In continuous wave (CW) radar and high pulse repetition frequency pulse-Doppler (HPRF-PD) radar, the interference plus noise sample snapshots are hard to be obtained. The desired signal in the received snapshots makes the LCMV-based adaptive monopulse algorithm sensitive to pattern look direction error. A linearly constrained subarray robust adaptive monopulse algorithm based on main lobe maint...

We deal with parametric uncertainties in boundary conditions or reaction terms involving boundary values. We show how adaptive boundary control problems can be solved using output feedback, for unstable PDEs with infinite relative degree. Boundary sensing is employed, along with a Kreisselmeier type adaptive observer. We also design adaptive boundary controllers for a reaction-advection-diffusi...

This paper introduces an estimation scheme aimed at improving the performance of adaptive filters. The basic idea consists of a convex combination of three adaptive filters, all based on the affine projection algorithm with different numbers of normalization hyperplanes. The three filters are adjusted separately and then combined to minimize the MSE and to increase the speed of convergence of t...

Employing a recently introduced framework, within which a large number of classical and modern adaptive lter algorithms can be viewed as special cases, a generic, variable step-size adaptive lter has been presented. Variable Step-Size (VSS) Normalized Least Mean Square (VSSNLMS) and VSS A ne Projection Algorithms (VSSAPA) are particular examples of adaptive algorithms covered by this generic va...

Local Fisher Discriminant Analysis (LFDA) is a feature extraction method which combines the ideas of Fisher discriminant analysis (FDA) and locality preserving projection (LPP). It works well for multimodal problems. But LFDA suffers from the under-sampled problem of the linear discriminant analysis (LDA). To deal with this problem, we propose a regularized orthogonal local Fisher discriminant ...

we have examined the convergence behavior of the lscma in some simple environments. algorithms such as multi¬ target cma, multistage cma, and iterative least squares with projection can be used for this purpose. the results presented here can form a basis for analysis of these multi-signal extraction techniques. clearly, the variance and distribution of output sinr obtained with the lscma is al...

An algorithm from Radon transform to obtain local tomography from multiple CT slices for localized 3D reconstruction is developed. The proposed method uses Radon transform to obtain projections for a region of interest. Reconstructing a particular cross section of a human body using local data will significantly reduce Xray exposure during imaging. Image reconstruction is performed using filter...

Nipple-areolar complex (NAC) reconstruction is the final step in the long journey of breast reconstruction for mastectomy patients. Successful NAC reconstruction depends on the use of appropriate surgical techniques that are simple and reliable. To date, numerous techniques have been used for nipple reconstruction, including contralateral nipple sharing and various local flaps. Recently, it has...

Matching algorithms use random start local search and a D pose recovery algorithm to nd optimal matches between D object models and D image fea tures An algorithm using only a weak perspective ap proximation to full D perspective solves a subset of the test problems presented A second algorithm al ways uses an iterative D pose algorithm to account for D perspective and solves all test problems ...