Blind maximum likelihood identification of Hammerstein systems
L Vanbeylen, R Pintelon, J Schoukens - Automatica, 2008 - Elsevier
This paper is about the identification of discrete-time Hammerstein systems from output
measurements only (blind identification). Assuming that the unobserved input is white …
measurements only (blind identification). Assuming that the unobserved input is white …
A study on uncertainty–complexity tradeoffs for dynamic nonlinear sensor compensation
M Gubian, A Marconato, A Boni… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
In this paper, we focus on the design of reduced-complexity sensor compensation modules
based on learning-from-examples techniques. A multiobjective optimization design …
based on learning-from-examples techniques. A multiobjective optimization design …
Application of blind identification to nonlinear calibration
L Vanbeylen, R Pintelon… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
This paper is about the identification of nonlinear discrete-time Wiener systems from output
measurements only (blind identification). Assuming that the unobserved input is white …
measurements only (blind identification). Assuming that the unobserved input is white …
Pedestrian tracking using single camera with new extended Kalman filter
H Sadoghi Yazdi, S Ebrahim Hosseini - International Journal of …, 2008 - emerald.com
Purpose–The purpose of this paper is to present research in the area of the signal
processing and application into pedestrian tracking in the video scene …
processing and application into pedestrian tracking in the video scene …
Blind identification of Hammerstein channels with QAM, PSK and OFDM inputs
G Mileounis, N Kalouptsidis… - 2008 5th IEEE Sensor …, 2008 - ieeexplore.ieee.org
This paper is concerned with the identification of pass-band and baseband Hammerstein
channels from cumulants of the noisy observations of the channel output. The channel is …
channels from cumulants of the noisy observations of the channel output. The channel is …