Michael Christoph Gastpar

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Publications associées (132)

List-Decoding for the Arbitrarily Varying Channel Under State Constraints

Michael Christoph Gastpar

List-decoding for arbitrarily varying channels (AVCs) under state constraints is investigated. It is shown that rates within of the randomized coding capacity of AVCs with input-dependent state can be achieved under maximal error with list-decoding using l ...

2012

Compressed Sensing Phase Transitions: Rigorous Bounds versus Replica Predictions

Michael Christoph Gastpar

2012

Polar Codes for the Deterministic Broadcast Channel

Michael Christoph Gastpar, Naveen Goela

2012

Reduced-Dimension Linear Transform Coding of Correlated Signals in Networks

Michael Christoph Gastpar, Naveen Goela

A model called the linear transform network (LTN) is proposed to analyze the compression and estimation of correlated signals transmitted over directed acyclic graphs (DAGs). An LTN is a DAG network with multiple source and receiver nodes. Source nodes tra ...

Institute of Electrical and Electronics Engineers2012

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

Introduction to the Issue on Gossiping Algorithms Design and Applications

Martin Vetterli, Michael Christoph Gastpar

2011

Sensing reality and communicating bits: A dangerous liaison

Martin Vetterli, Pier Luigi Dragotti, Michael Christoph Gastpar

The successful design of sensor network architectures depends crucially on the structure of the sampling, observation, and communication processes. One of the most fundamental questions concerns the sufficiency of discrete approximations in time, space, an ...

2006

The Distributed Karhunen-Loève Transform

Martin Vetterli, Pier Luigi Dragotti, Michael Christoph Gastpar

The Karhunen–Loève transform (KLT) is a key ele- ment of many signal processing and communication tasks. Many recent applications involve distributed signal processing, where it is not generally possible to apply the KLT to the entire signal; rather, the K ...

2006

On the Performance of Independently Designed LDPC Codes for the Relay Channel

Michael Christoph Gastpar, Jérémie Ezri

2006

Sensing and communication with and without bits

Martin Vetterli, Pier Luigi Dragotti, Michael Christoph Gastpar

The successful design of sensor network architectures depends crucially on the structure of the sampling, observation, and communication processes. One of the most fundamental ques- tions concerns the sufficiency of discrete approximations in time, space, ...

2006

On the Capacity of Large Gaussian Relay Networks

Martin Vetterli, Michael Christoph Gastpar

The capacity of a particular large Gaussian relay network is determined in the limit as the number of relays tends to infinity. Upper bounds are derived from cut-set arguments, and lower bounds follow from an argument involving uncoded transmission. It is ...

2005

Power, Spatio-Temporal Bandwidth, and Distortion in Large Sensor Networks

Martin Vetterli, Michael Christoph Gastpar

For a class of sensor networks, the task is to monitor an underlying physical phenomenon over space and time through an imperfect observation process. The sensors can communicate back to a central data collector over a noisy channel. The key pa- rameters i ...

Institute of Electrical and Electronics Engineers2005

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