889 resultados para Time-frequency analysis
Resumo:
The thesis mainly focuses on material characterization in different environments: freely available samples taken in planar fonn, biological samples available in small quantities and buried objects.Free space method, finds many applications in the fields of industry, medicine and communication. As it is a non-contact method, it can be employed for monitoring the electrical properties of materials moving through a conveyor belt in real time. Also, measurement on such systems at high temperature is possible. NID theory can be applied to the characterization of thin films. Dielectric properties of thin films deposited on any dielectric substrate can be determined. ln chemical industry, the stages of a chemical reaction can be monitored online. Online monitoring will be more efficient as it saves time and avoids risk of sample collection.Dielectric contrast is one of the main factors, which decides the detectability of a system. lt could be noted that the two dielectric objects of same dielectric constant 3.2 (s, of plastic mine) placed in a medium of dielectric constant 2.56 (er of sand) could even be detected employing the time domain analysis of the reflected signal. This type of detection finds strategic importance as it provides solution to the problem of clearance of non-metallic mines. The demining of these mines using the conventional techniques had been proved futile. The studies on the detection of voids and leakage in pipes find many applications.The determined electrical properties of tissues can be used for numerical modeling of cells, microwave imaging, SAR test etc. All these techniques need the accurate determination of dielectric constant. ln the modem world, the use of cellular and other wireless communication systems is booming up. At the same time people are concemed about the hazardous effects of microwaves on living cells. The effect is usually studied on human phantom models. The construction of the models requires the knowledge of the dielectric parameters of the various body tissues. lt is in this context that the present study gains significance. The case study on biological samples shows that the properties of normal and infected body tissues are different. Even though the change in the dielectric properties of infected samples from that of normal one may not be a clear evidence of an ailment, it is an indication of some disorder.ln medical field, the free space method may be adapted for imaging the biological samples. This method can also be used in wireless technology. Evaluation of electrical properties and attenuation of obstacles in the path of RF waves can be done using free waves. An intelligent system for controlling the power output or frequency depending on the feed back values of the attenuation may be developed.The simulation employed in GPR can be extended for the exploration of the effects due to the factors such as the different proportion of water content in the soil, the level and roughness of the soil etc on the reflected signal. This may find applications in geological explorations. ln the detection of mines, a state-of-the art technique for scanning and imaging an active mine field can be developed using GPR. The probing antenna can be attached to a robotic arm capable of three degrees of rotation and the whole detecting system can be housed in a military vehicle. In industry, a system based on the GPR principle can be developed for monitoring liquid or gas through a pipe, as pipe with and without the sample gives different reflection responses. lt may also be implemented for the online monitoring of different stages of extraction and purification of crude petroleum in a plant.Since biological samples show fluctuation in the dielectric nature with time and other physiological conditions, more investigation in this direction should be done. The infected cells at various stages of advancement and the normal cells should be analysed. The results from these comparative studies can be utilized for the detection of the onset of such diseases. Studying the properties of infected tissues at different stages, the threshold of detectability of infected cells can be determined.
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Natural systems are inherently non linear. Recurrent behaviours are typical of natural systems. Recurrence is a fundamental property of non linear dynamical systems which can be exploited to characterize the system behaviour effectively. Cross recurrence based analysis of sensor signals from non linear dynamical system is presented in this thesis. The mutual dependency among relatively independent components of a system is referred as coupling. The analysis is done for a mechanically coupled system specifically designed for conducting experiment. Further, cross recurrence method is extended to the actual machining process in a lathe to characterize the chatter during turning. The result is verified by permutation entropy method. Conventional linear methods or models are incapable of capturing the critical and strange behaviours associated with the dynamical process. Hence any effective feature extraction methodologies should invariably gather information thorough nonlinear time series analysis. The sensor signals from the dynamical system normally contain noise and non stationarity. In an effort to get over these two issues to the maximum possible extent, this work adopts the cross recurrence quantification analysis (CRQA) methodology since it is found to be robust against noise and stationarity in the signals. The study reveals that the CRQA is capable of characterizing even weak coupling among system signals. It also divulges the dependence of certain CRQA variables like percent determinism, percent recurrence and entropy to chatter unambiguously. The surrogate data test shows that the results obtained by CRQA are the true properties of the temporal evolution of the dynamics and contain a degree of deterministic structure. The results are verified using permutation entropy (PE) to detect the onset of chatter from the time series. The present study ascertains that this CRP based methodology is capable of recognizing the transition from regular cutting to the chatter cutting irrespective of the machining parameters or work piece material. The results establish this methodology to be feasible for detection of chatter in metal cutting operation in a lathe.
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This thesis summarizes the results on the studies on a syntax based approach for translation between Malayalam, one of Dravidian languages and English and also on the development of the major modules in building a prototype machine translation system from Malayalam to English. The development of the system is a pioneering effort in Malayalam language unattempted by previous researchers. The computational models chosen for the system is first of its kind for Malayalam language. An in depth study has been carried out in the design of the computational models and data structures needed for different modules: morphological analyzer , a parser, a syntactic structure transfer module and target language sentence generator required for the prototype system. The generation of list of part of speech tags, chunk tags and the hierarchical dependencies among the chunks required for the translation process also has been done. In the development process, the major goals are: (a) accuracy of translation (b) speed and (c) space. Accuracy-wise, smart tools for handling transfer grammar and translation standards including equivalent words, expressions, phrases and styles in the target language are to be developed. The grammar should be optimized with a view to obtaining a single correct parse and hence a single translated output. Speed-wise, innovative use of corpus analysis, efficient parsing algorithm, design of efficient Data Structure and run-time frequency-based rearrangement of the grammar which substantially reduces the parsing and generation time are required. The space requirement also has to be minimised
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With the recent progress and rapid increase in the field of communication, the designs of antennas for small mobile terminals with enhanced radiation characteristics are acquiring great importance. Compactness, efficiency, high data rate capacity etc. are the major criteria for the new generation antennas. The challenging task of the microwave scientists and engineers is to design a compact printed radiating structure having broadband behavior along with good efficiency and enhanced gain. Printed antenna technology has received popularity among antenna scientists after the introduction of planar transmission lines in mid-seventies. When we view the antenna through a transmission line concept, the mechanism behind any electromagnetic radiator is quite simple and interesting. Any electromagnetic system with a discontinuity is radiating electromagnetic energy. The size, shape and orientation of the discontinuities control the radiation characteristics of the system such as radiation pattern, gain, polarization etc. It can be either resonant or non-resonant. This thesis deals with antennas that are developed from a class of transmission lines known as coplanar strip-CPS, a planar analogy of parallel pair transmission line. The specialty of CPS is its symmetric structure compared to other transmission lines, which makes the antenna structures developed from CPS quite simple for design and fabrication. The structural modifications on either metallic strip of CPS results in different antennas. The first part of the thesis discusses a single band and dual band design derived from open ended slot lines which are very much suitable for 2.4 and 5.2 GHz WLAN applications. The second section of the study is vectored into the development of enhanced gain dipoles. A single band dipole and a wide band enhanced gain dipole suitable for 5.2/5.8 GHZ band and imaging applications are developed and discussed. Last part of the thesis discusses the development of directional UWBs. Three different types of ultra-compact UWBs are developed and almost all the frequency domain and time domain analysis of the structures are discussed.
Resumo:
Numerous studies have proven an effect of a probable climate change on the hydrosphere’s different subsystems. In the 21st century global and regional redistribution of water has to be expected and it is very likely that extreme weather phenomenon will occur more frequently. From a global view the flood situation will exacerbate. In contrast to these discoveries the classical approach of flood frequency analysis provides terms like “mean flood recurrence interval”. But for this analysis to be valid there is a need for the precondition of stationary distribution parameters which implies that the flood frequencies are constant in time. Newer approaches take into account extreme value distributions with time-dependent parameters. But the latter implies a discard of the mentioned old terminology that has been used up-to-date in engineering hydrology. On the regional scale climate change affects the hydrosphere in various ways. So, the question appears to be whether in central Europe the classical approach of flood frequency analysis is not usable anymore and whether the traditional terminology should be renewed. In the present case study hydro-meteorological time series of the Fulda catchment area (6930 km²), upstream of the gauging station Bonaforth, are analyzed for the time period 1960 to 2100. At first a distributed catchment area model (SWAT2005) is build up, calibrated and finally validated. The Edertal reservoir is regulated as well by a feedback control of the catchments output in case of low water. Due to this intricacy a special modeling strategy has been necessary: The study area is divided into three SWAT basin models and an additional physically-based reservoir model is developed. To further improve the streamflow predictions of the SWAT model, a correction by an artificial neural network (ANN) has been tested successfully which opens a new way to improve hydrological models. With this extension the calibration and validation of the SWAT model for the Fulda catchment area is improved significantly. After calibration of the model for the past 20th century observed streamflow, the SWAT model is driven by high resolution climate data of the regional model REMO using the IPCC scenarios A1B, A2, and B1, to generate future runoff time series for the 21th century for the various sub-basins in the study area. In a second step flood time series HQ(a) are derived from the 21st century runoff time series (scenarios A1B, A2, and B1). Then these flood projections are extensively tested with regard to stationarity, homogeneity and statistical independence. All these tests indicate that the SWAT-predicted 21st-century trends in the flood regime are not significant. Within the projected time the members of the flood time series are proven to be stationary and independent events. Hence, the classical stationary approach of flood frequency analysis can still be used within the Fulda catchment area, notwithstanding the fact that some regional climate change has been predicted using the IPCC scenarios. It should be noted, however, that the present results are not transferable to other catchment areas. Finally a new method is presented that enables the calculation of extreme flood statistics, even if the flood time series is non-stationary and also if the latter exhibits short- and longterm persistence. This method, which is called Flood Series Maximum Analysis here, enables the calculation of maximum design floods for a given risk- or safety level and time period.
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R from http://www.r-project.org/ is ‘GNU S’ – a language and environment for statistical computing and graphics. The environment in which many classical and modern statistical techniques have been implemented, but many are supplied as packages. There are 8 standard packages and many more are available through the cran family of Internet sites http://cran.r-project.org . We started to develop a library of functions in R to support the analysis of mixtures and our goal is a MixeR package for compositional data analysis that provides support for operations on compositions: perturbation and power multiplication, subcomposition with or without residuals, centering of the data, computing Aitchison’s, Euclidean, Bhattacharyya distances, compositional Kullback-Leibler divergence etc. graphical presentation of compositions in ternary diagrams and tetrahedrons with additional features: barycenter, geometric mean of the data set, the percentiles lines, marking and coloring of subsets of the data set, theirs geometric means, notation of individual data in the set . . . dealing with zeros and missing values in compositional data sets with R procedures for simple and multiplicative replacement strategy, the time series analysis of compositional data. We’ll present the current status of MixeR development and illustrate its use on selected data sets
Resumo:
La patología de la válvula mitral tiene gran prevalencia dentro de la enfermedad cardiaca. Con nuevas técnicas diagnósticas se perfecciona la caracterización de la válvula mitral y la ecocardiografía tridimensional tras esofágica, ha permitido obtener mejor información acerca de la patología valvular mitral. Objetivo principal : describir estructural y anatómicamente la válvula mitral, sus medidas y relaciones espaciales tridimensionales, en pacientes catalogados con válvula normal comparándolos con pacientes con insuficiencia mitral; en estudios realizados mediante ecocardiografía tras esofágica tridimensional. Materiales y métodos : estudio descriptivo, prospectivo con una serie de casos de válvulas mitrales normales comparadas con insuficientes : Obtención - Imagen tras esofágica 3D en tiempo real - Análisis y procesamiento de la imagen - Reconstrucción Tridimensional. Obtención de las diferentes medidas anatómicas estructurales que servirán para la tipificación de la válvula mitral en 3D. Análisis descriptivo : se utilizarán distribuciones de frecuencia y distribuciones porcentuales y en las variables de tipo cuantitativo medidas de tendencia central y medidas de variabilidad y dispersión. Resultados : se evaluaron durante el periodo de tiempo comprendido entre junio de 2008 y agosto de 2009 un total de 113 pacientes en total, encontrando claras diferencias en la estructura de las insuficiencias por prolapso. No hubo diferenciación en las cardiopatía isquémica vs dilatada. Conclusión : en el prolapso mitral aporta datos en la identificación etiológica ya sea degenerativa fibroelástica o enfermedad de Barlow. No hay diferencia significativa en la estructura que ayude caracterizar cardiopatía isquémica vs cardiopatía dilatada.
Resumo:
Molts bacteris del grup fluorescent del gènere Pseudomonas són capaços de controlar malalties de les plantes causades per fongs i bacteris fitopatògens (ACBs) o mostren activitat com a bacteris promotors del creixement de les plantes (BPCPs). S'han descrit diversos metabòlits que intervenen de manera important en la seva activitat com a ACBs i BPCPs entre els quals en destaquen el 2,4-diacetilfloroglucinol (Phl), àcid fenazin-1-carboxílic (PCA), Pirrolnitrina (Prn), àcid cianhídric (HCN), àcid 3-indolacètic (IAA), sideròfors i quitinases. L'objectiu principal del nostre treball ha estat la comparació de les característiques d'un grup de Pseudomonas del grup fluorescent utilitzant una aproximació polifàsica amb la finalitat d'establir possibles relacions entre algunes de les característiques i la capacitat d'actuar com a ACB o BPCP. Atesa la importància en el biocontrol de la producció de metabòlits com Phl, PCA i Prn, l'objectiu preliminar ha estat la recerca i obtenció de soques productores d'aquests metabòlits. Per assolir aquest objectiu s'ha emprat una aproximació molecular basada en la detecció dels gens biosintètics implicats en la seva producció en lloc de la detecció directa dels metabòlits per evitar els efectes que poden tenir les condicions de cultiu en la inducció o repressió de la seva síntesi. S'han realitzat diferents protocols basats (i) en la cerca assistida de productors mitjançant l'ús de marcadors fenotípics i posterior confirmació per PCR i, (ii) en l'ús de la PCR per a la detecció dels gens directament dels extractes bacterians, d'enriquiments d'aquests extractes i la realització de la hibridació en colònies per al posterior aïllament. La cerca assistida de productors de Phl mitjançant marcadors fenotípics i posteriorment la utilització de tècniques moleculars (amplificació per PCR del gen phlD), ha estat el millor mètode en el tipus de mostres processades en el nostre treball, on la proporció de productors és relativament baixa. En total s'han aïllat a partir de diversos ambients 4 soques portadores dels gens de la síntesi de PCA, 15 de Phl i 1 de Prn. S'ha constituït una col·lecció de 72 soques de Pseudomonas del grup fluorescent que inclou 18 aïllats propis portadors dels gens biosintètics necessaris per la producció de Phl PCA i Prn; 6 soques de referència procedents de col·leccions de cultius tipus, 14 soques productores dels diferents antibiòtics cedides per altres investigadors i una selecció de 34 soques procedents d'un treball previ realitzat en el nostre grup de recerca. A la col·lecció s'hi troben soques candidates a ACB i BPCP de diverses malalties i plantes. Les 72 soques s'han caracteritzat fenotípica i genotípicament. La caracterització fenotípica s'ha portat a terme mitjançant la identificació a nivell d'espècie amb galeries API 20NE i proves bioquímiques específiques; la producció de metabòlits com PCA, Phl, Prn, IAA, HCN, quitinases i sideròfors mitjançant l'ús de diferents tècniques; antagonisme in vitro en diversos medis enfront dos fongs (Stemphylium vesicarium i Penicillium expansum) i tres bacteris fitopatògens (Erwinia amylovora, Pseudomonas syringae pv. syringae i Xanthomonas arboricola pv. juglandis); l'eficàcia de la inhibició de la infecció en bioassaigs in vivo sobre material vegetal enfront els fongs P. expansum en poma i S. vesicarium en fulles de perera i enfront el bacteri E. amylovora en fruits immadurs de perera i, finalment, en assaigs de promoció de creixement en dos portaempelts comercials de Prunus. Cal destacar que P. expansum causa la podridura blava en pomes i peres en postcollita, S. vesicarium la taca bruna de la perera i E. amylovora el foc bacterià de les rosàcies. El nombre de soques de Pseudomonas, sobre el total de les 72 estudiades, productores d'IAA (4) i quitinases (6) és baix, mentre que és elevat en el cas del HCN (32), que a més està associat a la producció de Phl. Els resultats obtinguts en l'antagonisme in vitro han mostrat en el cas dels bacteris que és dependent del patogen indicador i del medi de cultiu. La presència o absència de ferro no sembla ser un factor que potencií l'antagonisme. En el cas dels fongs no s'ha observat però, influència del medi de cultiu emprat. En el total de 72 soques s'ha observat un percentatge baix de soques que manifesten antagonisme en tots els medis assajats vers 3 o 4 dels patògens (7). Solament 2 d'aquestes 7 soques han mostrat ser també efectives en bioassaigs d'inhibició de les infeccions causades per 2 dels 3 patògens assajats. Algunes de les soques efectives en els bioassaigs no són antagonistes in vitro en cap dels medis assajats enfront el mateix patogen. En el cas de la promoció del creixement, s'han observat més soques promotores del creixement del portaempelts de prunera Marianna 2624 que no en l'híbrid de presseguer-ametller GF677 i les eficàcies assolides són també majors en el cas de Marianna 2624, detectant una elevada especificitat soca/portaempelts La caracterització genotípica s'ha realitzat mitjançant l'anàlisi dels polimorfismes en la longitud dels fragments de restricció de DNA ribosomal (RFLP-rDNA) i l'anàlisi dels polimorfismes en la longitud dels fragments de macrorestricció genòmica de DNA cromosòmic separats per electroforesi en camp polsant (MRFLP-PFGE). Ambdues anàlisis van mostrar una gran heterogeneïtat genètica entre les soques caracteritzades i no s'ha pogut relacionar les agrupacions obtingudes amb les característiques fenotípiques o capacitat d'actuar com a ACB o BPCP. Els patrons de macrorestricció genòmica (MRFLP-PFGE) del bacteri model P. fluorescens EPS288 són estables en el temps i independents de les condicions de cultiu assajades al laboratori o en mostres naturals, mostrant ser una tècnica eficaç en la identificació de reaïllats de mostres naturals inoculades prèviament amb el bacteri. Una selecció de soques que comparteixen el fet de produir floroglucinol s'han caracteritzat mitjançant RFLP i seqüenciació del gen phlD. S'ha establert una relació entre les agrupacions obtingudes en les anàlisis RFLP-rDNA, RFLP-phlD i les seqüències del gen. En l'anàlisi filogenètica de les seqüències del gen phlD s'ha observat un elevat grau de polimorfisme obtenint-se 3 agrupacions principals. Les agrupacions semblen relacionar-se amb els patrons de producció de metabòlits (Phl, HCN i Prn en una primera agrupació; Phl i HCN en la segona i solament Phl en la tercera), però aquestes no s'han pogut relacionar amb l'origen geogràfic de les soques o la seva activitat com a ACBs i/o BPCP. Amb les dades obtingudes de la caracterització fenotípica i genotípica s'ha realitzat una anàlisi multivariant (correspondències, correlacions d'Spearman i de freqüències amb variables categòriques). S'ha demostrat la importància de disposar d'una tècnica que permeti depurar una col·lecció de soques descartant les soques genèticament idèntiques, ja que influeixen en els resultats de les anàlisis. Pels tres patògens assajats com a indicadors i els dos portaempelts emprats, no s'ha observat cap correlació entre la inhibició de la infecció o la promoció del creixement amb les característiques fenotípiques i genotípiques de les soques que fos significatiu i consistent en les tres tècniques emprades.
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Deep Brain Stimulator devices are becoming widely used for therapeutic benefits in movement disorders such as Parkinson's disease. Prolonging the battery life span of such devices could dramatically reduce the risks and accumulative costs associated with surgical replacement. This paper demonstrates how an artificial neural network can be trained using pre-processing frequency analysis of deep brain electrode recordings to detect the onset of tremor in Parkinsonian patients. Implementing this solution into an 'intelligent' neurostimulator device will remove the need for continuous stimulation currently used, and open up the possibility of demand-driven stimulation. Such a methodology could potentially decrease the power consumption of a deep brain pulse generator.
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Phytophthora ramorum is a damaging invasive plant pathogen and was first discovered in the UK in 2002. Spatial point analyses were applied to the occurrence of this disease in England and Wales during the period of 2003-2006 in order to assess its spatio-temporal spread. Out of the 4301 garden centres and nurseries (GCN) surveyed, there were 164, 105, 123 and 41 sites with P. ramorum in 2003, 2004, 2005 and 2006, respectively. Spatial analysis of the observed point patterns of GCN outbreaks suggested that these sites were significantly clumped within a radius of ca 60 km in 2003, but not in later years. Further analyses were conducted to determine the relationship of GCN outbreak sites over two consecutive years and thus to infer possible disease spread over time. This analysis suggested that disease spread among GCN sites was most likely to have occurred within a distance of 60 km for 2003-2004, but not for the later years. There were 35, 63, 81 and 58 sites with P. ramorum in the semi-natural environment (SNE). Analyses were carried out to assess whether infected GCN sites could act as an inoculum source of infected SNE plants or vice versa. In all years, there was a significant spatial closeness among GCN and SNE outbreak sites within a distance of 1 km. But a significant relationship over a longer distance (within 60 km) was only observed between cases in 2003 and 2004. These analyses suggest that statutory actions taken so far appear to have reduced the extent of long-distance spread of P. ramorum among garden centres and nurseries, but not the disease spread at a shorter distance between GCN and SNE sites.
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Time/frequency and temporal analyses have been widely used in biomedical signal processing. These methods represent important characteristics of a signal in both time and frequency domain. In this way, essential features of the signal can be viewed and analysed in order to understand or model the physiological system. Historically, Fourier spectral analyses have provided a general method for examining the global energy/frequency distributions. However, an assumption inherent to these methods is the stationarity of the signal. As a result, Fourier methods are not generally an appropriate approach in the investigation of signals with transient components. This work presents the application of a new signal processing technique, empirical mode decomposition and the Hilbert spectrum, in the analysis of electromyographic signals. The results show that this method may provide not only an increase in the spectral resolution but also an insight into the underlying process of the muscle contraction.
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Transient neural assemblies mediated by synchrony in particular frequency ranges are thought to underlie cognition. We propose a new approach to their detection, using empirical mode decomposition (EMD), a data-driven approach removing the need for arbitrary bandpass filter cut-offs. Phase locking is sought between modes. We explore the features of EMD, including making a quantitative assessment of its ability to preserve phase content of signals, and proceed to develop a statistical framework with which to assess synchrony episodes. Furthermore, we propose a new approach to ensure signal decomposition using EMD. We adapt the Hilbert spectrum to a time-frequency representation of phase locking and are able to locate synchrony successfully in time and frequency between synthetic signals reminiscent of EEG. We compare our approach, which we call EMD phase locking analysis (EMDPL) with existing methods and show it to offer improved time-frequency localisation of synchrony.
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The goal of this research was to investigate the changes in neural processing in mild cognitive impairment. We measured phase synchrony, amplitudes, and event-related potentials in veridical and false memory to determine whether these differed in participants with mild cognitive impairment compared with typical, age-matched controls. Empirical mode decomposition phase locking analysis was used to assess synchrony, which is the first time this analysis technique has been applied in a complex cognitive task such as memory processing. The technique allowed assessment of changes in frontal and parietal cortex connectivity over time during a memory task, without a priori selection of frequency ranges, which has been shown previously to influence synchrony detection. Phase synchrony differed significantly in its timing and degree between participant groups in the theta and alpha frequency ranges. Timing differences suggested greater dependence on gist memory in the presence of mild cognitive impairment. The group with mild cognitive impairment had significantly more frontal theta phase locking than the controls in the absence of a significant behavioural difference in the task, providing new evidence for compensatory processing in the former group. Both groups showed greater frontal phase locking during false than true memory, suggesting increased searching when no actual memory trace was found. Significant inter-group differences in frontal alpha phase locking provided support for a role for lower and upper alpha oscillations in memory processing. Finally, fronto-parietal interaction was significantly reduced in the group with mild cognitive impairment, supporting the notion that mild cognitive impairment could represent an early stage in Alzheimer’s disease, which has been described as a ‘disconnection syndrome’.
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The detection of long-range dependence in time series analysis is an important task to which this paper contributes by showing that whilst the theoretical definition of a long-memory (or long-range dependent) process is based on the autocorrelation function, it is not possible for long memory to be identified using the sum of the sample autocorrelations, as usually defined. The reason for this is that the sample sum is a predetermined constant for any stationary time series; a result that is independent of the sample size. Diagnostic or estimation procedures, such as those in the frequency domain, that embed this sum are equally open to this criticism. We develop this result in the context of long memory, extending it to the implications for the spectral density function and the variance of partial sums of a stationary stochastic process. The results are further extended to higher order sample autocorrelations and the bispectral density. The corresponding result is that the sum of the third order sample (auto) bicorrelations at lags h,k≥1, is also a predetermined constant, different from that in the second order case, for any stationary time series of arbitrary length.
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We report findings from psycholinguistic experiments investigating the detailed timing of processing morphologically complex words by proficient adult second (L2) language learners of English in comparison to adult native (L1) speakers of English. The first study employed the masked priming technique to investigate -ed forms with a group of advanced Arabic-speaking learners of English. The results replicate previously found L1/L2 differences in morphological priming, even though in the present experiment an extra temporal delay was offered after the presentation of the prime words. The second study examined the timing of constraints against inflected forms inside derived words in English using the eye-movement monitoring technique and an additional acceptability judgment task with highly advanced Dutch L2 learners of English in comparison to adult L1 English controls. Whilst offline the L2 learners performed native-like, the eye-movement data showed that their online processing was not affected by the morphological constraint against regular plurals inside derived words in the same way as in native speakers. Taken together, these findings indicate that L2 learners are not just slower than native speakers in processing morphologically complex words, but that the L2 comprehension system employs real-time grammatical analysis (in this case, morphological information) less than the L1 system.