In This Paper Two Modal Identification Approaches Appropriate for Use in a Distributed Computing Environment Are Applied to a Full-Scale, Complex Structure. the Natural Excitation Technique (NExT) is Used in Conjunction with a Condensed Eigensystem Realization Algorithm (ERA), and the Frequency Domain Decomposition with Peak-Picking (FDD-PP) Are Both Applied to Sensor Data Acquired from a 57.5-Ft, 10 Bay Highway Sign Truss Structure. Monte-Carlo Simulations Are Performed on a Numerical Example to Investigate the Statistical Properties and Sensitivity to Noise of the Two Distributed Algorithms. Experimental Results Are Provided and Discussed. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).