A Back Propagation Artificial Neural Network (BPANN) is a well-known learning algorithmpredicated on a gradient descent method that minimizes the square error involving the networkoutput and the goal of output values. In this study, 261 GPS/Leveling and 8869 gravity intensityvalues of Iran were selected, then the geoid with three methods “ellipsoidal stokes integral”,“BPANN”, and “collocation” ...

This paper introduces a new scheme for robust video coding and transmission to reduce the effect of error propagation. In this scheme, the linear structure of motion estimation and compensation in the H.263/H.26L is rearranged to a tree structure. With this structure, the length of error propagation in most of the frames is confined to a specified number and the Macro-Block (MB) intra-refreshin...

One inherent problem of network video is the sensitivity of the compressed bit-stream to data loss. Error propagation is one of the most important factors that affect the quality of network video. This paper discusses a new scheme for robust video coding to cope with this problem. First, error propagation in Block Motion Compensation (BMC) in H.263 is analyzed using a Markov chain model. Severa...

the static pull-in instability of beam-type micro-electromechanical systems is theoretically investigated. two engineering cases including cantilever and double cantilever micro-beam are considered. considering the mid-plane stretching as the source of the nonlinearity in the beam behavior, a nonlinear size-dependent euler-bernoulli beam model is used based on a modified couple stress theory, c...

Error propagation can seriously affect the performance of an adaptive decision feedback equaliser (DFE), especially when operated in time-varying channel environments. Error propagation not only affects DFE decisions, but also disturbs the DFE adaptation. The paper focuses on improving the robustness against error propagation for the least-mean-square (LMS) based minimum mean-squared-error DFE ...