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 7592 for “"Signals"”.
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Shorting opaque signals
… quantitative investors in impounding signals that are difficult to understand into prices and suggests that the opacity of a firm's fundamentals is a key determinant of sophisticated investors' trading strategies.
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Attenuation of volcanic seismic signals
… decay or attenuation of these earthquake signals can be decomposed into radiative and intrinsic components, and in this way yield information about both the geometry and fluid properties of the resonating source body. This thesis presents a study of the attenuation of low-frequency …
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Information Retrieval from Neurophysiological Signals
… system by employing neurophysiological signals. Regarding this, we employed a brain decoding paradigm in order to classify the features extracted from brain signals of participants watching movie/music video clips, into our target classes (two broad music genres and four broad movie …
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Events prediction in electroencephalographic signals
… operates by transforming electrophysiological signals, known as Electroencephalogram (EEG) signals, from the user into device commands under an operating protocol. The protocol initialises and defines the nature of the communication (i.e., discrete or continuous). It also determines the …
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Phylogenetic Signals in Protein Data
… in accuracy with the discovery of coevolutionary signals in a multiple sequence alignment (MSA). Unlike methods which fold proteins using molecular dynamic (MD) simulations, these coevolutionary methods make use of correlation information to fold large protein structures orders of magnitudes …
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Pitch Estimation of Musical Signals
… Fourier analysis results is applied to musical signals for the first time. The temporal analysis algorithm improves on the author’s previous research by adding a new confidence metric, which improves octave resolution. It also uses a weighted voting technique similar to the one used by the …
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Dynamic Analysis of Speech Signals
Made available in DSpace on 2014-12-08T22:24:08Z (GMT). No. of bitstreams: 1 6706755.pdf: 4815746 bytes, checksum: 1f259ab0cfa3b2bf0ae0d578c383cb7f (MD5) Previous issue date: 1966
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Parametric estimation of superimposed signals
The problem of parametric estimation of signals composed of a weighted sum of functions drawn from a known parametric family with unknown parameters in white Gaussian noise was studied. New closed-form expressions of the Cramer-Rao bound (CRB) for parametric estimation of superimposed signals in …
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Source localization from voice signals
Indoor localization remains an open field of research, due to its utility and unresolved challenges. This thesis focuses on sound source localization using a small microphone array. Practically speaking, the aim is to allow smart voice assistants, such as Amazon Echo or Google Home, which possess a …
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Economical sampling of parametric signals
… algorithms for digital acquisition of parametric signals. It furthermore provides bounds for the performance of these systems in the presence of noise. Our simple acquisition circuitry and low sampling rate enable accurate parameter estimation to be achieved economically. In present practice, …
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Discrete representations of random signals
Thesis: Sc. D., Massachusetts Institute of Technology, Department of Electrical Engineering, 1960
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Pitch determination of speech signals
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1986.
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Correlation detection using stored signals
Thesis (Sc.D.) Massachusetts Institute of Technology. Dept. of Electrical Engineering, 1953.
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Neural networks and neurophysiological signals
… action potentials (CMAPs). The two classes of signals are "viable" and "non-viable." This classification system will be used as part of a quality assurance mechanism on the NC-stat nerve conduction monitoring system. The results show that standard backpropagation neural networks provide …
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Radiolocation using AM broadcast signals
… theerrors caused by this effect. AM broadcast signals travel primarily as groundwaves, which propagate with phase velocities that depend on the electrical properties of the ground. Using simulations and empirical data, I designed and implemented a model for groundwave propagation that greatly …
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Parameter recovery for transient signals
Transient signals naturally arise in numerous disciplines for which the decay rates and amplitudes carry some informational significance. Even when the decay rates are known, solving for the amplitudes results in an ill-conditioned formulation. Transient signals in the presence of noise are further …
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