987 resultados para All-optical signal processing


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In this paper, two probabilistic adaptive algorithmsfor jointly detecting active users in a DS-CDMA system arereported. The first one, which is based on the theory of hiddenMarkov models (HMM’s) and the Baum–Wech (BW) algorithm,is proposed within the CDMA scenario and compared withthe second one, which is a previously developed Viterbi-basedalgorithm. Both techniques are completely blind in the sense thatno knowledge of the signatures, channel state information, ortraining sequences is required for any user. Once convergencehas been achieved, an estimate of the signature of each userconvolved with its physical channel response (CR) and estimateddata sequences are provided. This CR estimate can be used toswitch to any decision-directed (DD) adaptation scheme. Performanceof the algorithms is verified via simulations as well as onexperimental data obtained in an underwater acoustics (UWA)environment. In both cases, performance is found to be highlysatisfactory, showing the near–far resistance of the analyzed algorithms.

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Aim of this contribution is to illustrate the state of the art of smart antenna research from several perspectives. The bow is drawn from transmitter issues via channel measurements and modeling, receiver signal processing, network aspects, technological challenges towards first smart antenna applications and current status of standardization. Moreover, some future prospects of different disciplines in smart antenna research are given.

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A discussion on the expression proposed in [1]–[3]for deconvolving the wideband density function is presented. Weprove here that such an expression reduces to be proportionalto the wideband correlation receiver output, or continuous wavelettransform of the received signal with respect to the transmittedone. Moreover, we show that the same result has been implicitlyassumed in [1], when the deconvolution equation is derived. Westress the fact that the analyzed approach is just the orthogonalprojection of the density function onto the image of the wavelettransform with respect to the transmitted signal. Consequently,the approach can be considered a good representation of thedensity function only under the prior knowledge that the densityfunction belongs to such a subspace. The choice of the transmittedsignal is thus crucial to this approach.

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The problem of robust beamformer design for mobile communicationsapplications in the presence of moving co-channel sources isaddressed. A generalization of the optimum beamformer based on a statisticalmodel accounting for source movement is proposed. The new methodis easily implemented and is shown to offer dramatic improvements overconventional optimum beamforming for moving sources under a varietyof operating conditions.

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Identifiability of the so-called ω-slice algorithm is proven for ARMA linear systems. Although proofs were developed in the past for the simpler cases of MA and AR models, they were not extendible to general exponential linear systems. The results presented in this paper demonstrate a unique feature of the ω-slice method, which is unbiasedness and consistency when order is overdetermined, regardless of the IIR or FIR nature of the underlying system, and numerical robustness.

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This correspondence studies the formulation of members ofthe Cohen-Posch class of positive time-frequency energy distributions.Minimization of cross-entropy measures with respect to different priorsand the case of no prior or maximum entropy were considered. It isconcluded that, in general, the information provided by the classicalmarginal constraints is very limited, and thus, the final distributionheavily depends on the prior distribution. To overcome this limitation,joint time and frequency marginals are derived based on a "directioninvariance" criterion on the time-frequency plane that are directly relatedto the fractional Fourier transform.

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A comparative performance analysis of four geolocation methods in terms of their theoretical root mean square positioning errors is provided. Comparison is established in two different ways: strict and average. In the strict type, methods are examined for a particular geometric configuration of base stations(BSs) with respect to mobile position, which determines a givennoise profile affecting the respective time-of-arrival (TOA) or timedifference-of-arrival (TDOA) estimates. In the average type, methodsare evaluated in terms of the expected covariance matrix ofthe position error over an ensemble of random geometries, so thatcomparison is geometry independent. Exact semianalytical equationsand associated lower bounds (depending solely on the noiseprofile) are obtained for the average covariance matrix of the positionerror in terms of the so-called information matrix specific toeach geolocation method. Statistical channel models inferred fromfield trials are used to define realistic prior probabilities for therandom geometries. A final evaluation provides extensive resultsrelating the expected position error to channel model parametersand the number of base stations.

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This work provides a general framework for the design of second-order blind estimators without adopting anyapproximation about the observation statistics or the a prioridistribution of the parameters. The proposed solution is obtainedminimizing the estimator variance subject to some constraints onthe estimator bias. The resulting optimal estimator is found todepend on the observation fourth-order moments that can be calculatedanalytically from the known signal model. Unfortunately,in most cases, the performance of this estimator is severely limitedby the residual bias inherent to nonlinear estimation problems.To overcome this limitation, the second-order minimum varianceunbiased estimator is deduced from the general solution by assumingaccurate prior information on the vector of parameters.This small-error approximation is adopted to design iterativeestimators or trackers. It is shown that the associated varianceconstitutes the lower bound for the variance of any unbiasedestimator based on the sample covariance matrix.The paper formulation is then applied to track the angle-of-arrival(AoA) of multiple digitally-modulated sources by means ofa uniform linear array. The optimal second-order tracker is comparedwith the classical maximum likelihood (ML) blind methodsthat are shown to be quadratic in the observed data as well. Simulationshave confirmed that the discrete nature of the transmittedsymbols can be exploited to improve considerably the discriminationof near sources in medium-to-high SNR scenarios.

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This correspondence addresses the problem of nondata-aidedwaveform estimation for digital communications. Based on the unconditionalmaximum likelihood criterion, the main contribution of this correspondenceis the derivation of a closed-form solution to the waveform estimationproblem in the low signal-to-noise ratio regime. The proposed estimationmethod is based on the second-order statistics of the received signaland a clear link is established between maximum likelihood estimation andcorrelation matching techniques. Compression with the signal-subspace isalso proposed to improve the robustness against the noise and to mitigatethe impact of abnormals or outliers.

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A unified and general vision of different space-time processors is presented. Many popular receivers can beaccomodated, like V-RAKE receivers, weighted V-RAKE, or spatial narrowband beamforming. By makingappropriate assumptions on the space/time characteristic of the interference it is possible to enhance theperformance of the receiver through spatial/temporal pre-processors. These receivers will be tested in the FDDmode of UTRA.

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Meluntorjuntaan on perinteisesti käytetty passiivisia menetelmiä. Monissa sovelluksissa melua voidaan vaimentaa myös aktiivisella meluntorjunnalla. Tässä työssä tutkitaan aktiivisen meluntorjunnan signaalinkäsittelyä sekä signaalinkäsittelyyn soveltuvia laitteistoja. Lisäksi selvitetään ANC-järjestelmien (Active Noise Control) toimintaanja signaalinkäsittelyyn vaikuttavia tekijöitä. Tutkinnassa rajoitutaan yksikanavaisiin järjestelmiin. Esimerkkisovelluksena käytetään ulkotilan melunvaimennukseen soveltuvaa järjestelmää. Esimerkkijärjestelmään suunniteltiin signaalinkäsittelylaitteisto, jonka soveltuvuutta järjestelmän signaalinkäsittelyyn selvitettiin suorituskykymittauksin ja kokeellisin mittauksin.Lisäksi pohditaan signaalinkäsittelyn toteuttamista tutkittavassa järjestelmässä ja sovelluskohteessa.

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Usean nykypäivän yrityksen tietojärjestelmäinfrastruktuuri on muotoutunut heterogeeniseksi ympäristöksi, jossa eri käyttöjärjestelmä- ja laitealustoilla toimii usean eri valmistajan toimittamia järjestelmiä. Heterogeenisen ympäristön hallitsemiseksi yritykseltä vaaditaan keskitettyä tietovarastoa, johon on tallennettu tietoa käytetystä järjestelmäympäristöstä sekä sen komponenteista. Tähän tarkoitukseen Microsoft toi markkinoille vuonna 1999 Active Directory 2000 -hakemistopalvelun. Heterogeenisessa ympäristössä käyttäjien autentikointi ja auktorisointi on erittäin vaativaa. Pahimmassa tapauksessa käyttäjällä voi olla kymmeniä käyttäjätunnus-salasana-yhdistelmiä yrityksen eri tietojärjestelmiin. Lisäksi jokaisessa tietojärjestelmässäon ylläpidettävä käyttäjäkohtaisia toimintavaltuuksia. Niin käyttäjän kuin ylläpitäjänkin näkökulmasta tällainen skenaario on painajainen. Tässä diplomityössä kartoitetaan mahdollisuuksia Oracle-tietokantojen käyttäjien autentikoinnin sekä auktorisoinnin keskittämiseksi Active Directory -hakemistopalveluun. Työssä tarkastellaan tarkoitukseen soveltuvia valmiita kaupallisia ratkaisuja sekä tutkitaan mahdollisuuksia oman ratkaisumallin toteuttamiseksi umpäristöstä löytyvien ohjelmointirajapintojen avulla.

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In this article we propose a novel method for calculating cardiac 3-D strain. The method requires the acquisition of myocardial short-axis (SA) slices only and produces the 3-D strain tensor at every point within every pair of slices. Three-dimensional displacement is calculated from SA slices using zHARP which is then used for calculating the local displacement gradient and thus the local strain tensor. There are three main advantages of this method. First, the 3-D strain tensor is calculated for every pixel without interpolation; this is unprecedented in cardiac MR imaging. Second, this method is fast, in part because there is no need to acquire long-axis (LA) slices. Third, the method is accurate because the 3-D displacement components are acquired simultaneously and therefore reduces motion artifacts without the need for registration. This article presents the theory of computing 3-D strain from two slices using zHARP, the imaging protocol, and both phantom and in-vivo validation.

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Problems of the designing active magnet bearingcontrol are developed. The estimation controller are designed and applied to a rigid rotor. The mathematical model of the active magnet bearing controller is developed. This mathematical model is realized on a DSP. The results of this realization are analyzed. The conclusions about the digital signal processing are made.

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Values and value processes are said to be needed in every organization nowadays, as the world is changing and companies have to have something to "keep it together". Organizational values, which are approvedand used by the personnel, could be the key. Every organization has values. But what is the real value of values? The greatest and most crucial challenge is the feasibility of the value process. The main point in this thesis is tostudy how organizational members at different hierarchical levels perceive values and value processes in their organizations. This includes themes such as how values are disseminated, the targets of value processing, factors that affect the process, problems that occur during the value implementation and improvements that could be made when organizational values are implemented. These subjects are studied from the perspective of organizational members (both managers and employees); individuals in the organizations. The aim is to get the insider-perspective on value processing, from multiple hierarchical levels. In this research I study three different organizations (forest industry, bank and retail cooperative) and their value processes. The data is gathered from companies interviewing personnel in the head office and at the local level. The individuals areseen as members of organizations, and the cultural aspect is topical throughout the whole study. Values and cultures are seen as the 'actuality of reality' of organizations, interpreted by organizational members. The three case companies were chosen because they represented different lines of business and they all implemented value processing differently. Sincethe emphasis in this study is at the local level, the similar size of the local units was also an important factor. Values are in 'fashion' -but what does the fashion tell us about the real corporate practices? In annual reports companies emphasize the importance and power of official values. But what is the real 'point' of values? Values are publicly respected and advertised, but still it seems that the words do not meet the deeds. There is a clear conflict between theoretical, official and substantive organizational values: in the value processing from words to real action. This contradiction in value processing is studied through individual perceptions in this study. I study the kinds of perceptions organizationalmembers have when values are processed from the head office to the local level: the official value process is studied from the individual's perspective. Value management has been studied more during the 1990's. The emphasis has usually been on managers: how they consider the values in organizations and what effects it has on the management. Recent literature has emphasized values as tools for improving company performance. The value implementation as a process has been studied through 'good' and 'bad' examples, as if one successful value process could be copied to all organizations. Each company is different with different cultures and personnel, so no all-powerful way of processing values exists. In this study, the organizational members' perceptions at different hierarchical levels are emphasized. Still, managers are also interviewed; this is done since managerial roles in value dissemination are crucial. Organizational values cannot be well disseminated without management; this has been proved in several earlier studies (e.g. Kunda 1992, Martin 1992, Parker 2000). Recent literature has not sufficiently emphasized the individual's (organizational member's) role in value processing. Organizations consist of differentindividuals with personal values, at all hierarchical levels. The aim in this study is to let the individual take the floor. Very often the value process is described starting from the value definition and ending at dissemination, and the real results are left without attention. I wish to contribute to this area. Values are published officially in annual reports etc. as a 'goal' just like profits. Still, the results/implementationof value processing is rarely followed, at least in official reports. This is a very interesting point: why do companies espouse values, if there is no real control or feedback after the processing? In this study, the personnel in three different companies is asked to give an answer. In the empirical findings, there are several results which bring new aspects to the research area of organizational values. The targets of value processing, factors effecting value processing, the management's roles and the problems in value implementation are presented through the individual's perspective. The individual's perceptions in value processing are a recurring theme throughout the whole study. A comparison between the three companies with diverse value processes makes the research complete