Advisors
Now showing items 1-20 of 36
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3D electron density estimation in the ionosphere by using IRI-Plas model and GPS measurements
(Bilkent University, 2016-05)Three dimensional imaging of the electron density distribution in the ionosphere is a crucial task for investigating the ionospheric effects. Dual-frequency Global Positioning System (GPS) satellite signals can be used ... -
Adaptive techniques in compressed sensing based direction of arrival estimation
(Bilkent University, 2021-07)Direction of arrival (DOA) estimation is an important research area having exten-sive applications including radar, sonar, wireless communications, and electronic warfare systems. Development and popularization of the ... -
Anomaly detection in diverse sensor networks using machine learning
(Bilkent University, 2022-01)Earthquake precursor detection is one of the oldest research areas that has the potential of saving human lives. Recent studies have enlightened the fact that strong seismic activities and earthquakes affect the electron ... -
A compressive measurement matrix design for detection and tracking of direction of arrival using sensor arrays
(Bilkent University, 2016-07)Direction of Arrival (DoA) estimation is extensively studied in the array signal processing with many applications areas including radar, sonar, medical diagnosis and radio astronomy. Since, in sparse target environments, ... -
Deep learning in electronic warfare systems: automatic pulse detection and intra-pulse modulation recognition
(Bilkent University, 2020-12)Detection and classification of radar systems based on modulation analysis on pulses they transmit is an important application in electronic warfare systems. Many of the present works focus on classifying modulations ... -
Development of new array signal processing techniques using swarm intelligence
(Bilkent University, 2010)In this thesis, novel array signal processing techniques are proposed for identifi- cation of multipath communication channels based on cross ambiguity function (CAF) calculation, swarm intelligence and compressed sensing ... -
Distributed MIMO radar signal processing
(Bilkent University, 2022-07)Radar systems are remote sensing tools that generate electromagnetic waves and extract information by receiving altered versions of these waves. Nowadays, many radar types are being used in specific areas such as weather ... -
Early diagnosis of acute coronary syndromes automatically by using features of ECG recordings = EKG kayıtlarının öznitelikleri kullanılarak akut koroner sendromların otomatik olarak erken teşhisi
(Bilkent University, 2014)In patients with acute coronary syndrome, temporary chest pains together with changes in the ST/T sections of ECG occur shortly before the start of myocardial infarction. In order to diagnose acute coronary syndromes ... -
Exact blind channel estimator
(Bilkent University, 1998)Recently blind identification of single-input multiple-output (SIMO) FIR channels has received considerable attention. The obtained exact identification approaches place over-restrictive constraints on the channels. In ... -
Fast and robust solution techniques for large scale linear least squares problems
(Bilkent University, 2020-07)Momentum Iterative Hessian Sketch (M-IHS) techniques, a group of solvers for large scale linear Least Squares (LS) problems, are proposed and analyzed in detail. Proposed M-IHS techniques are obtained by incorporating the ... -
Innovation based transmission in AI-enabled sensor networks for 6G IoT scenario
(Bilkent University, 2022-09)Goal-oriented signal processing and communications are assured to play a key role in developing the next generation of sensor devices and networks, e.g., 6G IoT networks. A critical task of semantic signal processing is ... -
Interpolation of ionospheric modalities using kriging, co-kriging and spatio-temporal kriging
(Bilkent University, 2018-06)Long distance communication and navigation systems operating in the HF band use interacting signals as they travel through the ionosphere. It is important to accurately model ionospheric behavior to increase the performance ... -
Investigation on the reliability of earthquake prediction based on ionospheric electron content variation
(Bilkent University, 2013)Ionosphere region of Earth’s upper atmosphere ranging from 90 km to 1000 km altitude, has a significant effect on military and civilian communications, satellite communications and positioning systems. Solar, geomagnetic, ... -
Investigations on efficient adaptation algorithms
(Bilkent University, 1995)Efficient adaptation algorithms, which are intended to improve the performances of the LMS and the RLS algorithms are introduced. It is shown that nonlinear transformations of the input and the desired signals by a softlimiter ... -
Maximum likelihood estimation of parameters of superimposed signals by using tree-structured EM algorithm
(Bilkent University, 1997)As an extension to the conventional EM algorithm, tree-structured EM algorithm is proposed for the ML estimation of parameters of superimposed signals. For the special case of superimposed signals in Gaussian noise, the ... -
Maximum likelihood estimation of robust constrained Gaussian mixture models
(Bilkent University, 2013)Density estimation using Gaussian mixture models presents a fundamental trade off between the flexibility of the model and its sensitivity to the unwanted/unmodeled data points in the data set. The expectation ... -
A new approach to time-frequency localized signal design
(Bilkent University, 2001) -
A new time-frequency analysis technique for neuroelectric signals
(Bilkent University, 2002)In the presence of external stimuli, the functioning brain emits neuroelectrical signals which can be recorded as the Event Related Potential (ERP) signals. To understand the brain cognitive functions, ERP signals have ... -
A novel array signal processing technique for multipath channel parameter estimation
(Bilkent University, 2006)Many important application areas such as mobile communication, radar, sonar and remote sensing make use of array signal processing techniques. In this thesis, a new array processing technique called Cross Ambiguity ... -
Novel methods for SAR imaging problems
(Bilkent University, 2013)Synthetic Aperture Radar (SAR) provides high resolution images of terrain reflectivity. SAR systems are indispensable in many remote sensing applications. High resolution imaging of terrain requires precise position ...