Uncertain parameters of state-space models have always been a considerable problem. Consider Kalman filter (CKF) and desensitized Kalman filter (DKF) are two methods to solve this problem. Based on the sensitivity matrix respected to the uncertain parameter vector, a special DKF with an analytical gain is given and a new form of the CKF is derived. The mathematical equivalence between the speci...

The standard coded aperture imaging approach assumes: • sources at infinity; • isolated point sources in specific directions; • masks with flat power spectrum (except for DC); • thin masks free of vignetting; • collimation to block rays from " out of view " directions; • visible sources cast full cycle of mask pattern on detectors; • use of correlation with the mask pattern to generate an image...

Conventional techniques for optimal experimental design are based on local sensitivity analysis to quantify parameter effects on the output. However, one of the key challenges for experimental design is that the local sensitivity is dependent on the unknown parameter values for a nonlinear model. This problem can be addressed if the sensitivity matrix, used in experimental design, could be comp...