Publications related to Sampling Moments and Reconstructing Signals of Finite Rate of Innovation: Shannon Meets Strang-Fix

Active Learning of Multi-Index Function Models

We consider the problem of actively learning \textit{multi-index} functions of the form

f(x) = g(Ax)= \sum_{i=1}^k g_i(a_i^Tx)

from point evaluations of

f

. We assume that the function

f

is defined on an

\ell_2

-ball in

\Real^d

,

g

is twice contin ...

2012

Functions With Orthogonal Hessian

Bernard Dacorogna

A Dirichlet problem for orthogonal Hessians in two dimensions is explicitly solved, by characterizing all piecewise C-2 functions u Omega subset of R-2 -> R with orthogonal Hessian in terms of a property named "second order angle condition" as in (1 1) ...

2010

Multichannel Sampling with Unknown Gains and Offsets: A Fast Reconstruction Algorithm

Martin Vetterli, Yue Lu

We study a multichannel sampling scheme, where different channels observe scaled and shifted versions of a common bandlimited signal. The channel gains and offsets are unknown a priori, and each channel samples at sub-Nyquist rates. This setup appears in m ...

2010

Electrical Modeling of Long-Wavelength VCSELs for Intrinsic Parameters Extraction

Elyahou Kapon, Vladimir Iakovlev

We present an efficient method to model the small-signal modulation response of a long-wavelength VCSEL chip using an equivalent electrical circuit. This circuit serves two distinct purposes. Based on T-Matrix formalism, it is used to remove the parasitics ...

2010

Comparative Analysis of Various Single-tone Frequency Estimation Techniques in High-order Instantaneous Moments Based Phase Estimation Method

Pramod Rastogi, Sai Siva Gorthi

For phase estimation in digital holographic interferometry, a high-order instantaneous moments (HIM) based method was recently developed which relies on piecewise polynomial approximation of phase and subsequent evaluation of the polynomial coefficients us ...

AIP Conf. Proc.2010

Characterization of Memristive Poly-Si Nanowires via Empirical Physical Modelling

Giovanni De Micheli, Sandro Carrara

Memristors are passive circuit elements that behave as resistors with memory. The recently illustrated experimental realization of memristive behaviour of Polysilicon Nanowires has triggered interest in this concept, which is promising to a wide variety of ...

2010

A 1.8V 12-bit 230-MS/s pipeline ADC in 0.18um CMOS technology

Seyed Armin Tajalli, Yusuf Leblebici, Zeynep Toprak Deniz, Omer Can Akgun, Thomas Liechti

This paper describes the implementation of a 12-bit 230 MS/s pipelined ADC using a conventional 1.8V, 0.18μm digital CMOS process. Two-stage folded cascode OTA topology is used for improved settling performance. Extreme low-skew (less than 3ps peak-to-peak ...

IEEE2008

Exact Local Reconstruction Algorithms for Signals with Finite Rate of Innovation

Martin Vetterli, Thierry Blu, Pier Luigi Dragotti

Consider the problem of sampling signals which are not bandlimited, but still have a finite number of degrees of freedom per unit of time, such as, for example, piecewise polynomial or piecewise sinusoidal signals, and call the number of degrees of freedom ...

2006

Super-resolution from unregistered aliased images

Patrick Vandewalle

Aliasing in images is often considered as a nuisance. Artificial low frequency patterns and jagged edges appear when an image is sampled at a too low frequency. However, aliasing also conveys useful information about the high frequency content of the image ...

EPFL2006

Oversampled A/D Conversion and Error-Rate Dependence of Non-Bandlimited Signals with Finite Rate of Innovation

Ivana Jovanovic

We study the problem of A/D conversion and error-rate dependence of a class of non-bandlimited signals which have a finite rate of innovation, particularly, a continuous periodic stream of Diracs, characterized by a finite set of time positions and weights ...

2006

Sampling Moments and Reconstructing Signals of Finite Rate of Innovation: Shannon Meets Strang-Fix

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Active Learning of Multi-Index Function Models

Functions With Orthogonal Hessian

Multichannel Sampling with Unknown Gains and Offsets: A Fast Reconstruction Algorithm

Electrical Modeling of Long-Wavelength VCSELs for Intrinsic Parameters Extraction

Comparative Analysis of Various Single-tone Frequency Estimation Techniques in High-order Instantaneous Moments Based Phase Estimation Method

Characterization of Memristive Poly-Si Nanowires via Empirical Physical Modelling

A 1.8V 12-bit 230-MS/s pipeline ADC in 0.18um CMOS technology

Exact Local Reconstruction Algorithms for Signals with Finite Rate of Innovation

Super-resolution from unregistered aliased images

Oversampled A/D Conversion and Error-Rate Dependence of Non-Bandlimited Signals with Finite Rate of Innovation

Electrical Modeling of Long-Wavelength VCSELs for Intrinsic Parameters Extraction

Oversampled A/D Conversion and Error-Rate Dependence of Non-Bandlimited Signals with Finite Rate of Innovation

Functions With Orthogonal Hessian

Comparative Analysis of Various Single-tone Frequency Estimation Techniques in High-order Instantaneous Moments Based Phase Estimation Method

Super-resolution from unregistered aliased images

Active Learning of Multi-Index Function Models

Multichannel Sampling with Unknown Gains and Offsets: A Fast Reconstruction Algorithm

Characterization of Memristive Poly-Si Nanowires via Empirical Physical Modelling

A 1.8V 12-bit 230-MS/s pipeline ADC in 0.18um CMOS technology

Exact Local Reconstruction Algorithms for Signals with Finite Rate of Innovation