null,"abstract":"The author investigates the optimal output SNR (signal-to-noise ratio) for adaptive arrays. His main interest is what happens in the case of coherent multipath propagation. He casts the multipath into a statistical framework and derives an approximation of the average optimal SNR. He concludes that the average optimal SNR increases linearly with the number of reflections of the desired signal. The reason for this is that it is possible for the receiver to take advantage of the extra desired signal energy that comes from the reflections.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125283157","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
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