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Second order blind identification.
How sure can one be that the appraisal of the posit is accurate?—For that Reichenbach introduces again an even higher order blind posit.
Van der Kouwe et al. [13] conducted an experimental study that compared CASA [4] to multi-microphone BSS approaches (joint approximate diagonalization of eigen-matrices (JADE) [14] and second order blind identification (SOBI) [15] algorithms), and showed the advantage of the latter approaches that utilize spatial information.
Samples were assayed in random order, blind to histology results.
Four samplings were performed on each patient in the following order: blind protected brush (BPB), bronchoscopic-directed protected brush (BDPB), bronchoalveolar lavage (BAL), and endotracheal aspirates (ETA).
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The scorer reviewed the cases in a randomised and unpaired order, blinded to the clinical details.
Scoring of IHC slides was performed by one observer (PJvD) in random order, blinded to other data in the paired samples.
For each patient, photographic slides (each containing 3 views: 1 front, 1 right side, 1 left side) were submitted to a committee of 3 experts in random order, blinded (before treatment/after treatment or after treatment/before treatment), and without indication of the injection site.
The efficacy of the proposed technique is demonstrated using several simulation based studies, and compared to the popular Second-Order Blind Identification (SOBI) scheme.
In this paper a modified version of the blind source separation (BSS -based Second-Order BSS -basedtification (SOBI) method was used to perform modal damping identification on a model Blinde structure under varyIdentificationnditionSOBI
Second-order blind identification (SOBI) is a blind source separation (BSS) algorithm that has been applied to MEG and EEG data collected during a range of sensory, motor, and cognitive tasks.
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