Publications related to Approximate Sparsity Pattern Recovery: Information-Theoretic Lower Bounds

Compressed Optical Imaging

We address the resolution of inverse problems where visual data must be recovered from incomplete information optically acquired in the spatial domain. The optical acquisition models that are involved share a common mathematical structure consisting of a l ...

EPFL2013

The Sampling Rate-Distortion Tradeoff for Sparsity Pattern Recovery in Compressed Sensing

Michael Christoph Gastpar

Recovery of the sparsity pattern (or support) of an unknown sparse vector from a limited number of noisy linear measurements is an important problem in compressed sensing. In the high-dimensional setting, it is known that recovery with a vanishing fraction ...

Institute of Electrical and Electronics Engineers2012

Compressive Sampling Strategies for Multichannel Signals

Mohammad Golbabaee

Over the past decade researches in applied mathematics, signal processing and communications have introduced compressive sampling (CS) as an alternative to the Shannon sampling theorem. The two key observations making CS theory widely applicable to numerou ...

EPFL2012

Low-Power Circuits and Systems Design for Data Acquisition and Transmission in a Wireless Cortical Implant

Vahid Majidzadeh Bafar

Minimally invasive monitoring of the electrical activity of specific cortical areas using implantable microsystems offers the promise of diagnosing neurological diseases, as well as detecting and identifying neural activity patterns which are specific to a ...

EPFL2012

Distributed Compressed Representation of Correlated Image Sets

Vijayaraghavan Thirumalai

Vision sensor networks and video cameras find widespread usage in several applications that rely on effective representation of scenes or analysis of 3D information. These systems usually acquire multiple images of the same 3D scene from different viewpoin ...

EPFL2012

Temporal SNR characteristics in segmented 3D-EPI at 7T

Rolf Gruetter, Tobias Kober, Wietske Van der Zwaag, José Pedro Rebelo Ferreira Marques

Three-dimensional segmented echo planar imaging (3D-EPI) is a promising approach for high-resolution functional magnetic resonance imaging, as it provides an increased signal-to-noise ratio (SNR) at similar temporal resolution to traditional multislice 2D- ...

Wiley-Blackwell2012

Bearing estimation via spatial sparsity using compressive sensing

Volkan Cevher

Bearing estimation algorithms obtain only a small number of direction of arrivals (DOAs) within the entire angle domain, when the sources are spatially sparse. Hence, we propose a method to specifically exploit this spatial sparsity property. The method us ...

Institute of Electrical and Electronics Engineers2012

Optimizing Quantize-Map-and-Forward Relaying for Gaussian Diamond Networks

Christina Fragouli, Ayan Sengupta, I-Hsiang Wang

We evaluate the information-theoretic achievable rates of Quantize-Map-and-Forward (QMF) relaying schemes over Gaussian

N

-relay diamond networks. Focusing on vector Gaussian quantization at the relays, our goal is to understand how close to the cutset up ...

2012

A 16-channel 220 µW neural recording IC with embedded delta compression

Alexandre Schmid, Yusuf Leblebici, Vahid Majidzadeh Bafar

A 16-channel neural action potential recording IC suitable for large-scale integration with multi-electrode arrays (MEAs) is presented. A closed-loop gain of 60 dB in the action potential band is achieved by cascading differential gain-stages utilizing a n ...

2011

Clock jitter estimation in noise

Ali H. Sayed

Clock timing jitter refers to random perturbations in the sampling time in analog-to-digital converters (ADCs). The perturbations are caused by circuit imperfections in the sampling clock. This paper analyzes the effect of sampling clock jitter on the acqu ...

IEEE2011

Approximate Sparsity Pattern Recovery: Information-Theoretic Lower Bounds

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Compressed Optical Imaging

The Sampling Rate-Distortion Tradeoff for Sparsity Pattern Recovery in Compressed Sensing

Compressive Sampling Strategies for Multichannel Signals

Low-Power Circuits and Systems Design for Data Acquisition and Transmission in a Wireless Cortical Implant

Distributed Compressed Representation of Correlated Image Sets

Temporal SNR characteristics in segmented 3D-EPI at 7T

Bearing estimation via spatial sparsity using compressive sensing

Optimizing Quantize-Map-and-Forward Relaying for Gaussian Diamond Networks

A 16-channel 220 µW neural recording IC with embedded delta compression

Clock jitter estimation in noise

Low-Power Circuits and Systems Design for Data Acquisition and Transmission in a Wireless Cortical Implant

Distributed Compressed Representation of Correlated Image Sets

Compressive Sampling Strategies for Multichannel Signals

Compressed Optical Imaging

Temporal SNR characteristics in segmented 3D-EPI at 7T

The Sampling Rate-Distortion Tradeoff for Sparsity Pattern Recovery in Compressed Sensing

Optimizing Quantize-Map-and-Forward Relaying for Gaussian Diamond Networks

Clock jitter estimation in noise

Bearing estimation via spatial sparsity using compressive sensing

A 16-channel 220 µW neural recording IC with embedded delta compression