Browsing by Keywords "Kalman filtering"
Now showing items 1-11 of 11
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Adaptive tracking of narrowband HF channel response
(Wiley-Blackwell Publishing, 2003)Estimation of channel impulse response constitutes a first step in computation of scattering function, channel equalization, elimination of multipath, and optimum detection and identification of transmitted signals through ... -
Dynamic obstacle avoidance with a prototype mobile robot using acoustic, infrared and position sensing
(Bilkent University, 1997)In this study, a small mobile robot is designed and built which employs infrared and acoustic sensors for detecting obstacles in the environment and a computer mouse for position sensing* that is installed underneath the ... -
The effects of different inflation risk premiums on interest rate spreads
(Elsevier BV, 2004)This paper analyzes how the different types of inflation uncertainty affect a set of interest rate spreads for the UK. Three types of inflation uncertainty - structural uncertainty, impulse uncertainty, and steady-state ... -
An efficient and effective second-order training algorithm for LSTM-based adaptive learning
(IEEE, 2021-04-07)We study adaptive (or online) nonlinear regression with Long-Short-Term-Memory (LSTM) based networks, i.e., LSTM-based adaptive learning. In this context, we introduce an efficient Extended Kalman filter (EKF) based ... -
Efficient online learning algorithms based on LSTM neural networks
(Institute of Electrical and Electronics Engineers, 2018)We investigate online nonlinear regression and introduce novel regression structures based on the long short term memory (LSTM) networks. For the introduced structures, we also provide highly efficient and effective online ... -
Efficient online training algorithms for recurrent neural networks
(Bilkent University, 2020-12)Recurrent Neural Networks (RNNs) are widely used for online regression due to their ability to learn nonlinear temporal dependencies. As an RNN model, Long-Short-Term-Memory Networks (LSTMs) are commonly preferred in ... -
Estimation of object location and radius of curvature using ultrasonic sonar
(Elsevier, 2001-07)Acoustic sensors are very popular in time-of-flight (TOF) ranging systems since they are inexpensive and convenient to use. One of the major limitations of these sensors is their low angular resolution which makes object ... -
Input sequence estimation and blind channel identification in HF communication
(IEEE, 2000)A new algorithm is proposed for reliable communication over HF tropospheric links in the presence of rapid channel variations. In the proposed approach, using fractionally space channel outputs, sequential estimation of ... -
Is there a flight to quality due to inflation uncertainty?
(Elsevier BV, 2005)After two types of inflation uncertainty are derived within a time-varying parameter model with GARCH specification, the relationship between inflation uncertainty and interest rates for safe assets is investigated. The ... -
Location and curvature estimation of "spherical" targets using a flexible sonar configuration
(IEEE, 1996)A novel, flexible, three-dimensional (3-D) multi-sensor sonar system is employed to localize the center of a spherical target and estimate its radius of curvature. The interesting limiting cases for the problem under study ... -
Neural networks based online learning
(IEEE, 2017)In this paper, we investigate online nonlinear regression and introduce novel algorithms based on the long short term memory (LSTM) networks. We first put the underlying architecture in a nonlinear state space form and ...
