Robust adaptive control of scalar plants in the presence of unmodeled dynamics is established in this paper. It is shown that implementation of a projection algorithm with standard adaptive control of a scalar plant ensures global boundedness of the overall adaptive system for a class of unmodeled dynamics.

— We propose a mathematical model for adaptive Computed Tomography acquisition whose goal is to radically reduce dosage levels. The theoretical foundation of the algorithm is nonlinear Ridgelet approximation. We show experimental results where the adaptive model produces significantly higher image quality, when compared with known non-adaptive acquisition algorithms, for the same number of proj...

In this paper, a supervised feature extraction method, named orthogonal discriminant projection (ODP), is presented. As an extension of spectral mapping method, the proposed algorithm maximizes the weighted difference between the non-local scatter and the local scatter. Moreover, the weights between two nodes of a graph are adjusted according to their class information and local information. Ex...

Current adaptive interpolated finite impulse response (IFIR) filtering algorithms update the interpolation filter and the model filter separately while in each case the other filter is fixed. In contrast, we modify the standard least mean squares (LMS) algorithm such that after each iteration the adapted filter is projected back into the set of IFIR filters. This can be considered a joint updat...

The dynamic adaptive Linear Constrained Mininium Variance (LCMV) beamformer generally uses the Normalized LMS (NLMS) algorithm for its robustness a.nd simplicity, but it suffers froin a. low convergence rat,e. This paper proposes a.n alternative beamformer incorporating a siniplifiecl Fast Affine Projection (FAP) a.lgorit,hin, which provides fast, convergence speed and low compnta.tiona1 comple...

We propose two affine projection algorithms (APA) with variable regularization parameter. The proposed algorithms dynamically update the regularization parameter that is fixed in the conventional regularized APA (R-APA) using a gradient descent based approach. By introducing the normalized gradient, the proposed algorithms give birth to an efficient and a robust update scheme for the regulariza...

Linear Discriminant Analysis (LDA) is a popular technique for supervised dimensionality reduction, and its performance is satisfying when dealing with Gaussian distributed data. However, the neglect of local data structure makes LDA inapplicable to many real-world situations. So some works focus on the discriminant analysis between neighbor points, which can be easily affected by the noise in t...

To resolve the problems that the local motions reduce the global motion estimation accuracy and traditional Gary Projection Algorithm could not deal with rotation motion, a real-time electronic image stabilization motion estimation method based on Fast Sub-block Gray Projection Algorithm is proposed. In the method, each image is divided into a number of sub-blocks, and sub-blocks are sifted acc...