The majority of nonlinear filters used in practise are stack filters. An algorithm is presented which calculates the output distribution of an arbitrary stack filter S from the disjunctive normal form (DNF) of its underlying positive Boolean function. The so called selection probabilities can be computed along the way.

In this paper, three new methods for two-dimensional (2-D) adaptive notch filter (ANF) are proposed. They not only contain similar and simpler structures but also can be derived by simpler adaptive algorithms compared with the previous ones. They are helpful for 2-D signal processing. Simulation results show that they can eliminate 2-D sinusoidal signals successfully.

The unscented Kalman filter (UKF) is formulated for the continuous-discrete state space model. The exact moment equations are solved approximately by using the unscented transform (UT) and the measurement update is obtained by computing the normal correlation, again using the UT. In contrast to the usual treatment, the system and measurement noise sequences are included from the start and are n...

The nonlinear filters based on Taylor series approximation are broadly used for computational simplicity, even though their filtering estimates are clearly biased. In this paper, first, we analyze what is approximated when we apply the expanded nonlinear functions to the standard linear recursive Kalman filter algorithm. Next, since the state variables αt and αt−1 are approximated as a conditio...

background: adverse effect of sun rays mainly uv ray on the human eye documented and protection of eyes is necessary using different methods such as, sun glasses. sunglasses are designed in different colors. the aim of this study was evaluation of the effect of different colors of sunglasses on the visual acuity, contrast sensitivity, stereopsis and color vision. methods: 81 normal subjects wer...