Compressive Sensing Encoding and Decoding Hardware

The following is a non exhaustive list of technologies implementing Compressive Sensing.  For a list of technologies that could be enabled with compressive sensing but do not exist yet please check here.

1. Compressive Sensing Encoders / Random Multiplexing Samplers

1.1 Imagers

  1.1.1 The Rice one pixel camera and variations

        1.1.1.1 The Rice Single pixel camera. How it works.

        1.1.1.2 The Rice Illumination one pixel camera

        1.1.1.3 The Rice One Pixel Terahertz Imager

           Video of related interest:

• Compressive-Sensing Workshop video, Kevin Kelly - Micromirror-based Compressive Imaging and Spectroscopy

  1.1.2 The Duke Coded Aperture Snapshot Spectral Imaging (CASSI) 

An explanation is given in this video:         

Videos of related interest:   

• Compressive-Sensing Workshop video, David Brady - Coding and Regularization in Optical Sensor Forward and Inverse Models
• Compressive-Sensing Workshop video, Rebecca Willet - Compressed Sensing in Low-Light Imaging
  

  1.1.3 The University of Arizona Imagers

       1.1.3.1 The University of Arizona Random FSS Imager

       1.1.3.2 The University of Arizona Adaptive Spectral Imager

  1.1.4 The Georgia Tech Imagers

        1.1.4.1 The GT Transform Imager (in this paper, featured here)

        1.1.4.2 The GT Convolution Imager (featured here)

  1.1.5 The MIT Random Lens Imager  

  1.1.6 The EPFL CMOS CS Imager (additional information can be found here)

  1.1.7 The Columbia Compressive Structured Light for Recovering Inhomogeneous Participating Media

  1.1.8 The University of New Mexico Compressive Dual Photography set-up

  1.1.9 The Tel-Aviv Digital Snapshot Spectral Imager.

  1.1.10 Optically Multiplexed Imaging

          1.1.10.1 ASU/Duke Wide Field Imager

          1.1.10.2 Duke Compressive Sensing Coded Aperture Superresolution Imaging

           1.1.10.3 Duke Compressive Video Imaging

           1.1.10.4 Duke multichannel video camera.

   1.1.10 The Weizmann Institute Computational Ghost Imager 

   1.1.11.1 The University of Delaware Compressive Confocal Microscope.

   1.1.11.2 The University of Delaware CS microscope   

   1.1.12 The Heriot-Watt University/SELEX Galileo single-pixel, galvo-mirror-based scanning system

   1.1.13 The Pasteur Institute/ParisTech Telecom/ESPCI Microscope with off-axis frequency-shifting holography

   1.1.14 The UM/MIT/MERL Coded Strobing Camera

   1.1.15 The Washington University Integral Pixel Camera

   1.1.16 The UCLA Lensless wide-field fluorescent imager

   1.1.17 The INESC Porto/University of Porto/UNCC Active Illumination single pixel camera

1.2 Very High Frequency Sampling Hardware

        1.2.1 Rice/U Michigan Analog-to-Information: Random Pre-Integration System

        1.2.2 The Technion Modulated Wideband Converter (Sub-Nyquist Sampling of Sparse Wideband Analog Signals). 

See also

• the video by Yonina Eldar /- Beyond Nyquist: Compressed Sensing of Analog Signals
• More information on the hardware can be found in this video:
• Xampling Hardware page (or here).

     1.2.3 University of Tennessee Compressed Sensing Based UWB Receiver

1.3 MRI

This technology already exists, however Compressive Sensing enable a new way of gathering data at a much faster pace.

        1.3.1 Stanford effort.MRSR Lab

( Compressive-Sensing Workshop video, Michael Lustig - Frontiers in Rapid MRI: Parallel Imaging and Compressed Sensing)

        1.3.2 University of Wisconsin CMRI lab

        1.3.3  EPFL effort: Spread spectrum for accelerated acquisition in magnetic resonance imaging already implemented in MRI scanners.

1.4 Seismic

        1.4.1 UBC effort at SLIM

1.5 Ground Penetrating Radar

       1.5.1 ITB effort (Andryian Suksmono)

       1.5.2.Georgia Tech effort (Jim McClellan) [ also here ]

1.6 Compressive-Sampling Filter microwave circuits (Institute of Electronics, Chinese Academy of Sciences, Beijing.)

1.7 Cognitive Radio

      1.7.1 Effort at Texas A&M University

      1.7.2 Effort at University of Karlsruhe

1.8 Biology

      1.8.1 DNA Microarray [1] (Rice/UIUC)

      1.8.2 High Throughput Screening (HTS) (University of Michigan)

[click here for video]

      Also check the attendant poolMC paper.

      1.8.3 Compressed Sequencing (The Open University of Israel)

      1.8.4 Compressed Genotyping (Cold Spring Harbor Lab)

                Yaniv Erlich's video presentation of the DNA sudoku paper

1.9 X-Ray Holography

     1.9.1 Compressive Phase retrieval for Molecular Description

1.10 X-Ray astronomy camera

This instrument already exists but the compressive sensing coding scheme enable  maximum data throughput. 

      1.10.1 PACS camera on Herschel ( more information here and here)

1.11 Radar

    1.11.1 The Drexel University Step-Frequency Radar.

    1.11.2 The Institute of Electronics, Chinese Academy of Sciences, Beijing UWB radar

1.12 ECG

     1.12.1 T The EPFL Comprressed Sensing ECG system, A Real-Time Compressed Sensing-Based Personal Electrocardiogram Monitoring System  (as presented here and here)

     1.12.2 The Qualcomm Body Area Network

   

2. Reconstruction and Demultiplexing Hardware

2.1 UCLA GPU/Multicore solver.

2.2 University of Calgary GPU solver.

2.3 Graz University of Technology GPU solver

2.4 University of Wisconsin Implementation of SpaRSA on a GPU

2.5 The Lawrence Berkeley Lab Compressive Phase Contrast Tomography GPU solver