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- Junan Zhu, Dror Baron, Florent Krzakala
- IEEE Transactions on Signal Processing
- 2017

Compressed sensing (CS) demonstrates that sparse signals can be estimated from underdetermined linear systems. Distributed CS (DCS) further reduces the number of measurements by considering jointâ€¦ (More)

- Junan Zhu, Ahmad Beirami, Dror Baron
- 2016 IEEE International Symposium on Informationâ€¦
- 2016

We consider large-scale linear inverse problems in Bayesian settings. Our general approach follows a recent line of work that applies the approximate message passing (AMP) framework inâ€¦ (More)

- Junan Zhu, Dror Baron, Ahmad Beirami
- 2016

We consider large-scale linear inverse problems in Bayesian settings. We follow a recent line of work that applies the approximate message passing (AMP) framework to multiprocessor (MP) computationalâ€¦ (More)

- Junan Zhu, Dror Baron
- 2013 47th Annual Conference on Informationâ€¦
- 2013

In this paper, compressed sensing with noisy measurements is addressed. The theoretically optimal reconstruction error is studied by evaluating Tanaka's equation. The main contribution is to showâ€¦ (More)

- Yanting Ma, Junan Zhu, Dror Baron
- IEEE Transactions on Signal Processing
- 2016

We study compressed sensing (CS) signal reconstruction problems where an input signal is measured via matrix multiplication under additive white Gaussian noise. Our signals are assumed to beâ€¦ (More)

- Yanting Ma, Junan Zhu, Dror Baron
- ArXiv
- 2014

We study compressed sensing (CS) signal reconstruction problems where an input signal is measured via matrix multiplication under additive white Gaussian noise. Our signals are assumed to beâ€¦ (More)

- Junan Zhu, Dror Baron, Marco F. Duarte
- 2014 IEEE Workshop on Statistical Signalâ€¦
- 2014

We study the compressed sensing (CS) signal estimation problem where a signal is measured via a linear matrix multiplication under additive noise. While this setup usually assumes sparsity orâ€¦ (More)

- Puxiao Han, Junan Zhu, Ruixin Niu, Dror Baron
- 2016 IEEE International Conference on Acousticsâ€¦
- 2016

In this paper, a communication-efficient multi-processor compressed sensing framework based on the approximate message passing algorithm is proposed. We perform lossy compression on the data beingâ€¦ (More)

- Yanting Ma, Junan Zhu, Dror Baron
- ArXiv
- 2015

We study compressed sensing (CS) signal reconstruction problems where an input signal is measured via matrix multiplication under additive white Gaussian noise. Our signals are assumed to beâ€¦ (More)

- Junan Zhu, Ryan Pilgrim, Dror Baron
- 2017 51st Annual Conference on Informationâ€¦
- 2017

Approximate message passing (AMP) is an algorithmic framework for solving linear inverse problems from noisy measurements, with exciting applications such as reconstructing images, audio, hyperâ€¦ (More)