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 63 for “"ADAPTIVE FILTERING"”.
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Partial Update Adaptive Filtering
Adaptive filters play an important role in the fields related to digital signal processing and communication, such as system identification, noise cancellation, channel equalization, and beamforming. In practical applications, the computational complexity of an adaptive filter is an important …
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Meta-learning for adaptive filtering
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms
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Image enhancement using digital adaptive filtering.
Thesis. 1977. M.S.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
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Improving performance for adaptive filtering with voice applications
… OF MISSOURI-COLUMBIA AT AUTHOR'S REQUEST.] Adaptive filtering is a common solution to many signal processing applications in which the environments are time varying. Its performance is limited by the misadjustment. A method to reduce the misadjustment when the additive noise in the desired …
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Perfect Reconstruction Filter Banks for Adaptive Filtering and Coding
… perfect reconstruction filter banks (PRFBs) for adaptive filtering and coding applications. The first half of this thesis derives a generalization to the Transform Domain Adaptive Filter (TDAF), which uses filter banks instead of unitary transforms to preprocess input signals. The parametrization …
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A reduced complexity adaptive filtering system for directional listening
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.
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Practical techniques for rapid and reliable real-time adaptive filtering
… are three important aspects of practical adaptive filtering systems. In this work, two techniques are investigated which address these issues. First, a new class of data-reusing LMS algorithms is explored. These algorithms are seen, through extensive simulation examples, to have superior …
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Multistage adaptive filtering in a multirate digital signal processing system
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1993.
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Physiological mechanisms of hippocampal memory processing : experiments and applied adaptive filtering
… rate representations using a point process adaptive filter to characterize single-unit activity from each subregion. We compared the dynamics of these rate representations by computing average max rate and average rate modulation during different experimental epochs and on different segments …
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Probability Density Function Estimation Applied to Minimum Bit Error Rate Adaptive Filtering
… interference, large and small-scale fading, etc. Adaptive filtering is the usual approach to mitigating this channel distortion. Existing adaptive filtering techniques usually attempt to minimize the mean square error (MSE) of some aspect of the received signal, with respect to the desired aspect …
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Reduced Rank Adaptive Filtering Applied to Interference Mitigation in Wideband CDMA Systems
… and application of advanced reduced rank adaptive signal processing techniques for high data rate wireless code division multiple access (CDMA) communications systems. This is an important area of research in the field of wireless communications. Current systems are moving towards the use …
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A novel Adaptive Filtering approach to Drive File Identification for Service Environment Replication
… separately 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 …
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The effects of precision on the fast, recursive least-squares transversal filters for adaptive filtering
… (FTF), an important class of algorithms for adaptive filtering, have the well known problem of numerical instability. Several recent papers have suggested methods to modify the algorithm presented by Cioffi [3] to improve the algorithm’s stability. This paper explores the relationship between …
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Iterative Learning Control of an Electrohydraulic Injection Molding Machine With Smoothed Fill -to -Pack Transition and Adaptive Filtering
The control algorithms are implemented and tested on an industrial IMM as well as a smaller physical testbed. The results of the experimental investigations demonstrate several things. The system model is shown to be very accurate and provides an excellent simulation environment for rapid …
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Multimodal neuroimaging with simultaneous electroencephalogram and high-field functional magnetic resonance imaging
… the ballistocardiogram artifact using adaptive filtering, and use these methods to study the 40-Hz auditory steady-state response (ASSR). The adaptive filtering method outperforms existing standard methods by up to 600%. The ASSR is a sub-microvolt level auditory evoked potential …
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Wideband active antenna cancellation
… isolation 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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On Ways to Improve Adaptive Filter Performance
Adaptive filtering techniques are used in a wide range of applications, including echo cancellation, adaptive equalization, adaptive noise cancellation, and adaptive beamforming. The performance of an adaptive filtering algorithm is evaluated based on its convergence rate, misadjustment, …
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DCD Algorithm: Architectures, FPGA Implementations and Applications
… such as antenna array beamforming, adaptive filtering, multi-user and multiple-input multiple-output (MIMO) detection, channel estimation and equalization, echo and interference cancellation and others, solving linear systems of equations often provides an optimal performance. …
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Motion Artifact Reduction in Impedance Plethysmography Signal
… The main aim of this dissertation is to develop adaptive and non-adaptive filtering algorithms to address the problem of motion artifact reduction from the IP signal.
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