Linear regression models are often useful tools for exploring the relationship between a response and a set of explanatory (predictor) variables. When both the observed response and the predictor variables are contaminated/distorted by unknown functions of an observable confounder, inferring the underlying relationship between the latent (unobserved) variables is more challenging. Recently, Şen...

The conventional quantizer design based on average error minimization over a training set does not guarantee a good subjective behaviour on individual images even if perceptual metrics are used. In this work a novel criterion for transform coder design is analyzed in depth. Its aim is to bound the perceptual distortion in each individual quantization according to a non-linear model of early hum...

Surface mesh parameterization is a fundamental tool in computer graphics, required for applications like e.g. texture mapping, remeshing and morphing. Linear parameterization methods are of particular interest. Their simplicity, efficiency and robustness, enables the processing of detailed, large meshes. In practice, however, the current linear schemes are limited to producing (quasi-)conformal...

A linear stacked field-effect transistor (FET) power amplifier (PA) is implemented using a 0.18-μm silicon-on-insulator CMOS process for W-CDMA handset applications. Phase distortion by the nonlinear gate-source capacitance (Cgs) of the common-source transistor, which is one of the major nonlinear sources for intermodulation distortion, is compensated by employing a PMOS linearizer with improve...

This paper addresses the problem of to what extent linear transformation can alleviate nonlinear distortion. We investigate a technique of global affine transformation (GAT) correlation to absorb linear distortion between gray-scale images. Features used in GAT correlation are occurrence probabilities of black pixels or gradients. Experiments using the handwritten numeral database IPTP CDROM1B ...

We consider a rate-distortion problem with side information at multiple decoders. Several upper and lower bounds have been proposed for this general problem or special cases of it. We provide an upper bound for general instances of this problem, which takes the form of a linear program, by utilizing random binning and simultaneous decoding techniques [1] and compare it with the existing bounds....

Given a set of n points in `1, how many dimensions are needed to represent all pairwise distances within a specific distortion? This dimension-distortion tradeoff question is well understood for the `2 norm, where O((logn)/ ) dimensions suffice to achieve 1 + distortion. In sharp contrast, there is a significant gap between upper and lower bounds for dimension reduction in `1. A recent result s...

Multiple images of a scene are related through 2D/3D view transformations and linear and non-linear camera transformations. In the traditional techniques to compute these transformations, especially the ones relying on direct intensity gradients, one image and its coordinate system have been assumed to be ideal and distortion free. In this paper, we present an algorithm for true multiimage alig...

With the improvement of synthetic aperture radar (SAR) technology, larger areas are being imaged and the resolution of the images has increased. Larger images have to be transmitted and stored. Due to the limited storage and/or downlink capacity on the airplane or satellite, the volume of the data must be reduced. This makes compression of SAR images with minimal loss of information important. ...

This paper presents a linearisation technique which aims to cancel out the third order distortion of a CMOS triode transconductor due to the mobility reduction effect of the conversion transistors. The transconductor consist of a parallel operating voltage and current biased differential pair. It is realised in a 0.8pm CMOS process. Simulation results, obtained with state-of-the-art MOS models,...