This paper describes the characterisation of buildings using fully polarimetric interferometric SAR data at Lband. This analysis is performed in two steps. Urban targets are first discriminated from surrounding natural media, using a polarimetric classification procedure. Then, urban objects are characterised by their shape information. The length and width is obtained using a superresolution p...

Learning speed enhancement is one of the most important issues in learning control. If we can improve both learning speed and tracking performance, it will be helpful to the applicability of learning control. Considering these facts, in this paper, we propose a learning speed enhancement scheme for iterative learning control with advanced output data (ADILC) based on parameter estimation. We co...

In multi-pass space-borne SAR interferometry, the two acquisitions often present low correlation levels and very noisy phase measurements which are incompatible with automatic phase unwrapping. Instead of dealing with many residues due to erroneous wrapped phase diierences, we propose to use the local frequency as measured by a spectral analysis algorithm presented in a previous paper 1]. For t...

We study phase retrieval from rank-one magnitude and more general linear magnitude measurements of an unknown signal as an algebraic estimation problem. It is verified that a certain number of generic rank-one or generic linear measurements are sufficient to enable signal reconstruction for generic signals, and slightly more generic measurements yield reconstructability for all signals. Our res...

1,2 Department of EEE, Sree Buddha College of Engineering, Pattoor, Alappuzha Abstract— Model Reference Adaptive System (MRAS) based speed sensorless estimation of vector controlled induction motor drives are presented in this paper. New speed and current estimation techniques are presented. These are used to formulate a single current sensor based vector controlled drive. The proposed method i...

A class of time-frequency distributions with complex-lag argument is proposed. It is based on the ambiguity domain representations of real and complex lag moment, combined to provide a cross-terms free representation for multicomponent signals. Furthermore, the distributions from the proposed class provide a more effective instantaneous frequency estimation for signals with fast varying phase f...

We study phase retrieval from magnitude measurements of an unknown signal as an algebraic estimation problem. Indeed, phase retrieval from rank-one and more general linear measurements can be treated in an algebraic way. It is verified that a certain number of generic rank-one or generic linear measurements are sufficient to enable signal reconstruction for generic signals, and slightly more ge...

In this paper, we investigate a new method for extracting useful information from the group delay spectrum of speech. The group delay spectrum is often poorly behaved and noisy. In the literature, various methods have been proposed to address this problem. However, to make the group delay a more tractable function, these methods have typically relied upon some modification of the underlying spe...

A new phase-based approach for sinusoidal frequency and phase estimation of a single tone is proposed in this paper. The major step is to arrange the observed data into several subsets by downsampling and exploit the new structure for parameter estimation. The maximum likelihood (ML) approach is then developed, and the performance of this estimator is shown to have a uniform performance along t...