Figure 16. Pole Wizard and Density Preferences GUI • Pole Wizard: Pole Density - This parameter selects for inclusion in the processing all displayed poles whose density is greater than or equal this value. As shown in the GUI, the value of one uses all displayed poles without limiting the number of poles evaluated. This affects procedure Step 3. • Pole Wizard: Cluster Size - This parameter determines the minimum number of poles considered to represent an acceptable consistent spatio-temporal cluster. This affects procedure Step 7. • Pole Wizard: MAC Threshold - This parameter determines the minimum MAC value which is considered significant in the determination of valid vector clusters. This affects procedure Step 6. • Pole Wizard: Index Threshold - This parameter determines the minimum value of the scaled singular vector at which it is still considered a valid logical index. This affects procedure Step 7. • Pole Density: Limits: Tolerance - This parameter determines the complex frequency radius around a pole in which any other pole is within this radius is considered to be part its cluster. The pole density is the number of poles located within the circle. This affects procedure Step 3. 6. Summary and Future Work In this paper, a general autonomous modal parameter identification procedure has been presented along with a review of the history and theory applicable to the development of the autonomous procedures. This autonomous parameter estimation method utilizes the concept of evaluating statistically significant pole weighted vectors among thousands of possible solutions as the primary approach to identifying modal parameters. This involves the correlation of pole weighted vectors from multiple (more than two) sets of solutions involving either long or short basis vectors. This technique has been shown to be general and applicable to most standard commercially available algorithms. With the advent of more computationally powerful computers and sufficient memory, it has become practical to evaluate sets of solutions involving thousands of modal parameter estimates and to extract the common information from those sets. The 380
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