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.
Results
Showing 1 to 20 of 106 for “"Filter-based"”.
-
Particle Filter Based Mosaicking for Forest Fire Tracking
… attempt to find single geolocation estimates and filter that estimate with subsequent observations. While this is an effective method of resolving the noise to achieve a better geolocation estimate, it reduces a fire to a single point or small set of points. A georeferenced mosaic is a more …
-
Filter-based multiscale entropy analysis of complex physiological time series
… we re-interpret the averaging process in MSE as filtering a time series by a filter of a piecewise constant type. From this viewpoint, we introduce the {\it filter-based multiscale entropy} (FME) which filters a time series by filters to generate its multiple frequency components and then compute …
-
Particle filter based tracking in a detection sparse discrete event simulation environment
… artificial intelligence suggest that particle-based tracking techniques can provide accurate and computationally efficient state estimation of opposing agents within virtual environments. In this work several particle-based methods for obtaining and tracking contacts are explored to determine …
-
Graded wavelength filter based wavelength detection for a distributed feedback laser biosensor
Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2009-12-11T18:39:31Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Altaf_Kashif.docx: 2180725 bytes, checksum: 1eda169a0e92f4bceba9ba7fb757bf1c (MD5) Altaf_Kashif.pdf: 13322684 bytes, …
-
Filter Based Stabilization Methods for Reduced Order Models of Convection-Dominated Systems
In this thesis, I examine filtering based stabilization methods to design new regularized reduced order models (ROMs) for under-resolved simulations of unsteady, nonlinear, convection-dominated systems. The new ROMs proposed are variable delta filtering applied to the evolve-filter-relax ROM (V-EFR …
-
Absorption and fluorescence spectroscopic analysis using compact, linear variable filter based, detection platforms
… spectroscopic analysis using linear variable filters (LVF). The platform's potential for integration into next generation smartphones is demonstrated by the use of a conventional CMOS image sensor in conjunction with the LVF to create the detection element. An LVF-based benchtop detection …
-
Analysis and simulation of a CIC-filter-based multiplexed-input sigma-delta analog-to-digital converter
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.
-
Development of a Multi-Frequency Adaptive Kalman Filter Based Tracking Loop for an Ionospheric Scintillation Monitoring Receiver
… thesis develops a combined GPS L1, L2C and L5 KF based tracking loop by exploiting the dispersive nature of the ionosphere and signal structure of the GPS signals. This results in a robust tracking loop suitable for a scintillation monitoring receiver. It also incorporates an adaptive algorithm …
-
Development of a Mars Exploration Rover for RASC-AL Exploration RoboOps Competition with an Extended Kalman Filter Based Navigation System
… position this system employs an Extended Kalman Filter (EKF) that fuses data from an Inertial Measurement Unit (IMU) and a Global Positioning System (GPS). The EKF utilizes complimentary data from both systems to minimize the degradation caused by inherent system error that would be experienced …
-
Real Time SLAM Using Compressed Occupancy Grids For a Low Cost Autonomous Underwater Vehicle
… compass are verified, using the Extended Kalman Filter based solution to the SLAM problem along with the particle filter based solution known as FastSLAM, to ensure that they provide in- formation that is accurate enough to solve the SLAM problem for out low cost underwater vehicle. Next, an …
-
An enhanced feature selection technique for classification of group based holy Quran verses
… computational runtime associated with wrapper-based FS techniques and low classification accuracy performance associated with filter-based FS techniques. Therefore, in this study, a hybrid feature selection technique is proposed. The proposed FS technique is a combination of filter-based …
-
Design of LCL-filters for grid-connected voltage source inverters
LCL-filters are preferred over conventional L-filters for grid-connected voltage source inverters (VSI) due to their superior harmonic attenuation, smaller filter size and weight. The LCL-filter design process is complex and takes an iterative approach due to the coherence between the filter …
-
A Particle Filtering Approach to Joint Passive Radar Tracking and Target Classification
… and target orientation, and (3) a particle filter-based implementation that takes into account realistic difficulties caused by multiple targets, false alarms, and missed detections.
-
Robust speech filtering in impulsive noise environments
This thesis presents a new robust filtering technique that suppresses impulsive noise in speech signals. The method makes use of Projection Statistics based on medians to detect segments of speech with impulses. The autoregressive model employed to smooth out the speech signal is identified by …
-
Cooperative localisation in underwater robotic swarms for ocean bottom seismic imaging.
… be deployed for experiments. A holistic fuzzy-based localisation framework for large underwater robotic swarms (i.e. with hundreds of AUVs) to dynamically fuse multiple position estimates of an autonomous underwater vehicle is proposed. Simplicity, exibility and scalability are the main three …
-
Decision tree rule-based feature selection for imbalanced data
… work proposes a feature selection method that is based on a decision tree rule and weighted Gini index. The effectiveness of the proposed methods is verified by classifying a dataset from Santander Bank and two datasets from UCI machine learning repository. The results show that our methods can …
-
Time-Varying Autoregressive Model Based Signal Processing with Applications to Interference Rejection in Spread Spectrum Communications
… for rapidly varying non-stationary signals based on time-varying autoregressive (TVAR) modeling, and to apply such methods to frequency-modulated (FM) interference rejection in direct-sequence spread spectrum (DSSS) communications. For fast varying non-stationary signal processing, such as …
-
Planar detection using modified expectation maximization
… maximization step with an optimization based maximization step or a Kalman Filter based maximization step. In addition to this, recommendations are provided to reduce the number of parameters that need to be estimated by the MEM algorithm depending on the constraints of the scene. …
-
Recognizing human emotional states from body movement
… relevant motion features using a combination of filter-based feature selection methods and the power of genetic algorithms. In addition to recognizing emotions, this thesis also focuses on gaining a deeper understanding of the role that various motion features play in emotion recognition, the …
Page 1 of 6