We focus on the problem of manifold estimation: given a set observations sampled close to some unknown submanifold M, one wants recover information about geometry M. Minimax estimators which have been proposed so far all depend crucially priori knowledge parameters quantifying underlying distribution generating sample (such as bounds its density), whereas those quantities will be in practice. O...

We present an estimation-based approach to the design of adaptive IIR filters. We also use this approach to design adaptive filters when a feedback signal from the output of the adaptive filter contaminates the reference signal. We use an H, criterion to cast the problem as a nonlinear H, filtering problem, and present an approximate linear H, filtering solution. This linear filtering solution ...

VIDEO CODING AND DECODING USING BLIND NON ADAPTIVE ESTIMATION AND ADAPTIVE ESTIMATION OF KLT BASIS VECTORS An approach to video encoding and decoding by using three different algorithms techniques is discussed in this project. These methods can be used to estimate the basis vectors used by Karhunen-Loeve Transform (KLT) for encodıng and decodıng of the frames in a video sequences. The first met...

The focus in this report is set on adaptive control systems with practical application. Five different papers and their adaptive control design are presented and evaluated. The introduction gives a small impression why adaptive control systems are essential in most applications. The second part is a theoretical part that introduces some of the basic adaptive control characteristics. In the thir...

Two algorithms are presented for the rejection of sinusoidal disturbances with unknown frequency. The rst is an indirect algorithm where the frequency of the disturbance is estimated, and the estimate is used in another adaptive algorithm that adjusts the magnitude and phase of the input needed to cancel the eeect of the disturbance. A direct algorithm that uses the concept of a phase-locked lo...

this paper presents a new control methodology for active power filters that provide an adaptive online harmonic estimation with partial and selective harmonic reduction schemes, which has been implemented within an integrated controller. the proposed approach is to provide partial and selective reduction of those individual harmonics which exceed the recommended levels as set by regulatory bodi...

On-line estimation of variable parameters of synchronous machines based on a novel adaptive algorithm is presented. The estimation process involves instantaneous parameter tracking and subsequent data processing. The variable parameters are ultimately expressed as nonlinear functions of operating conditions. On-line estimation process is applied to a IOOMVA turbogenerator. While this paper deal...