{"title":"Optical sigma-delta modulation using fiber lattice filter structures","authors":"R. Pieper, P. Pace, S. Ying, J. Powers","doi":"10.1109/ACSSC.1995.540522","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540522","url":null,"abstract":"Modern avionics equipment, such as super resolution direction-finding systems, now require resolutions on the order of 20 to 22 bits. Oversampled analog-to-digital converter architectures offer a means of exchanging resolution in time for that in amplitude and represent an attractive approach to implementing precision converters without the need for complex precision analog circuits. Using oversampling techniques based on sigma-delta (/spl Sigma//spl Delta/) modulation, a convenient tradeoff exists between sampling rate and resolution. One of the major advantages of integrated optics is the capability to efficiently couple wideband signals into the optical domain. Typically, /spl Sigma//spl Delta/ processors require simple and relatively low-precision analog components and thus are well suited to integrated optical implementations. This paper presents the design of a first-order, integrated optical /spl Sigma//spl Delta/ modulator.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132023872","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":"Review of in-building propagation phenomena at UHF frequencies","authors":"H. Bertoni, Seong-Cheol Kim, W. Honcharenko","doi":"10.1109/ACSSC.1995.540803","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540803","url":null,"abstract":"When both the base station and subscriber antennas are located in the cluttered multipath environment inside buildings, fast fading is observed as either antenna is moved over a distance on the order of a wavelength. The fast fading is evident in measurements made on CW signals, on individual arrivals for pulsed excitation, even for pulses as short as 5 ns. The statistical properties of the fading are discussed, along with the usual measures of the pulse response, such as path loss, mean excess delay, rms delay spread and coherence bandwidth.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127892401","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":"On the elimination of extraneous roots","authors":"E. Dowling, D. Linebarger, R. DeGroat, Hong Guan","doi":"10.1109/ACSSC.1995.540625","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540625","url":null,"abstract":"In this paper we develop a technique to eliminate extraneous roots from reduced rank, linear predictive frequency and direction of arrival (DOA) estimation algorithms. These singular value decomposition (SVD) based algorithms produce a noise cleaned linear prediction vector and then root this vector to obtain a subset of roots, whose angles contain the desired frequency or DOA information. The roots closest to the unit circle are deemed to be the \"signal roots\". All the rest of the roots are \"extraneous\". The extraneous roots are expensive to calculate and complicate the extraction of the signal roots.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131357513","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":"New efficient target tracking based upon hidden Markov model and probabilistic data association","authors":"S. Sitbon, J. Passerieux","doi":"10.1109/ACSSC.1995.540820","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540820","url":null,"abstract":"This paper deals with automatic detection and tracking using hidden Markov model and probabilistic data association in order to operate in a densely cluttered environment. After a theoretical description of the algorithm, Monte-Carlo performance comparisons with known methods like NNAF and PDAF are provided, in the case of sonar processing. Improvements are clearly shown in terms of detection and track splitting, for an increase of computation requirement less than 5. At sea signals analysis confirms this result.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129304009","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 two-dimensional image model based on occlusion and maximum entropy","authors":"J. Stuller","doi":"10.1109/ACSSC.1995.540935","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540935","url":null,"abstract":"This paper provides new insights into the formation of two-dimensional image autocorrelation functions. We model an image as a maximum-entropy composition of individual occluding object images that have random positions, shapes and intensities. We derive the autocorrelation function of this image model, give an example, and comment on the reasonableness of the frequently-made assumptions of autocovariance separability and isotropy.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126783148","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}
G. E. Johnson, R. Muir, J.M. Scanlan, W. M. Steedly
{"title":"The sliding frequency-domain adaptive filter algorithm amenable to parallel implementation","authors":"G. E. Johnson, R. Muir, J.M. Scanlan, W. M. Steedly","doi":"10.1109/ACSSC.1995.540875","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540875","url":null,"abstract":"The adaptive filter has applications in noise reduction, echo cancellation, and equalization. In this paper, we present an implementation of the sliding frequency-domain LMS (SFDLMS) adaptive filter used as a noise canceller. A compelling interest in this algorithm is the capability to implement it in parallel form. Comparisons are made with the recursive least squares (RLS) and frequency-domain/block LMS methods for speed of convergence, number of computations, implementation complexity, MSE performance, and the uniformity of convergence across frequencies. The comparisons are made for the recovery of speech signals contaminated by additive loud audio backgrounds in nonstationary acoustic environments. Experimental results are presented for filter sizes in excess of 8000 taps.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121568680","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":"EEG tracking filter","authors":"M. M. Ekanayake, C. Lindquist","doi":"10.1109/ACSSC.1995.540628","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540628","url":null,"abstract":"The design and construction of an analog tracking filter to monitor EEG waves, is presented. The design is based on a constant bandwidth passive tuned bandpass filter and a feedback control unit to automatically tune the filter to the correct frequency. The control voltage of the feedback loop indicates the frequency of the input EEG signal. The filter tends to tune to the frequency where there is maximum energy.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115261011","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":"Two-dimensional four-parallelogram filter banks","authors":"Yuan-Pei Lin, P. Vaidyanathan","doi":"10.1109/ACSSC.1995.540854","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540854","url":null,"abstract":"The most commonly used two-dimensional filter banks are separable filter banks, which are obtained by cascading two one-dimensional (1D) filter banks in the form of a tree. The supports of the analysis and synthesis filters in the separable systems are the union of four rectangles. The natural nonseparable generalization of of such supports are the supports that are the union of four parallelograms. In this paper, we study the class of filter banks in which the supports of the analysis and synthesis filters are four parallelograms. We study various types of support configurations for the four-parallelogram filter banks. Conditions on the configurations are derived such that good design of analysis and synthesis filters are possible.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121496434","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":"Multiple-channel adaptive noise equalizers","authors":"S. Kuo","doi":"10.1109/ACSSC.1995.540899","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540899","url":null,"abstract":"This paper presents multiple-channel adaptive noise equalizers (ANE) with the desired noise shaping capability. Narrowband ANE can either amplify or attenuate narrowband noise. The output of the ANE system contains residual narrowband components, the amplitudes of which can be linearly and arbitrarily controlled by adjusting the gain parameter of the equalizer. Broadband ANE can control the residual noise spectrum by designing the shaping filter of the equalizer. These ANE systems are extended to multiple-channel applications.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127559636","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 sliding cost function algorithm for blind deconvolution","authors":"Russell H Lambert, C. Nikias","doi":"10.1109/ACSSC.1995.540536","DOIUrl":"https://doi.org/10.1109/ACSSC.1995.540536","url":null,"abstract":"A new method for blind equalization is proposed which changes the cost function of the equalizer as the convergence proceeds. Motivation for this idea is given by tests of the new \"uniform optimum\" O/sub /spl infin///sup 2/ cost function for blind equalization proposed in Satorius and Mulligan (1993), comparing it to the more familiar O/sub 4//sup 2/ Godard-like cost. The new cost achieves better asymptotic performance than O/sub 4//sup 2/ for communications data, but has a zero tracking ability measure, this being an example of the tracking/accuracy compromise of adaptive algorithms. This suggests the use of a sliding cost function algorithm which monitors the convergence state of the equalizer. The sliding cost function algorithm is developed as a \"maximum a posteriori (MAP) estimate of the blind gradient\" method for blind equalization which assumes the the data fit a generalized Gaussian distribution model. The model parameters are updated at each iteration, and the algorithm adapts its cost function so as to have good tracking ability while converging, and optimal steady state performance at convergence.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132754728","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}