{"title":"A new method for conversion of a 2's complement to canonic signed digit number system and its representation","authors":"R. Hashemian","doi":"10.1109/ACSSC.1996.599075","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.599075","url":null,"abstract":"A new technique is developed to generate canonic sign digit numbers. The technique is shown to be computationally simple and fast. In addition, a binary representation of CSD numbers, known as binary coded CSD (BCSD) number, is also presented. It is shown that a BCSD number uniquely represents its equivalent 2's complement number in the same size data-word. This property allows conversion of the number onto itself with no extra space added. An algorithm is developed to directly convert a 2's complement number to its BCSD equivalent.","PeriodicalId":270729,"journal":{"name":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124011697","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 error-correcting codec for M-ary orthogonal modulations","authors":"J. Dill, Chang-Lin Cen, A. Lindsey, Yung-Cheng Lo","doi":"10.1109/ACSSC.1996.601136","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.601136","url":null,"abstract":"A new and novel codec (coder-decoder) combining trellis coding with an M-ary orthogonal modulation is presented for application in wideband channels. The codec provides satisfactory bit error rates at lower transmitted signal power levels. Current popular coding schemes which combine coding and modulation, such as trellis coded modulation (TCM), have only been applied to narrowband channels (e.g. telephony). Looking from precisely the opposite perspective, this work assumes a large bandwidth and high dimensional signal sets. A novel trellis design affording a decoding scheme which overcomes the large computational burden of this scenario is demonstrated. Simulation results indicate that, for sufficiently high dimensionality, acceptable bit error rates are achievable with SNRs which begin to approach the Shannon limit.","PeriodicalId":270729,"journal":{"name":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123356120","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":"Nonlinear pyramids for object identification","authors":"C. A. Segall, Wei Chen, S. Acton","doi":"10.1109/ACSSC.1996.599095","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.599095","url":null,"abstract":"Image pyramids constructed via nonlinear filtering and subsampling are investigated for object identification and tracking task. Two nonlinear structures, the morphological pyramid and the anisotropic diffusion pyramid are used in coarse-to-fine target recognition algorithms. The background and theoretical development of the pyramidal strategies are presented, and important implementation decisions are discussed. Particularly, the analysis focuses on the sampling schemes and the selection of the pyramid root level for target identification. Experimental results are provided that demonstrate the performance of both nonlinear pyrimidal techniques on noisy infrared image sequences. The results show that the morphological and anisotropic diffusion pyramids allow reliable, efficient extraction of features for rapid object identification.","PeriodicalId":270729,"journal":{"name":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","volume":"389 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121380635","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":"Fast motion vector search for overlapped block motion compensation (OBMC)","authors":"Tien-Ying Kuo, J. Chalidabhongse, C.-C. Jay Kuo","doi":"10.1109/ACSSC.1996.599084","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.599084","url":null,"abstract":"The overlapped block motion compensation (OBMC) scheme provides an effective way to reduce block artifacts in video coding, and is adopted as an optional mode in the H.263 standard. However the motion vector search complexity increases significantly due to the motion interdependency of OBMC. In this work, we present a new OBMC motion vector search algorithm which reduces the computational complexity while preserving the decoded video quality. Unlike other iterative algorithms previously developed, our proposed algorithm requires no iteration during the motion vector search process. Furthermore, a fast search algorithm is adopted to reduce the search complexity. It is demonstrated by extensive experimental results that the proposed algorithm reduces a substantial amount of complexity and achieves a similar PSNR result in comparison with the existing iterative methods.","PeriodicalId":270729,"journal":{"name":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114204071","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":"Performance of blind OBE in a correlated-error environment","authors":"T. Lin, M. Nayeri, J. Deller","doi":"10.1109/ACSSC.1996.599114","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.599114","url":null,"abstract":"Conventional optimal bounding ellipsoid (OBE) algorithms require a priori knowledge of error bounds which is unknown in most applications. The OBE algorithm with automatic bound estimation (OBE-ABE) is shown to be consistently convergent without a priori knowledge of error bounds in correlated-error environments. Computationally efficient versions for both time-invariant and time-varying systems are presented. The new algorithms are compared to the conventional OBE by simulation.","PeriodicalId":270729,"journal":{"name":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116296115","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":"Exploitation of cyclostationarity for identifying nonlinear Volterra systems by input-output noisy measurements","authors":"D. Mattera, L. Paura","doi":"10.1109/ACSSC.1996.600850","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.600850","url":null,"abstract":"An identification method of nonlinear Volterra systems of finite order N by input-output measurements is proposed. The input signal is assumed to be a cyclostationary signal of the form s(k)=z(k) cos(2/spl pi//spl nu//sub 0/k) and the measures of the input and output signals are supposed to be corrupted by signal-independent additive noise. Two cases are considered for the modulating signal z(k): white at least up to 2N-order and colored Gaussian. The proposed method exploits the higher-order cyclostationarity selectivity property to reject noise and interference. Its performance analysis is carried out by computer simulations for a quadratic Volterra system.","PeriodicalId":270729,"journal":{"name":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","volume":"428 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124230134","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-pulse STAP adaptation prior to radar Doppler processing","authors":"L. Griffiths","doi":"10.1109/ACSSC.1996.600933","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.600933","url":null,"abstract":"This paper describes a space-time adaptive processing (STAP) architecture for use with radar systems. The method employs linear constraints to ensure that the Doppler spectrum of the desired signal is maintained, regardless of the covariance structure of the data matrix. In this approach, adaptive spatial/temporal processing is applied to successive radar pulses, each taken at the same range sample, to estimate the radar returns as a function of angle. If P of M pulses are employed, the method provides M-P+1 adapted output pulses which serve as inputs to the Doppler FFT processor. Examples illustrating the use of the method on Mountaintop data are provided.","PeriodicalId":270729,"journal":{"name":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125455920","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":"Application of microphone array for speech coding in noisy environment","authors":"Z. Li, M. Hoffman","doi":"10.1109/ACSSC.1996.600814","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.600814","url":null,"abstract":"To improve speech intelligibility and quality for coding, an array preprocessor is proposed to enhance noisy speech. The microphone array data is processed with a robust quadratically and linearly constrained minimum variance algorithm. The processor nulls noise and/or interference power from arbitrary spatial and frequency locations and maintains speech from desired locations, thus increasing the SNR for subsequent coding. The array and coder (LPC-10, CELP) structure is studied in terms of array processing gain and overall spectral distortion measurement. Preliminary results show that the array gain is transparent to CELP but not necessarily to LPC-10.","PeriodicalId":270729,"journal":{"name":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125974907","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":"Combined adaptive interference cancellation and bootstrap separation of dual polarized signals","authors":"H. Ge, Y. Bar-Ness, M. Visser","doi":"10.1109/ACSSC.1996.601137","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.601137","url":null,"abstract":"The use of dual polarized transmission provides a means of doubling the spectral efficiency in radio communications systems. Antenna imperfections and/or non ideal channel conditions introduce cross-polarization interference, degrading the performance. Additionally, the performance may be further degraded by the presence of a narrow-band interferer. We propose a scheme which uses an antenna array, depolarizers, and an adaptive filtering algorithm to cancel the directional co-channel interference and decorrelate the polarized information bearing channels. The proposed structure is analyzed analytically and simulation results are presented for 4-QAM or QPSK signals.","PeriodicalId":270729,"journal":{"name":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122262552","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":"Blind separation of images","authors":"H. Sahlin, H. Broman","doi":"10.1109/ACSSC.1996.600839","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.600839","url":null,"abstract":"The problem of separating two uncorrelated images from two observed mixtures of these images is considered in this paper. Each observed image is modeled as the sum of one original image and another original image filtered through a two dimensional FIR filter. An algorithm, to estimate these filters, is presented from a separation structure and a minimization of a criterion based on second order statistics. This separation structure can be used in order to extract two uncorrelated images. Simulation results are also presented.","PeriodicalId":270729,"journal":{"name":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121759789","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}