ML approaches to channel estimation for pilot-aided multi-rate DS/CDMA systems

This paper analyzes the asymptotic performance of maximum likelihood (ML) channel estimation algorithms in wideband code division multiple access (WCDMA) scenarios. We concentrate on systems with periodic spreading sequences (period larger than or equal to the symbol span) where the transmitted signal contains a code division multiplexed pilot for channel estimation purposes. First, the asymptotic covariances of the training-only, semi-blind conditional maximum likelihood (CML) and semi-blind Gaussian maximum likelihood (GML) channelestimators are derived. Then, these formulas are further simplified assuming randomized spreading and training sequences under the approximation of high spreading factors and high number of codes. The results provide a useful tool to describe the performance of the channel estimators as a function of basicsystem parameters such as number of codes, spreading factors, or traffic to training power ratio.

Joint array combining and MLSE for single-user receivers in multipath Gaussian multiuser channels

The well-known structure of an array combiner along with a maximum likelihood sequence estimator (MLSE) receiveris the basis for the derivation of a space-time processor presentinggood properties in terms of co-channel and intersymbol interferencerejection. The use of spatial diversity at the receiver front-endtogether with a scalar MLSE implies a joint design of the spatialcombiner and the impulse response for the sequence detector. Thisis faced using the MMSE criterion under the constraint that thedesired user signal power is not cancelled, yielding an impulse responsefor the sequence detector that is matched to the channel andcombiner response. The procedure maximizes the signal-to-noiseratio at the input of the detector and exhibits excellent performancein realistic multipath channels.

Waveform-independent frame-timing acquisition for UWB signals

In this paper, the problem of frame-level symboltiming acquisition for UWB signals is addressed. The main goalis the derivation of a frame-level timing estimator which does notrequire any prior knowledge of neither the transmitted symbolsnor the received template waveform. The independence withrespect to the received waveform is of special interest in UWBcommunication systems, where a fast and accurate estimation ofthe end-to-end channel response is a challenging and computationallydemanding task. The proposed estimator is derived under theunconditional maximum likelihood criterion, and because of thelow power of UWB signals, the low-SNR assumption is adopted. Asa result, an optimal frame-level timing estimator is derived whichoutperforms existing acquisition methods in low-SNR scenarios.

Second-order parameter estimation

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.

Mapping genetic variants associated with beta-adrenergic responses in inbred mice.

β-blockers and β-agonists are primarily used to treat cardiovascular diseases. Inter-individual variability in response to both drug classes is well recognized, yet the identity and relative contribution of the genetic players involved are poorly understood. This work is the first genome-wide association study (GWAS) addressing the values and susceptibility of cardiovascular-related traits to a selective β(1)-blocker, Atenolol (ate), and a β-agonist, Isoproterenol (iso). The phenotypic dataset consisted of 27 highly heritable traits, each measured across 22 inbred mouse strains and four pharmacological conditions. The genotypic panel comprised 79922 informative SNPs of the mouse HapMap resource. Associations were mapped by Efficient Mixed Model Association (EMMA), a method that corrects for the population structure and genetic relatedness of the various strains. A total of 205 separate genome-wide scans were analyzed. The most significant hits include three candidate loci related to cardiac and body weight, three loci for electrocardiographic (ECG) values, two loci for the susceptibility of atrial weight index to iso, four loci for the susceptibility of systolic blood pressure (SBP) to perturbations of the β-adrenergic system, and one locus for the responsiveness of QTc (p<10(-8)). An additional 60 loci were suggestive for one or the other of the 27 traits, while 46 others were suggestive for one or the other drug effects (p<10(-6)). Most hits tagged unexpected regions, yet at least two loci for the susceptibility of SBP to β-adrenergic drugs pointed at members of the hypothalamic-pituitary-thyroid axis. Loci for cardiac-related traits were preferentially enriched in genes expressed in the heart, while 23% of the testable loci were replicated with datasets of the Mouse Phenome Database (MPD). Altogether these data and validation tests indicate that the mapped loci are relevant to the traits and responses studied.

Fructose Rich Diet-Induced High Plasminogen Activator Inhibitor-1 (PAI-1) Production in the Adult Female Rat: Protective Effect of Progesterone.

The effect of progesterone (P4) on fructose rich diet (FRD) intake-induced metabolic, endocrine and parametrial adipose tissue (PMAT) dysfunctions was studied in the adult female rat. Sixty day-old rats were i.m. treated with oil alone (control, CT) or containing P4 (12 mg/kg). Rats ate Purina chow-diet ad libitum throughout the entire experiment and, between 100 and 120 days of age drank ad libitum tap water alone (normal diet; CT-ND and P4-ND) or containing fructose (10% w/v; CT-FRD and P4-FRD). At age 120 days, animals were subjected to a glucose tolerance test or decapitated. Plasma concentrations of various biomarkers and PMAT gene abundance were monitored. P4-ND (vs. CT-ND) rats showed elevated circulating levels of lipids. CT-FRD rats displayed high (vs. CT-ND) plasma concentrations of lipids, leptin, adiponectin and plasminogen activator inhibitor-1 (PAI-1). Lipidemia and adiponectinemia were high (vs. P4-ND) in P4-FRD rats. Although P4 failed to prevent FRD-induced hyperleptinemia, it was fully protective on FRD-enhanced plasma PAI-1 levels. PMAT leptin and adiponectin mRNAs were high in CT-FRD and P4-FRD rats. While FRD enhanced PMAT PAI-1 mRNA abundance in CT rats, this effect was absent in P4 rats. Our study supports that a preceding P4-enriched milieu prevented the enhanced prothrombotic risk induced by FRD-elicited high PAI-1 production.

Paperin pinnan karakterisoinnin ja painettavuuden tutkimusmenetelmät

Työn tarkoituksena on ollut tutkia paperin pinnan karakterisoinnin menetelmiä ja tehdä katsauspaperin painettavuuden ennustamisen tutkimuksiin. Kaikkien kehitettyjen menetelmien tarkoituksena on tavalla tai toisella mitata paperin visuaalista vaikutelmaa loppukäyttäjän kannalta sekä ennustaa paperin painettavuutta. Menetelmiä on kehitetty aina 1940-luvulta lähtien ja tekniikan kehittyessä markkinoille tulee uusia menetelmiä, jotka ovat nopeampia ja tarkempia kuin edeltäjänsä. Työssä tarkasteltavat menetelmät on jaoteltu mekaanisiin, optisiin ja elektronisäteilyn läpäisyyn perustuviin menetelmiin. Lopuksi on tarkasteltu tutkimuksia, joiden pääasiallinen tarkoitus on ollut kehittää mittalaitteita ennustamaan paperin painotulosta todellisissa painatusolosuhteissa. Laboratoriolaitteita ja on-line-mittareita ei ole jaoteltu erikseen, koska menetelmän perusteella on helppo havaita, voiko laite mitata jotakin paperin ominaisuutta jopa yli 40 metriä sekunnissa liikkuvalla paperirainalla.

Luotettavuuskeskeisen kunnossapidon soveltaminen vaneriteollisuuden koneille

Diplomityön tarkoituksena on tutkia luotettavuuskeskeisen kunnossapidon soveltamista Raute Oyj:n vanerikoneille. Työn tavoitteena on luoda suunnitelma luotettavuuskeskeisen kunnossapidon soveltamiseksi Raute Oyj:llä. Tavoitteena on myös kehittää malli ennakkohuoltosuunnitelmien sekä kriittisten huoltojen ja varaosien määrittelyyn päälinjoille. Kunnossapitoliiketoiminta on Rautella voimakkaasti kasvava liiketoiminta-alue. Voimakkaan kasvun seurauksena on yritykseen syntynyt kunnossapitotoimintojen kehitystarve. Luotettavuuskeskeistä kunnossapitoa hyödyntämällä on tarkoitus kehittää vanerikoneiden kunnossapitoa ja luoda Rautelle kunnossapitotuotteita. Työssä on tutkittu luotettavuuskeskeisen kunnossapidon soveltamista va-neriteollisuuden koneille laitevalmistajan näkökulmasta. Työssä on käsitelty kirjallisuuden pohjalta vanerin valmistusprosessia, vanerikoneita, kunnossapitoa sekä luotettavuuskeskeistä kunnossapitoa. Lisäksi on selvitetty vanerikoneiden kunnossapidon nykytilaa Raute Oyj:llä ja sen asiakkaiden vaneritehtaissa. Työn tuloksena syntyi toimintaehdotus luotettavuuskeskeisen kunnossapidon soveltamiseksi Rauten tuotteille. Ennakkohuoltosuunnitelmien luomiseen ja kehittämiseen työssä syntyi kunnossapitomalli, jonka pohjalta työssä luotiin xy-pöllinkeskittäjälle luotettavuuskeskeiseen kunnossapitoon perustuva ennakkohuoltosuunnitelma sekä määritettiin kriittiset varaosat.

Quantile Estimation in Non-Stationary Streaming Data

We provide an incremental quantile estimator for Non-stationary Streaming Data. We propose a method for simultaneous estimation of multiple quantiles corresponding to the given probability levels from streaming data. Due to the limitations of the memory, it is not feasible to compute the quantiles by storing the data. So estimating the quantiles as the data pass by is the only possibility. This can be effective in network measurement. To provide the minimum of the mean-squared error of the estimation, we use parabolic approximation and for comparison we simulate the results for different number of runs and using both linear and parabolic approximations.

Robust Estimators of the Generalized Log-Gamma Distribution

We propose robust estimators of the generalized log-gamma distribution and, more generally, of location-shape-scale families of distributions. A (weighted) Q tau estimator minimizes a tau scale of the differences between empirical and theoretical quantiles. It is n(1/2) consistent; unfortunately, it is not asymptotically normal and, therefore, inconvenient for inference. However, it is a convenient starting point for a one-step weighted likelihood estimator, where the weights are based on a disparity measure between the model density and a kernel density estimate. The one-step weighted likelihood estimator is asymptotically normal and fully efficient under the model. It is also highly robust under outlier contamination. Supplementary materials are available online.

Linjasekoittimensekoituskyvyn määrittäminen

Työn tavoitteena oli kehittää sekoituskyvyn empiirinen monimuuttujafunktio eräälle dynaamiselle linjasekoittimelle. Monimuuttujafunktio oli tarkoitus kehittää sekoittimen kierrosnopeuden, virtaavien materiaalien ja tilavuusvirtausten perus-teella. Työn kirjallisuusosassa tarkasteltiin pääosin dynaamisia linjasekoittimia ja niiden toimintaperiaatteita sekä sekoituskyvyn määrittämiseen soveltuvia mittausmene-telmiä. Sekoitettavien aineiden epähomogeenisuus määritettiin mittaamalla termoelemen-teillä sekoittimen jälkeisen virran lämpötilavaihtelut. Sekoitettavina aineina käy-tettiin kolmea erilaista seosta: vesi-vesi-, kuitususpensio-vesi- ja karboksyylime-tyyliselluloosa-vesiseoksia. Muita muuttujia kokeissa olivat neljä eri sekoittimen kierrosnopeutta, neljä eri päävirran tilavuusvirtausta ja kolme päävirran sekäsii-hen lisättävän sivuvirran suhdetta. Monimuuttujafunktiokehitettiin vain kuitususpensio-vesiajojen pohjalta muilla seoksilla tehtyjen koeajojen osittaisen epäonnistumisen vuoksi. Hallitsevaksi pa-rametriksi monimuuttujafunktiossa osoittautui sekoittimen kierrosnopeus. Osittai-nen epäonnistuminen kokeissa johtui osaksi termoelementtien käytön sopimatto-muudesta sekoituskyvyn määrittämiseen ja osaksi sekoitettavien aineiden valin-nasta. Jatkotutkimuksiaajatellen muista sekoituskyvyn mittaamiseen käytettävissä olevista menetelmistäkäyttökelpoisimmaksi arvioitiin sähkötomografia.

Welding time models for cost calculations in the early stages of the design process

It is generally accepted that between 70 and 80% of manufacturing costs can be attributed to design. Nevertheless, it is difficult for the designer to estimate manufacturing costs accurately, especially when alternative constructions are compared at the conceptual design phase, because of the lack of cost information and appropriate tools. In general, previous reports concerning optimisation of a welded structure have used the mass of the product as the basis for the cost comparison. However, it can easily be shown using a simple example that the use of product mass as the sole manufacturing cost estimator is unsatisfactory. This study describes a method of formulating welding time models for cost calculation, and presents the results of the models for particular sections, based on typical costs in Finland. This was achieved by collecting information concerning welded products from different companies. The data included 71 different welded assemblies taken from the mechanical engineering and construction industries. The welded assemblies contained in total 1 589 welded parts, 4 257 separate welds, and a total welded length of 3 188 metres. The data were modelled for statistical calculations, and models of welding time were derived by using linear regression analysis. Themodels were tested by using appropriate statistical methods, and were found to be accurate. General welding time models have been developed, valid for welding in Finland, as well as specific, more accurate models for particular companies. The models are presented in such a form that they can be used easily by a designer, enabling the cost calculation to be automated.

Identification-commitment inventory (ICI-Model): confirmatory factor analysis and construct validity

The aim of this study is to confirm the factorial structure of the Identification-Commitment Inventory (ICI) developed within the frame of the Human System Audit (HSA) (Quijano et al. in Revist Psicol Soc Apl 10(2):27-61, 2000; Pap Psicól Revist Col Of Psicó 29:92-106, 2008). Commitment and identification are understood by the HSA at an individual level as part of the quality of human processes and resources in an organization; and therefore as antecedents of important organizational outcomes, such as personnel turnover intentions, organizational citizenship behavior, etc. (Meyer et al. in J Org Behav 27:665-683, 2006). The theoretical integrative model which underlies ICI Quijano et al. (2000) was tested in a sample (N = 625) of workers in a Spanish public hospital. Confirmatory factor analysis through structural equation modeling was performed. Elliptical least square solution was chosen as estimator procedure on account of non-normal distribution of the variables. The results confirm the goodness of fit of an integrative model, which underlies the relation between Commitment and Identification, although each one is operatively different.

Robust Estimates of the Negative Binomial Model

We consider robust parametric procedures for univariate discrete distributions, focusing on the negative binomial model. The procedures are based on three steps: ?First, a very robust, but possibly inefficient, estimate of the model parameters is computed. ?Second, this initial model is used to identify outliers, which are then removed from the sample. ?Third, a corrected maximum likelihood estimator is computed with the remaining observations. The final estimate inherits the breakdown point (bdp) of the initial one and its efficiency can be significantly higher. Analogous procedures were proposed in [1], [2], [5] for the continuous case. A comparison of the asymptotic bias of various estimates under point contamination points out the minimum Neyman's chi-squared disparity estimate as a good choice for the initial step. Various minimum disparity estimators were explored by Lindsay [4], who showed that the minimum Neyman's chi-squared estimate has a 50% bdp under point contamination; in addition, it is asymptotically fully efficient at the model. However, the finite sample efficiency of this estimate under the uncontaminated negative binomial model is usually much lower than 100% and the bias can be strong. We show that its performance can then be greatly improved using the three step procedure outlined above. In addition, we compare the final estimate with the procedure described in

Movilidad intergeneracional y emparejamiento selectivo en España

This paper examines the role of assortative mating in the intergenerational economic mobility in Spain. Sons and daughters usually marry individuals with similar characteristics, which may lower mobility. Our empirical strategy employs the Two-sample two-stage least squares estimator to estimate the intergenerational income elasticity in absence of data for two generations not residing in the same household. Our findings suggest that assortative mating plays an important role in the intergenerational transmission process. On average about 50 per 100 of the covariance between parents’ income and child family’s incomecan be accounted for by the person the child is married to