Estimation of signals in colored non gaussian noise based on Gaussian Mixture models

Non-Gaussianity of signals/noise often results in significant performance degradation for systems, which are designed using the Gaussian assumption. So non-Gaussian signals/noise require a different modelling and processing approach. In this paper, we discuss a new Bayesian estimation technique for non-Gaussian signals corrupted by colored non Gaussian noise. The method is based on using zero mean finite Gaussian Mixture Models (GMMs) for signal and noise. The estimation is done using an adaptive non-causal nonlinear filtering technique. The method involves deriving an estimator in terms of the GMM parameters, which are in turn estimated using the EM algorithm. The proposed filter is of finite length and offers computational feasibility. The simulations show that the proposed method gives a significant improvement compared to the linear filter for a wide variety of noise conditions, including impulsive noise. We also claim that the estimation of signal using the correlation with past and future samples leads to reduced mean squared error as compared to signal estimation based on past samples only.

An Empirical Study of the Mixture of Time and Movements in Prices

This paper investigates the persistent pattern in the Helsinki Exchanges. The persistent pattern is analyzed using a time and a price approach. It is hypothesized that arrival times are related to movements in prices. Thus, the arrival times are defined as durations and formulated as an Autoregressive Conditional Duration (ACD) model as in Engle and Russell (1998). The prices are defined as price changes and formulated as a GARCH process including duration measures. The research question follows from market microstructure predictions about price intensities defined as time between price changes. The microstructure theory states that long transaction durations might be associated with both no news and bad news. Accordingly, short durations would be related to high volatility and long durations to low volatility. As a result, the spread will tend to be larger under intensive moments. The main findings of this study are 1) arrival times are positively autocorrelated and 2) long durations are associated with low volatility in the market.

Interpretation of Services Marketing Concepts

Scholarly research has produced conceptual knowledge that is based on real-life marketing phenomena. An initial aim of past research has been to produce marketing knowledge as a base for efficient business operation and for the improvement of productivity. Thus, an assumption has been that the knowledge would be applied by organisations. This study focuses on understanding the use of marketing knowledge within the field of service marketing. Hence, even if marketing knowledge about service-oriented principles and marketing of services is based on empirical research, there is a lack of knowledge on how this marketing knowledge is in fact applied by businesses. The study focuses on four essential concepts of services marketing knowledge, namely service quality, servicescape, internal marketing, and augmented service offering. The research involves four case companies. Data is based on in depth interviews and questionnaire-based surveys conducted with managers, employees, and customers of these companies. All organisations were currently developing in a service-oriented and customer-oriented direction. However, we found limitations, gaps, and barriers for the implementation of service-oriented and customer-oriented principles. Hence, we argue that the organisations involved in the study exploited conceptual knowledge symbolically and conceptually, but the instrumental use of knowledge was limited. Due to the shortcomings found, we also argue that the implementation of the various practices and processes that are related to becoming service-oriented and customer-oriented has not been fully successful. Further, we have come to the conclusion that the shortcomings detected were at least in some respect related to the fact that the understanding and utilisation of conceptual knowledge of service-oriented principles and marketing of services were somewhat limited.

Ambiguity-free polarization measurements from mixture initial preparations

Starting from beam and target spin systems which are polarized in the usual way by applying external magnetic fields, measurements of appropriate final state tensor parameters, viz., {t0,1k, k=1,...,2j} of particle d with spin j in a reaction a+b→d+c1+c2+. . .are suggested to determine the reaction amplitudes in spin space free from any associated discrete ambiguity.

Analysis of short interproton distances in proline peptides as a guide in the interpretation of nuclear overhauser effects

The conformational dependence of interproton distances in model proline peptides has been investigated in order to facilitate interpretation of the results of Nuclear Overhauser Effect (NOE) studies on such peptides. For this purpose two model systems, namely, Ac-Pro-NHMe and Ac-Pro-X-NHMe have been chosen and used. In the former, short interproton distances detectable in NOE experiments permit a clear distinction between conformations with Pro ψ = -300 (helical region) and those in which ψ is around 1200 (polyproline region). For the latter, the variation of distances between the protons of methyl amide and the Pro ring have been studied by superimposing on the Ramachandran map in the (φ3, ψ3) plane. The results show that β-turns and non-β-turn conformations can be readily distinguished from NOE data and such long range NOEs should be detectable for specific non-β-turn conformations. NOEs involving Cβ and Cγ protons are particularly sensitive to the state of pyrrolidine ring puckering.

Biphenyl ethers conjugated CdSe/ZnS core/shell quantum dots and interpretation of the mechanism of amyloid fibril disruption

The biphenyl ethers (BPEs) are the potent inhibitors of TTR fibril formation and are efficient fibril disrupter. However, the mechanism by which the fibril disruption occurs is yet to be fully elucidated. To gain insight into the mechanism, we synthesized and used a new QD labeled BPE to track the process of fibril disruption. Our studies showed that the new BPE-QDs bind to the fiber uniformly and has affinity and specificity for TTR fiber and disrupted the pre-formed fiber at a relatively slow rate. Based on these studies we put forth the probable mechanism of fiber disruption by BPEs. Also, we show here that the BPE-QDs interact with high affinity to the amyloids of A beta(42), lysozyme and insulin. The potential of BPE-QDs in the detection of senile plaque in the brain of transgenic Alzheimer's mice has also been explored. (C) 2010 Elsevier Ltd. All rights reserved.

Despairing Justice and the Ethics of Legal Interpretation

This study discusses legal interpretation. The question is how legal texts, for instance laws, statutes and regulations, can and do have meaning. Language makes interpretation difficult as it holds no definite meanings. When the theoretical connection between semantics and legal meaning is loosened and we realise that language cannot be a means of justifying legal decisions, the responsibility inherent in legal interpretation can be seen in full. We are thus compelled to search for ways to analyse this responsibility. The main argument of the book is that the responsibility of legal interpretation contains a responsibility towards the text that is interpreted (and through the mediation of the text also towards the legal system), but not only this. It is not simply a responsibility to read and read well, but it transcends on a broader scale. It includes responsibility for the effects of the interpretation in a particular situation and with regard to the people whose case is decided. Ultimately, it is a responsibility to do justice. These two aspects of responsibility are conceptualised here as the two dimensions of the ethics of legal interpretation: the textual and the situational. The basic conception of language presented here is provided by Ludwig Wittgenstein s later philosophy, but the argument is not committed to only one philosophical tradition. Wittgenstein can be counterpointed in interesting ways by Jacques Derrida s ideas on language and meaning. Derrida s work also functions as a contrast to hermeneutic theories. It is argued that the seed to an answer to the question of meaning lies in the inter-personal and situated activity of interpretation and communication, an idea that can be discerned in different ways in the works of Wittgenstein, Derrida and Hans-Georg Gadamer. This way the question of meaning naturally leads us to think about ethics, which is approached here through the philosophy of Emmanuel Levinas. His thinking, focusing on topics such as otherness, friendship and hospitality, provides possibilities for answering some of the questions posed in this book. However, at the same time we move inside a normativity where ethics and politics come together in many ways. The responsibility of legal interpretation is connected to the political and this has to be acknowledged lest we forget that law always implies force. But it is argued here that the political can be explored in positive terms as it does not have to mean only power or violence.

Nonlinear mixture autoregressive model: economic applications

The aim of this dissertation is to model economic variables by a mixture autoregressive (MAR) model. The MAR model is a generalization of linear autoregressive (AR) model. The MAR -model consists of K linear autoregressive components. At any given point of time one of these autoregressive components is randomly selected to generate a new observation for the time series. The mixture probability can be constant over time or a direct function of a some observable variable. Many economic time series contain properties which cannot be described by linear and stationary time series models. A nonlinear autoregressive model such as MAR model can a plausible alternative in the case of these time series. In this dissertation the MAR model is used to model stock market bubbles and a relationship between inflation and the interest rate. In the case of the inflation rate we arrived at the MAR model where inflation process is less mean reverting in the case of high inflation than in the case of normal inflation. The interest rate move one-for-one with expected inflation. We use the data from the Livingston survey as a proxy for inflation expectations. We have found that survey inflation expectations are not perfectly rational. According to our results information stickiness play an important role in the expectation formation. We also found that survey participants have a tendency to underestimate inflation. A MAR model has also used to model stock market bubbles and crashes. This model has two regimes: the bubble regime and the error correction regime. In the error correction regime price depends on a fundamental factor, the price-dividend ratio, and in the bubble regime, price is independent of fundamentals. In this model a stock market crash is usually caused by a regime switch from a bubble regime to an error-correction regime. According to our empirical results bubbles are related to a low inflation. Our model also imply that bubbles have influences investment return distribution in both short and long run.

Enhanced Pair Hydrophobicity in the Water-Dimethylsulfoxide (DMSO) Binary Mixture at Low DMSO Concentrations

We observe a surprisingly sharp increase in the pair hydrophobicity in the water climethylsulfoxide (DMSO) binary mixture at small DMSO concentrations, with the mole fraction of DMSO (x(D)) in the range 0.12-0.16. The increase in pair hydrophobicity is measured by an increase in the depth of the first minimum in the potential of mean force (PMF) between two methane molecules. However, this enhanced hydrophobicity again weakens at higher DMSO concentrations. We find markedly unusual behavior of the pure binary mixture (in the same composition range) in the diffusion coefficient of DMSO and in the local composition fluctuation of water, We find that, in the said composition range, the average coordination number of the methyl groups (of distinct DMSO) varies between 2.4 and 2.6, indicating the onset of the formation of a chain-like extended connectivity in an otherwise stable tetrahedral network comprising of water and DMSO molecules. We propose that the enhanced pair hydrophobicity of the binary mixture at low DMSO concentrations is due to the participation of the two methane molecules in the local structural order and the emerging molecular associations in the water-DMSO mixture.

After interpretation.

Using 58 audio recorded sessions of psychoanalysis (coming from two analysts and three patients) as data and conversation analysis as method, this paper shows how psychoanalysts deal with patients’ responses to interpretations. After the analyst offers an interpretation, the patient responds: at that point (in the “third position”), the analysts recurrently modify the tenor of the description from what it was in the patients’ responses. They intensify the emotional valence of the description, or they reveal layers of the patients’ experience other than those that the patient reported. Both are usually accomplished in an implicit, non-marked way, and they discreetly index possible opportunities for the patients to modify their understandings of the initial interpretation. Although the patients usually do not fully endorse these modifications, the data available suggests that during the sessions that follow, the participants do work with the aspects of patients’ experience that the analyst highlighted. In discussion, it is suggested that actions that the psychoanalysts produce in therapy, such as choices of turn design in third position, may be informed by working understanding of the minds and mental conflicts of individual patients, alongside the more general therapeutic model of mind they hold to.

Demixing of severely overlapped H-1 NMR resonances and interpretation of anomalous intensity pattern of dipolar coupled A(3) spins in a weakly aligning medium

We report a single C-13 spin edited selective proton-proton correlation experiment to decipher overcrowded 13C coupled proton NMR spectra of weakly dipolar coupled spin systems. The experiment unravels the masked C-13 satellites in proton spectrum and permits the measurement of one bond carbon-proton residual dipolar couplings in I3S and for each diastereotopic proton in I2S groups. It also provides all the possible homonuclear proton-proton residual couplings which are otherwise difficult to extract from the broad and featureless one dimensional H-1 spectrum, in addition to enantiodifferentiation in a chiral molecule. Employment of heteronuclear (C-13) decoupling in the evolution period results in complete demixing of overlapped signals from enantiomers. The observed anomalous intensity pattern in strongly dipolar coupled methyl protons in methyl selective correlation experiment has been interpreted using polarization operator formalism. (C) 2010 Elsevier Inc. All rights reserved.