Al~a'aet. We describe an extension of the single-frame visual field reconstruction problem in which we consider how to efficiently and optimally fuse multiple frames of measurements obtained from images arriving sequentially over time. Specifically we extend the notion of spatial coherence constraints, used to regularize single-frame problems, to the time axis yielding temporal coherence constr...

Ultra-wide band (UWB) communication is one of the most promising technologies for high data rate wireless networks for short range applications. This paper proposes a blind channel estimation method namely IMM (Interactive Multiple Model) Based Kalman algorithm for UWB OFDM systems. IMM based Kalman filter is proposed to estimate frequency selective time varying channel. In the proposed method,...

This research tested different ways of tuning the process noise covariance matrix of a GPS/IMU extended Kalman filter. This Kalman filter was developed for a retrofit robot driver. Because of the constraints of this application, the Kalman filter had no process model for the outputs of the robot’s controller. In this situation, a significant proportion of the process noise would be caused by th...

In this paper, the robust fault detection filter design problem for linear time invariant (LTI) systems with unknown inputs and modeling uncertainties is studied. The basic idea of our study is to formulate the robust fault detection filter design as a H∞ model-matching problem. A solution of the optimal problem is then presented via a linear matrix inequality (LMI) formulation. The main result...

The particle filter attracts interest from the data assimilation research community since it does not assume a Gaussian prior error distribution. Several local filters (LPFs) have been proposed to avoid weight collapse due of observations in high dimensional systems. This study focuses on an LPF that uses ensemble transform matrix as used Kalman filter. Resampling transform-matrix-based has emp...

slow sand filters are as a proper technology for pre-treatment of raw water, with a fine and medium trubidity in small communities in developing countries. thus, with a minimum operation cost and minimum need for expest bodies have the maximum efficiency. the purpose of this research is carried out to evaluate the efficiency of two processes of horizontal flow roughing filter and vertical flow ...

Wiener filtering has many applications in the area of imaging science. In image processing, for instance, it is a common way of reducing Gaussian noise. In color science it is often used to estimate reflectances from camera response data on a pixel by pixel basis. Based on a priori assumptions the Wiener filter is the optimal linear filter in the sense of the minimal mean square error to the ac...

In this paper a new type of filter, called the H2 / H∞ FIR filter, is proposed for discretetime state space signal models. The proposed filter requires linearity, unbiased property, FIR structure, and independence of the initial state information in addition to the performance criteria in both H2 and H∞ sense. It is shown that H2, H∞, and H2 / H∞ FIR filter design problems can be converted into...

This paper deals with the design of piecewise linear H∞ filters for discrete-time piecewise linear systems. Both the system and filter have structures that change according to their switching rules. The system switching rule is characterized in terms of a given partition of the system state-space. The filter switching rule is also characterized in terms of a suitable filter state-space partitio...

This paper demonstrates that it is possible to find an ideal filter response (Chebyshev, Butterworth,..) considering the antenna as the last resonator of a filter under certain circumstances related with the antenna performance and the bandwidth of the filtenna device. If these circumstances are not accomplished, we can achieve excellent performance as well, by means of an iterative process the...