Channel estimation problem is one of key technical issues in time-variant multiple-input multiple-output (MIMO) communication systems. To estimate the MIMO channel, least mean square (LMS) algorithm was applied to adaptive channel estimation (ACE). Since the MIMO channel is often described by sparse channel model, such sparsity could be exploited and then estimation performance could be improve...

Sparse channel estimation problem is one of challenge technical issues in stable broadband wireless communications. Based on square error criterion (SEC), adaptive sparse channel estimation (ASCE) methods, e.g., zero-attracting least mean square error (ZA-LMS) algorithm and reweighted ZA-LMS (RZA-LMS) algorithm, have been proposed to mitigate noise interferences as well as to exploit the inhere...

Seismic screening, evaluation, and rehabilitation design of two existing wood-framed structures are performed using FEMA 154, FEMA 356, ASCE/SEI 31, and the 1997 UBC. FEMA 154 screening demonstrates the importance of examining construction drawings. Plans revealed a structural deficiency, but screening alone indicated no further evaluation is needed. Demand-to-capacity ratios for shear walls an...

Draft manuscripts: Authors may post the final drafts of their work on open, unrestricted Internet sites or deposit it in an institutional repository when the draft contains a URL/link to the bibliographic record of the published version in the ASCE Library or Civil Engineering Database. ”Final draft” means the version submitted to ASCE after peer review and prior to copyediting or other ASCE pr...

Nicola Pedroni, E Zio, A Pasanisi, M Couplet. Empirical comparison of two methods for the Bayesian update of the parameters of probability distributions in a two-level hybrid probabilistic-possibilistic uncertainty framework for risk assessment. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, American Society of Civil Engineers (ASCE), 2015, pp.04015...