{"title":"Asymptotic Analysis of Marginal-Likelihood Based Estimators for m-Dependent Processes","authors":"Y. Noam, J. Tabrikian","doi":"10.1109/EEEI.2006.321070","DOIUrl":"https://doi.org/10.1109/EEEI.2006.321070","url":null,"abstract":"This paper derives and analyzes the asymptotic performances of the maximum-likelihood (ML) estimator derived under the assumption of independent identically distribution (i.i.d.) samples, where in the actual model the signal samples are m-dependent. The ML under such a modeling mismatch is based on the marginal likelihood function, and is referred to as marginal maximum likelihood (MML). Under some regularity conditions, the asymptotical distribution of the MML is derived. The asymptotical distributions in some signal processing examples are analyzed. Simulation results support the theory via an example.","PeriodicalId":142814,"journal":{"name":"2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114977569","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":"Bounds on the Error Exponent of the AWGN Channel with AWGN-Corrupted Feedback","authors":"Young-Han Kim, A. Lapidoth, T. Weissman","doi":"10.1109/EEEI.2006.321140","DOIUrl":"https://doi.org/10.1109/EEEI.2006.321140","url":null,"abstract":"We derive bounds on the error exponent of the AWGN channel with AWGN-corrupted feedback. The bounds appear to be new even for transmission at zero rate. Our approach is applicable to the derivation of upper bounds on the error exponents in various other scenarios involving channels with feedback.","PeriodicalId":142814,"journal":{"name":"2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel","volume":"124 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129657392","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":"Adaptive loading for MIMO and MIMO-OFDM channels","authors":"Erez Wineberger, O. Amrani","doi":"10.1109/EEEI.2006.321120","DOIUrl":"https://doi.org/10.1109/EEEI.2006.321120","url":null,"abstract":"Adaptive bit loading algorithms are proposed for MIMO and MIMO-OFDM systems, thus better exploiting space and frequency diversity. Constant power allocation is assumed over all subchannels while the bit error rate is unconstrained. An efficient bit loading algorithm, which maximizes system bit rate under target mean BER constraint is formulated for a multiple antenna system. Simulation results validate that the BER improvement achieved by using the BER-allocation algorithm in the MIMO-OFDM case is significant.","PeriodicalId":142814,"journal":{"name":"2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114306438","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":"Bit loading for OFDM with Quasi-constant transmission power","authors":"Elad Izhak, O. Amrani","doi":"10.1109/EEEI.2006.321076","DOIUrl":"https://doi.org/10.1109/EEEI.2006.321076","url":null,"abstract":"This work addresses the problem of adaptive bit loading typically employed for approaching the capacity of a fading channel. Multi-carrier transmission over frequency-selective fading is employed. In particular, this work is concerned with the question of obtaining an adaptation technique that will keep the transmitted power as constant as possible over all subcarriers, i.e. quasi-constant transmission power, assuming a general, un-constrained set of coded-modulation schemes. A computationally efficient algorithm is described for solving this so-called minimum-deviation problem. The proposed solution is shown to be optimum under a given set of constraints. It is also demonstrated, via simulations, to provide throughput comparable to other known methods whose aim is to optimize system throughput.","PeriodicalId":142814,"journal":{"name":"2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125493347","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":"Array Processing in the Presence of Inter-Sensor Mutual Coupling","authors":"A. Kisliansky, R. Shavit, J. Tabrikian","doi":"10.1109/EEEI.2006.321141","DOIUrl":"https://doi.org/10.1109/EEEI.2006.321141","url":null,"abstract":"In this paper the subject of inter-sensor coupling in antenna arrays and its effect on source-localization performance is addressed. A new approach for direct calculation of the port noise covariance matrix in antenna arrays is presented. The proposed approach is based on applying the theory of noisy linear networks in antenna arrays using the method of moments (MoM) impedance matrix to account for the noise mutual coupling between the array elements. The noise model considers both the external noise sources from sky, ground and interference and internal noise sources from amplifiers and loads. The theory is demonstrated in the source localization performance analysis of a vector-sensor antenna array, and of a newly presented two orthogonal loop vector wire antenna. It is shown that the noise coupling in antenna arrays may substantially alter the behavior of the array and should be taken into account in the design process and in the performance evaluation of the array.","PeriodicalId":142814,"journal":{"name":"2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131457027","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 a Rate-Distortion Model for Color Images using a Correlation-Based Approach","authors":"E. Gershikov, Emilia Lavi-Burlak, M. Porat","doi":"10.1109/EEEI.2006.321112","DOIUrl":"https://doi.org/10.1109/EEEI.2006.321112","url":null,"abstract":"Although most image compression algorithms deal today with color images, the theory behind the compression process is based mainly on monochrome tools. The common approach to color image coding is to decrease the high inter-color correlations in the RGB domain by transforming the color primaries into a de-correlated color space prior to coding. In this work we present a different approach, called Correlation Based Approach (CBA). Instead of de-correlating the color primaries, we exploit the inter-color correlation to approximate two of the color components as a polynomial function of the third color component, or the base color. We then suggest to code the expansion coefficients of the polynomial functions and at least partly the approximation errors. We use the DCT (Discrete Cosine Transform) block transform to enhance the algorithm's performance. Thus the approximation of two of the colors relative to the base color is performed for each DCT subband separately. We also use the Rate-Distortion theory of subband transform coders to optimize the algorithm's bit allocation to each subband and also to find the optimal color components transform to be applied prior to coding. This pre-processing stage may further enhance the algorithm's performance. Simulation results are provided showing that the new CBA algorithm is superior to algorithms based on the common de-correlation approach, such as JPEG, when using the same tools for image coding.","PeriodicalId":142814,"journal":{"name":"2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130228443","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":"Control and Feedback Organization -- Review and Terminology","authors":"I. Rusnak","doi":"10.1109/EEEI.2006.321092","DOIUrl":"https://doi.org/10.1109/EEEI.2006.321092","url":null,"abstract":"The issue of organization of the feedback loops and control algorithms to achieve the objective of required performance is reviewed. For SISO system there are the one, two and (n) degrees of freedom architectures. These are based on heuristic, experience, intuition and experimentation. The control systems literature lacks concise and comprehensive definitions required for the clear and unique description of the control-feedback organization issue. As an introduction a terminology is defined at the system theoretic level. Using these definitions the problem of feedback organization is defined over the set theory within the well-established functional analysis and optimal control theories.","PeriodicalId":142814,"journal":{"name":"2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131769045","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":"Tracking a MIMO Channel Singular Value Decomposition via Projection Approximation","authors":"S. Gannot, Amir Leshem, O. Shayevitz, Ephi Zehavi","doi":"10.1109/EEEI.2006.321109","DOIUrl":"https://doi.org/10.1109/EEEI.2006.321109","url":null,"abstract":"A bidirectional multiple-input multiple-output (MIMO) time varying channel is considered. The projection approximation subspace tracking (PAST) algorithm is used on both terminals in order to track the singular value decomposition of the channel matrix. Simulations using an autoregressive channel model and also a sampled MIMO indoor channel are performed, and the expected capacity degradation due to the estimation error is evaluated.","PeriodicalId":142814,"journal":{"name":"2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130914148","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":"Parallel Processing for a DSP Application using FPGA","authors":"N. Thirer, A. Souhami","doi":"10.1109/EEEI.2006.321117","DOIUrl":"https://doi.org/10.1109/EEEI.2006.321117","url":null,"abstract":"In this paper we discuss a parallel architecture for an FPGA system including several embedded simple micro-processors (¿P), for a digital signal processing application (DSP). Each ¿P in the system has a different purpose and a separate code unit, but all the ¿Ps share the same data unit. The architecture of the ¿P can vary in type ¿ it may be designed in the traditional form of a ¿P, or as a FIR filter, a video pattern generator and so on. Such systems can constitute a good solution when the DSP's main process can be divided into several processes. Every ¿P can be reprogrammed to perform more than one function, and a superscalar operation mode can be introduced and controlled by the programmer. This type of platform was designed and experimented for an audio synthesizer system.","PeriodicalId":142814,"journal":{"name":"2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127818833","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":"Color Image Compression using Mutual Spectral Information","authors":"Emilia Lavi-Burlak, M. Porat","doi":"10.1109/EEEI.2006.321146","DOIUrl":"https://doi.org/10.1109/EEEI.2006.321146","url":null,"abstract":"Most image compression algorithms tend to decorrelate the RGB color components as part of the compression process. Nevertheless, the high correlation between color components could be helpful if mutual spectral information is exploited in the compression process. In this paper we introduce a new approach to color image compression that increases and exploits the high mutual spectral information of RGB components to improve the results' quality. Simulation results are presented and discussed. Our conclusion is that higher correlation between color components could contribute to improved image compression and be superior to the common approach of decorrelated image components.","PeriodicalId":142814,"journal":{"name":"2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115725809","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}