{"title":"Performance analysis of a frequency-domain solution to unbiased equation error system identification","authors":"Jitendra Tugnait, C. Tontiruttananon","doi":"10.1109/ACSSC.1996.599118","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.599118","url":null,"abstract":"We consider a frequency-domain solution to the least-squares equation error identification problem using the power spectrum and the cross-spectrum of the IO (input-output) data to estimate the IO parametric transfer function. The proposed approach is shown to yield a unimodal performance surface, consistent identification in colored noise and sufficient-order case, and stable fitted models under undermodeling for arbitrary stationary inputs so long as they are persistently exciting of sufficiently high order. Some of the well-known time-domain approaches (including the prediction error, the output error, the Steiglitz-McBride, the least-squares and the instrumental variable methods) fail to satisfy one or more of these properties. Asymptotic performance analysis is carried out for both sufficient-order and reduced-order cases. Computer simulation results are presented to illustrate the proposed approach.","PeriodicalId":270729,"journal":{"name":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","volume":"28 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":"123768510","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":"Choosing the system moduli of RNS arithmetic processors","authors":"K. Elleithy","doi":"10.1109/ACSSC.1996.600859","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.600859","url":null,"abstract":"Designing an optimal residue number system (RNS) processor in terms of area and speed depends on the choice of the system moduli. In this paper an optimal algorithm for choosing the system moduli is presented. The algorithm takes into consideration several constraints imposed by the problem definition. The problem is formalized as an integer programming problem to optimize an area/time objective function.","PeriodicalId":270729,"journal":{"name":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","volume":"15 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":"125289340","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":"Feature extraction for automatic speech recognition (ASR)","authors":"B. Swartz, N. Magotra","doi":"10.1109/ACSSC.1996.601153","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.601153","url":null,"abstract":"This paper presents a new speech feature extraction technique for use in automatic speech recognition (ASR). The technique is based on a new two-dimensional series expansion that is applied to the spectrogram of a sampled speech signal. The series expansion allows for global analysis in frequency and local multiresolution analysis in time. Multiresolution analysis in time is useful because the duration of vowels is almost an order of magnitude greater than that of consonants.","PeriodicalId":270729,"journal":{"name":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","volume":"5 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":"125373530","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":"SAR image compression","authors":"F. A. Sakarya, S. Emek","doi":"10.1109/ACSSC.1996.599066","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.599066","url":null,"abstract":"Classical image compression algorithms such as discrete cosine transform (DCT), Karhunen-Loeve transform (KLT), and subband decomposition using wavelet filters (SDWF) are well-understood for optical imaging. However, their applications to synthetic aperture radar (SAR) images have not been well-studied. This paper applies DCT, KLT and SDWF to raw SAR images after appropriate preprocessing, and compares the results based on three performance criteria, namely energy gain (E/sub C/), transform coding gain (G/sub T/), and peak-to-peak signal-to-noise ratio (PSNR).","PeriodicalId":270729,"journal":{"name":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","volume":"2 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":"122655227","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":"Low complexity receivers for CDMA communications over frequency-selective channels","authors":"Hui Liu, Kemin Li","doi":"10.1109/ACSSC.1996.601122","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.601122","url":null,"abstract":"A number of studies show that multiuser detection in CDMA communications can be performed blindly even in a frequency-selective fading environment. However, the computational cost of these blind approaches is magnitudely higher than that of adaptive MMSE receivers which require knowledge of the desired user's signature waveform. The problem is alleviated by Tsatsanis and Bora (see IEEE Transactions on Signal Processing, 1997) where a low complexity blind algorithm is proposed at the expense of reception performance. We present a totally blind adaptive method which yields near optimum performance with complexity comparable to that of the nonblind MMSE receivers.","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":"114156702","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":"Characterizing prediction error distributions for lossless image compression","authors":"G. Langdon, A. Zandi","doi":"10.1109/ACSSC.1996.601087","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.601087","url":null,"abstract":"In predictive coding for lossless image compression, full knowledge of the prediction error distribution and efficient coding with an arithmetic coding method is the best one can do with the 0-order model assumption. The zero-order error distributions typically are Laplacian with zero mean. Higher-order error distributions are often skewed with a mean that is often positive or negative. Additional compression is achieved by an accurate characterization of context-dependent error distributions. This paper presents the results of a study the different characteristics of the error distributions found in higher-order conditioning contexts of the LOCO and CALIC algorithms. The study includes nonstationary behavior.","PeriodicalId":270729,"journal":{"name":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","volume":"10 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":"122157046","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":"Experiments with interactive tutorial software for DSP and related mathematics","authors":"S. Wood","doi":"10.1109/ACSSC.1996.600861","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.600861","url":null,"abstract":"Tutorial software has been developed to help increase the effectiveness of learning and the communication of course material for undergraduate courses in signal processing, communications, linear systems, and logic design. This software was designed to be a portable resource for both instructors and students which focuses on relationships of concepts that may span multiple courses. This paper describes design objectives, the development effort, student use of the software, and the implications for future development.","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":"129780660","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 using 1-out-of-n codes for (p,q) counter implementations","authors":"R. McIlhenny, M. Ercegovac","doi":"10.1109/ACSSC.1996.600854","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.600854","url":null,"abstract":"A new approach for implementing (p,q) counters is introduced, using 1-out-of-n code modules. The circuits were implemented in 1.2 /spl mu/m CMOS technology, and simulated using HSpice to measure the cost, delay, and average power consumption. Through simulation, the new method is shown to yield an average 19% reduction in critical delay, and an average 30% reduction in average power consumption, with the tradeoff of a 38% increase in average cost.","PeriodicalId":270729,"journal":{"name":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","volume":"4 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":"128796583","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":"Joint direction finding, signal and channel response estimation for a polynomial phase signal in a multipath channel","authors":"A. Zeira, B. Friedlander","doi":"10.1109/ACSSC.1996.601146","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.601146","url":null,"abstract":"In this paper we study the joint estimation of the direction-of-arrival (DOA), signal and channel parameters for an unknown polynomial phase signal in a multipath channel. We derive the Cramer Rao bound (CRB), and use it to study the dependence of the optimal performance on the SNR, and the spatial and temporal separation, of the different paths. Finally, we compare the optimal DOA estimation performance to the performance achievable by several suboptimal estimators, and to the performance achievable in the presence of a single propagation path.","PeriodicalId":270729,"journal":{"name":"Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers","volume":"5 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":"128997838","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":"Prefilter design using the singular value decomposition for MIMO equalization","authors":"Bong-Gee Song, J. Ritcey","doi":"10.1109/ACSSC.1996.600812","DOIUrl":"https://doi.org/10.1109/ACSSC.1996.600812","url":null,"abstract":"This paper describes a new prefilter design method for MIMO communication channels with equalizers. The prefilter is designed in the frequency domain to make the channel easier to equalize. We apply the singular value decomposition (SVD) of the channel frequency response to design the prefilter. The new prefilter achieves a performance improvement at high signal to noise ratio (SNR) while keeping the performance at low SNR. We also show the advantage of transmitter diversity.","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":"129736320","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}