outlier detection
The fifth generation (5G) wireless communications system offers faster data rates, lower latency, and higher number of interconnecting devices. Various 5G channel models were developed to study its stochastic characteristics prior to its implementation. These channel models generate multipath components that are grouped into clusters when they have similar properties in delay and angles. The multipaths and multipath clusters are used as datasets in multipath clustering which is used to examine the propagation properties of the 5G system. However, datasets are prone to outliers.
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This MATLAB function efficiently detects and removes outliers from a specified time slice of a radar data cube, improving data quality for analysis. It utilizes statistical thresholds to identify outliers and offers the option to visualize and save the cleaning process as a GIF, facilitating a clearer understanding of data integrity enhancements. The functionality is crucial for preprocessing in meteorological studies, ensuring accurate representations in spatial and temporal data analyses.
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