The paper analyzes observations using a logic-based numerical methodology in Python. Logical Analysis of Data (LAD) specializes selecting minimal number features and finding unique patterns within it to distinguish ‘positive’ from ‘negative’ observations. Python implementation the classification model is further improved by introducing adaptations pattern generation techniques. Finally, case st...

Distributed signal processing algorithms have become a key approach for statistical inference in wireless networks and applications such as wireless sensor networks and smart grids. It is well known that distributed processing techniques deal with the extraction of information from data collected at nodes that are distributed over a geographic area. In this context, for each specific node, a se...