Online Adaptive Statistical Compressed Sensing of Gaussian Mixture Models

12/26/2011
by   Julio Duarte-Carvajalino, et al.
0

A framework of online adaptive statistical compressed sensing is introduced for signals following a mixture model. The scheme first uses non-adaptive measurements, from which an online decoding scheme estimates the model selection. As soon as a candidate model has been selected, an optimal sensing scheme for the selected model continues to apply. The final signal reconstruction is calculated from the ensemble of both the non-adaptive and the adaptive measurements. For signals generated from a Gaussian mixture model, the online adaptive sensing algorithm is given and its performance is analyzed. On both synthetic and real image data, the proposed adaptive scheme considerably reduces the average reconstruction error with respect to standard statistical compressed sensing that uses fully random measurements, at a marginally increased computational complexity.

READ FULL TEXT
research
01/30/2011

Statistical Compressed Sensing of Gaussian Mixture Models

A novel framework of compressed sensing, namely statistical compressed s...
research
07/02/2014

Info-Greedy sequential adaptive compressed sensing

We present an information-theoretic framework for sequential adaptive co...
research
01/25/2012

Task-Driven Adaptive Statistical Compressive Sensing of Gaussian Mixture Models

A framework for adaptive and non-adaptive statistical compressive sensin...
research
07/02/2021

RL-NCS: Reinforcement learning based data-driven approach for nonuniform compressed sensing

A reinforcement-learning-based non-uniform compressed sensing (NCS) fram...
research
10/20/2010

Statistical Compressive Sensing of Gaussian Mixture Models

A new framework of compressive sensing (CS), namely statistical compress...
research
03/22/2013

Sample Distortion for Compressed Imaging

We propose the notion of a sample distortion (SD) function for independe...
research
02/26/2021

Oversampled Adaptive Sensing via a Predefined Codebook

Oversampled adaptive sensing (OAS) is a Bayesian framework recently prop...

Please sign up or login with your details

Forgot password? Click here to reset