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 20 for “"random input"”.
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Random Input Signal Analysis of Nonlinear Systems With Transport Delay
Made available in DSpace on 2014-12-08T22:24:46Z (GMT). No. of bitstreams: 1 7013326.pdf: 1698913 bytes, checksum: f8df86df5d4d5eec22e2cdc5c0a97a69 (MD5) Previous issue date: 1969
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High-Speed, Low-Spurious CMOS Analog -to -Digital Converter
… modulator is applied to compensate the random input offset of folding amplifiers. A subranging front-end is used in conjunction with the pipelined folding ADC to make the calibration feasible. The second prototype chip was measured to exhibit 40 Msamples/s conversion rate with 13-bit …
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Dynamic line integral convolution for visualizing electromagnetic phenomena
… of detail that can be visualized by convolving a random input texture along the streamlines in the vector field. This thesis extends the technique to time-varying vector fields, where the motion of the field lines is specified explicitly via another vector field. The sequence of images generated …
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Signal reconstruction in distributed sampling systems with application to time-interleaved A/D converters
… are considered for both deterministic and random input signal models. For deterministic signals, a least-squares estimation of the input is examined; for random signals, Maximum Likelihood (ML) parameter estimates are obtained via the Expectation-Maximize (EM) algorithm. Tradeoffs in …
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Towards characterizing the solution space of the 1-Dollo Phylogeny problem
… the naive brute force enumeration algorithm for random input. The implementation is here: https://github.com/sxie12/skeleton_solver.
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Input-Pattern-Independent Estimation of Peak Current, Peak Power Dissipation, and Maximum Voltage Variation in the Power Distribution Network of VLSI Circuits
… simulation or simulation with a large number of random input vectors are also presented. In addition, design techniques for power-supply noise minimization, enhancing the circuit tolerance to power-supply voltage variations, and ultra-low power circuit design with significantly reduced …
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Vibration localization and statistical energy analysis in coupled systems
… of the system for harmonic excitation and random input is developed. Two single Euler-Bemouilli beams coupled by a torsional spring constitute the multi degree of freedom extension of the study. Special care is given to show the variation of the natural frequencies \with the two parameters …
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An introduction to linear time-variant digital filtering of seismic data
… filters is carried out for a nonstationary random input. The ensemble mean-square error criterion is used, assuming that the autocorrelation of the input and the crosscorrelation of the input with the desired output are known. It is concluded that linear time-variant digital filters will …
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Novel Fast Algorithms For Low Rank Matrix Approximation
… in matrix approximation have seen an emphasis on randomization techniques in which the goal was to create a sketch of an input matrix. This sketch, a random submatrix of an input matrix, having much fewer rows or columns, still preserves its relevant features. In one of such techniques random …
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Metamodel-based inverse uncertainty quantification of nuclear reactor simulators under the Bayesian framework
… the statistical information for computer model random inputs, for example, the mean, variance, Probability Density Functions (PDFs), upper and lower bounds, etc. Historically, ``expert judgment'' or ``user self-evaluation'' have been used to specify the uncertainty information associated with …
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Performance evaluation and optimization of stochastic systems via importance sampling
… parameters and the associated performance of random input systems are typically intractable. One often only has access to the system's output under a variety of inputs, thereby requiring the optimization routine to be insensitive to the noise inherent in estimating the performance. The well …
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Comparison of Linear, Nonlinear, Hysteretic, and Probabilistic MR Damper Models
… effective damping force depending on the current input to the damper. A number of factors in the construction of the damper, as well as the properties of the fluid and the electromagnet, create a dynamic response of the damper that cannot be fully described with a static model dependent on current …
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Software Reliability Issues: An Experimental Approach
… for the single point samples normally used as inputs to these models and thus supports scrutiny of their performances with less random input data.</p> <p>Initially, we describe the construction of an extensive database of empirical reliability data which we derived by testing each partially …
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Interconnect capacitance extraction under geometric uncertainties
Interconnects are an important constituent of any large scale integrated circuit, and accurate interconnect analysis is essential not only for post-layout verification but also for synthesis. For instance, extraction of interconnect capacitance is needed for the prediction of interconnect-induced …
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Essays in water resource economics
… need to take into account the possibility of random input supply interruption when deciding the timing and amount of irrigation. I develop and solve a stochastic dynamic optimization problem of irrigation schedule under random input supply interruption, in order to understand how farmers adapt …
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Machine Learning in Security Vulnerability Research
… tool evaluates software for security flaws using random input data, is a promising area for further exploration. To improve the effectiveness of fuzzers, I propose an ML-based seed selection method built on the concept that known bugs provide valuable insights to guide fuzzers toward the …
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3D from 2D touch
… we address this issue by sensing 3D input using flat 2D sensors. The systems we present observe the input from 3D objects as 2D imprints upon physical contact. By sampling these imprints at very high resolutions, we obtain the objects' textures. In some cases, a texture uniquely …
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Dynamic response of thin-walled composite structures with application to aircraft wings
… over its length. Both deterministic and random loads are considered. An important example of a deterministic load is one that varies harmonically in time. The Duhamel integral is employed to calculate the response to any arbitrary time dependent deterministic load. The random load is …
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Stochastic multiphysics modeling of RF MEMS switches
… of geometric uncertainties. The different random realizations of geometry are considered as deformed geometries. The electrostatic problem on each of these random samples is then obtained using the `mapping' and the finite element simulation on the mean geometry. Statistics such as the mean …