研究目的
Investigating the application of the Feature Selective Validation (FSV) method to multiple dimension data and its use in analyzing transient or pulse phenomena.
研究成果
The paper provides a brief introduction to data comparisons in multiple dimensions using FSV, illustrating its operation with a simple example. The method reveals a remarkable amount of detail showing levels of data that would be difficult to visualize in other ways.
研究不足
The approach using multiple 1D comparisons and then recombining at the intersecting points is computationally intensive and does not readily allow generality of shape or easy extension beyond that.
1：Experimental Design and Method Selection:
The FSV method is applied to compare data sets with multiple degrees of freedom, focusing on surface currents or fields in a volume. The method involves the use of low pass, band pass, and high pass filters to analyze the data.
2：Sample Selection and Data Sources:
Data from a simple branch line coupler circuit implemented in a commercial full wave electromagnetic solver (Microwave Studio, from CST) is used. The circuit is pulse excited at port 1, and surface currents at 5.8GHz and 5.9GHz are compared.
3：8GHz and 9GHz are compared.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: Commercial full wave electromagnetic solver (Microwave Studio, from CST).
4：Experimental Procedures and Operational Workflow:
The circuit is excited with a pulse, and surface currents at two closely spaced frequencies are compared using the FSV method to illustrate differences.
5：Data Analysis Methods:
The FSV method is used to analyze the data, with the resulting point-by-point analysis helping to identify locations where attention needs to be placed to investigate poor comparisons.
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