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 43 for “"filtering approach"”.
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A channel subspace post-filtering approach to adaptive equalization
… exploit this structure. A channel subspace post-filtering algorithm that treats the least squares channel estimate as a noisy time series and exploits the channel correlation structure to reduce the channel estimation error is presented. The improvement in performance of the algorithm with …
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A channel subspace post-filtering approach to adaptive equalization
Thesis (S.M.)--Joint Program in Oceanography/Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and the Woods Hole Oceanographic Institution), 2002.
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A Particle Filtering Approach to Joint Passive Radar Tracking and Target Classification
… that realizes the full potential of such an approach. Our joint formulation consists of three key developments: (1) an aerodynamically valid flight model that relies upon aircraft-specific coefficients such as the wing area and the minimum value of drag, (2) an electromagnetically correct …
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A novel Adaptive Filtering approach to Drive File Identification for Service Environment Replication
… in its service environment. A novel adaptive filtering approach, called the Pulse Train Filtered-x Least Mean Square algorithm for waveform generation and drive file identification is proposed in this thesis based on methods developed for Active Noise and Vibration Control. Simulation studies …
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Using K-means Clustering and Similarity Measure to Deal with Missing Rating in Collaborative Filtering Recommendation Systems
The Collaborative Filtering recommendation systems have been developed to address the information overload problem and personalize the content to the users for business and organizations. However, the Collaborative Filtering approach has its limitation of data sparsity and online scalability …
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Insurance recommendation engine using a combined collaborative filtering and neural network approach
… tested using a neural network and collaborative filtering approach. The recommendation engine aims to suggest suitable insurance products for new or existing customers, based on their features or selection history. The collaborative filtering approach used matrix factorization on an existing user …
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A preliminary formalization of scale in topology optimization
… not well-established, however, exactly how this filtering approach enforces scale numerically, nor is it evident that the enforced scale is consistent. This paper introduces Linear Scale-Space Theory from the field of computer vision as a rigorous explanation for how a generic convolution …
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Wideband active antenna cancellation
… and demonstrates the feasibility of an adaptive filtering approach on active signal cancellation. The final system design demonstrates that, with a broadband interference source in close proximity to a receiver, it is possible to provide 30 dB of isolation by using active cancellation.
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Complex shear modulus reconstruction using ultrasound shear-wave imaging
… shear wave excitation. An advantage of such an approach is extended bandwidth of the measurement and a well-defined shear wave propagation that can be advantageous in the complex shear modulus reconstruction. This method was used to explore viscoelastic mechanisms in liver tissue and to explore …
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Eliminating Redundant and Less-informative RSS News Articles Based on Word Similarity and A Fuzzy Equivalence Relation
… In this thesis, we propose a method for filtering redundant and less-informative RSS news articles that solves the problem of excessive number of news feeds observed in RSS news aggregators. Our filtering approach measures similarity among RSS news entries by using the Fuzzy-Set …
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Probabilistic search: a Bayesian approach in a continuous workspace
… To model this problem, the widely used Bayesian filtering approach is employed to obtain the general filtering equations for the posterior distribution representing the object's location over the workspace. Given a likelihood and prior belief belonging to the exponential family class, while using …
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Energy storage for frequency regulation on the electric grid
… storage for a component of frequency regulation. Filtering is used to separate the portion of a frequency regulation control signal suitable for provision by an energy storage unit from the portion suitable for provision by traditional thermal generating resources. Not all frequency regulation …
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MIMO radar: signal processing, waveform design, and applications to synthetic aperture imaging
… impediment to MIMO SAR/SAS. A novel mismatched filtering approach is presented to mitigate this issue. New results in sampling theory are derived that allow the aliasing that occurs when a wide-sense stationary random process is non-uniformly sampled to be quantified. These results are applied …
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Towards Optimal Large-Eddy Simulation of Wall-Bounded Flows
… channel flow performed by Das (2004). In this approach, a buffer region with zero velocity is attached adjacent to the wall, and the extended velocity field is filtered using a Fourier-cutoff filter in all directions. The instantaneous wall stresses are then obtained using a ""no leakage"" …
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Application of Kalman filtering in computer relaying of power systems
… are presented. As a prerequisite for the Kalman-filtering implementation, the random description of the fault-induced noise signals was quantitatively studied. Empirical formulas that describe the random nature of the noise based on the probability of fault location and the frequency of …
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Learning the dynamics of deformable objects and recursive boundary estimation using curve evolution techniques
… algorithm, we extend the traditional particle filtering approach by applying sample-based methods to a complex shape space.
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A recursive matched-filter to systematically explore a volcanic long-period earthquake swarm
… required. We propose a recursive matched-filter approach to systematically explore earthquake swarms, here applied to a swarm of volcanic long-period seismicity beneath Mount Sidley in Antarctica. We start with a single visually chosen template event with a high signal-to-noise ratio. We then …
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Sequential bayesian filtering for spatial arrival time estimation
… for the estimation of such parameters. This approach, based on full field calculations, is computationally intensive and sensitive to assumptions on the structure of the environment. As an alternative, methods that use only select features of the acoustic field for source localization and …
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A neural network approach for generating derivative information from quantized position measurements
… this scheme with that using conventional linear filtering techniques. Again, we see the superiority of the proposed TDNN scheme over the linear filtering approach
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Robust and decentralized task assignment algorithms for UAVs
… consensus algorithm uses the well-known Kalman filtering approach to develop the Kalman Consensus Algorithm (KCA), which incorporates the certainty of each agent about its information in the update procedure. It is shown in this thesis that although this algorithm converges for general form of …
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