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- Yuxin Chen, Yuejie Chi
- IEEE Transactions on Information Theory
- 2014

This paper explores the problem of spectral compressed sensing, which aims to recover a spectrally sparse signal from a small random subset of its n time domain samples. The signal of interest isâ€¦ (More)

- Yuxin Chen, Yuejie Chi, Andrea J. Goldsmith
- IEEE Transactions on Information Theory
- 2015

Statistical inference and information processing of high-dimensional data often require an efficient and accurate estimation of their second-order statistics. With rapidly changing data, limitedâ€¦ (More)

- Yuejie Chi, Ali Pezeshki, Louis L. Scharf, A. Robert Calderbank
- IEEE Transactions on Signal Processing
- 2010

The theory of compressed sensing suggests that successful inversion of an image of the physical world (broadly defined to include speech signals, radar/sonar returns, vibration records, sensor arrayâ€¦ (More)

- Yuanxin Li, Yuejie Chi
- IEEE Transactions on Signal Processing
- 2016

Compressed Sensing suggests that the required number of samples for reconstructing a signal can be greatly reduced if it is sparse in a known discrete basis, yet many real-world signals are sparse inâ€¦ (More)

- Yuejie Chi, Yonina C. Eldar, A. Robert Calderbank
- IEEE Transactions on Signal Processing
- 2013

Many real world datasets exhibit an embedding of low-dimensional structure in a high-dimensional manifold. Examples include images, videos and internet traffic data. It is of great significance toâ€¦ (More)

- Yuejie Chi
- IEEE Journal of Selected Topics in Signalâ€¦
- 2016

Neural recordings, returns from radars and sonars, images in astronomy and single-molecule microscopy can be modeled as a linear superposition of a small number of scaled and delayed copies of aâ€¦ (More)

- Yuejie Chi, Yonina C. Eldar, A. Robert Calderbank
- 2012 IEEE International Conference on Acousticsâ€¦
- 2012

We consider the problem of reconstructing a data stream from a small subset of its entries, where the data stream is assumed to lie in a low-dimensional linear subspace, possibly corrupted by noise.â€¦ (More)

- Huishuai Zhang, Yuejie Chi, Yingbin Liang
- ICML
- 2016

Solving systems of quadratic equations is a central problem in machine learning and signal processing. One important example is phase retrieval, which aims to recover a signal from only magnitudes ofâ€¦ (More)

- Yuejie Chi, Fatih Murat Porikli
- 2012 IEEE Conference on Computer Vision andâ€¦
- 2012

We present a novel multi-class classifier that strikes a balance between the nearest-subspace classifier, which assigns a test sample to the class that minimizes the distance between the test sampleâ€¦ (More)

- Yuejie Chi, Yuxin Chen
- IEEE Transactions on Signal Processing
- 2015

This paper is concerned with estimation of two-dimensional (2-D) frequencies from partial time samples, which arises in many applications such as radar, inverse scattering, and super-resolutionâ€¦ (More)