Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 459 for “"Autocorrelation"”.
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Noise Robust Pitch Tracking by Subband Autocorrelation Classification
… Traditional pitch trackers use either autocorrelation or the Fourier transform to calculate periodicity, which works well for clean recordings. For noisy recordings, however, the accuracy of these pitch trackers degrades in general. For example, the information in parts of the frequency …
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Autocorrelation Analysis of the Seismic Data Recorded on Mars
… Mars data. In this thesis, we applied the autocorrelation method to retrieve two types of seismic phases, body-wave reflection signals and Mars orbiting surface wave signals. The body-wave reflection signal originated from subsurface interfaces of Mars can inform the depth range of these …
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Constant Amplitude Zero Autocorrelation Sequences and Single Pixel Camera Imaging
The primary focus is on Constant Amplitude Zero Autocorrelation sequences, or CAZAC sequences for short. We provide both an exposition and some new results relating to CAZAC sequences. We then apply them to Gabor frames and prove a condition for checking when Gabor systems generated by a CAZAC …
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Land use allocation in Zhangjiakou City under a spatial autocorrelation perspective
… neighboring areas—without considering spatial autocorrelation, the mechanism for land use changes can hardly be properly revealed. Zhangjiakou, Hebei, China is one typical example to include the spatial autocorrelation when we discuss the land use change models, since counties in Zhangjiakou …
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Some properties of the finite time sample autocorrelation of the electroencephalogram
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering, 1959.
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The spatial autocorrelation of individual tree characteristics in loblolly pine stands
Mathematical methods of assessing the spatial autocorrelation associated with individual tree characteristics in forest stands were identified. These measures were used to investigate the spatial autocorrelation of discrete tree characteristics including the species, product, and defect …
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Modeling Autocorrelation and Sample Weights in Panel Data: A Monte Carlo Simulation Study
… extent are the sample estimates influenced when autocorrelation (which is usually present in a panel data having correlated observations and errors) and sample weights (complex sample design feature used in longitudinal data having multi-stage sampling design) are modeled versus when they are not …
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Climate change, variable colony sizes and temporal autocorrelation : consequences of living in changing environments
… part, I analysed the effect of positive temporal autocorrelation in environmental noise on the extinction risk of a population, using a simple population model. The effect of autocorrelation depended on the magnitude of the effect of single catastrophic events of bad environmental conditions on a …
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Fault detection in multivariate processes : handling autocorrelation, contamination, and small sample sizes in engineered systems.
Multivariate statistical process monitoring is commonly used to detect faults, or unexpected deviations from normal operating behavior, in complex processes. Faults are typically identified by comparing process behavior in real-time to previously observed in-control process behavior. Many existing …
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Analytical determination of autocorrelation and noise power density spectrum of randomly modulated pulse width square waves
… ·criterion is well furnished by knowing the autocorrelation function of the input to the linear system. This input signal is generally an additive mixture of a piecewise continuous message and a noise. The problem considered in this paper is the determination of the autocorrelation function …
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Modelling sea surface temperature using generalized additive models for location scale and shape by boosting with autocorrelation
… also deal with sparsity, irregular peaks, and autocorrelation in the data. We propose in this thesis extended gamboostLSS models by considering time autocorrelation. In our experiments, we initially used 1231 daily observations in the period between November 2006 and September 2012. The data is …
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What drives hedge fund returns? : models of flows, autocorrelation, optimal size, limits to arbitrage and fund failures
Hedge funds provide an opportunity for investing with few government regulations and high potential returns. Since 1980 this has lead to the dramatic, 25% annual increase in the number of hedge funds, and with nearly $700 billion managed by hedge funds in 2003. However, high risks associated with …
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Using Plant Epidemiological Methods to Track Computer Network Worms
… in plant epidemiology. In particular, spatial autocorrelation has been identified as a candidate variable that helps predict the spread of a worm over a LAN. This research describes the application of spatial autocorrelation to the geography and topology of the LAN and describes the methods …
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Robust communication in a time-varying noisy environment
… The OSNR of a MAMF is a function of the noise autocorrelation sequence and the transmitted signal vector. The maximum OSNR of a MAMF is produced when the signal vector is the eigenvector associated with the smallest eigenvalue of the Toeplitz matrix formed from the noise autocorrelation …
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An investigation of photon correlation spectroscopy data analysis packages "discrete" and "contin" using the Schulz-Zimm distribution
… Correlation Spectroscopy for inversion of noisy autocorrelation functions. Their resolution was studied using simulated autocorrelation data based on the Schulz-Zimm distribution of polymer radii; Autocorrelation functions with various noise levels were fitted to both programs. The CONTIN output …
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Spatio-temporal Variability in Surface Ocean pCO2 Inferred from Observations
… multiple spatial and temporal scales. Temporal autocorrelation analysis is used to examine pCO2 variability over multiple years. Spatial autocorrelation analysis describes pCO2 variability over multiple spatial scales. Spatial autocorrelation lengths range between <50 km in coastal regions and …
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Boolean complementary pairs
… (GPs) are pairs of (1,-1)-sequences with zero autocorrelation. GPs have numerous applications in engineering and mathematics such as in device synchronization, spectroscopy, and in the construction of Hadamard matrices. As a result, there is significant interest in understanding their …
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Some aspects of modeling conditional heteroskedasticity: Theory and applications
… interpreted as a test for the constancy of the autocorrelation coefficients. This also enables us to specify conditional heteroskedasticity in a more general and convenient way. As a result of our analysis, we propose the augmented autoregressive conditional heteroskedasticity (AARCH) model as …
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Crash severity modeling in transportation systems
… likely valid. For instance, spatial and temporal autocorrelations are important sources of dependency among observations that may bias estimates if not considered in the modeling process. Moreover, there are other aspects of vehicular travel that may influence crash severity that have not been …
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