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Feed-Forward Staircase Codes

We propose two variants of staircase codes that resolve the issue of parity-propagation in their encoding process. The proposed codes provide a systematic way of terminating a staircase code after an arbitrary number of blocks. The class of feed-forward staircase codes are introduced, which uses a self-protection technique to avoid parity-propagation. We also introduce the class of partial feed...

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Predictive Feed Forward Stereo Processing

at which control information is made available will be more crucial than the time taken to build and update the environmental model. For these reasons it would seem natural to build a dynamic vision system for autonomous navigation with two loosely connected components with very different temporal rates that reflect their required behaviours. This approach follows roughly the ideas of a subsump...

Feed forward neural network entities

Feed Forward Neural Networks (FFNNs) are computational techniques inspired by the physiology of the brain and used in the approximation of general mappings from one nite dimensional space to another. They present a practical application of the theoretical resolution of Hilbert's 13 th problem by Kolmogorov and Lorenz, and have been used with success in a variety of applications. However, as the...

Parsimonious learning feed-forward control

We introduce the Learning Feed-Forward Control configuration. In this configuration, a B-spline neural network is contained, which suffers from the curse of dimensionality. We propose a method to avoid the occurrence of this problem. 1 Introduction In order to design a conventional feedback controller, like a state-feedback controller, detailed knowledge of the process under control is required...