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This paper deals with the attitude estimation of a rigid body equipped with angular velocity sensors and reference vector sensors. A quaternion-based nonlinear observer is proposed in order to fuse all information sources and to obtain an accurate estimation of the attitude. It is shown that the observer error dynamics can break up into two passive subsystems connected in “feedback”. Then, this property...
We propose behavioral time-domain modeling for a Sigma-Delta Modulator (ΣΔM) to sense photocurrent in a CMOS Image Sensor (CIS). The model starts from transfer function for first-order single-bit ΣΔM in discrete-time, and then adds noise sources and nonlinearities by introducing noise floor and harmonic distortion, which determine system performance. The results were compared with the measurements...
This paper presents a performance evaluation of a new multimodal image registration algorithm which is based on Bayesian estimation theory, specifically on Particle Filters. The results point to an efficient, easy to implement and robust to noise algorithm. The registration method showed good performance when using partial data, and it was compared with an algorithm based on maximization of mutual...
The analysis of the ECG signal is widely used for detecting a variety of cardiac pathologies. Most of the clinically useful information embedded in the ECG is related to the duration and amplitude of its individual components. Producing algorithms for the automatic extraction of the ECG features is complicated due to the time-varying nature of the signal resulting of variable physiological conditions...
In many control designs, noise tolerance is an important goal because of the robustness property of the designed controller. In this paper, we propose a filtering strategy for the transient and specially noise behavior performance improvement of model reference adaptive control (MRAC) for continuous time single-input single-output (SISO) systems with linear time varying (LTV) plant parameters. The...
In this study, we apply the robust error estimation theory as a basis to develop an appropriate procedure that performs the processing and enhancement of the remote sensing (RS) image contaminated by composite noise (additive and multiplicative) and degraded by the data acquisition system. The first reconstruction stage is performed using the Bayesian statistical estimators referred to as WCMAP {...
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