On the Measurement Matrix Used for Compressing Sensing

1. What is measurement matrix in compressive sensing?
2. What is compressed sensing used for?
3. What is the matrix in measurements?
4. What is sensing matrix?

What is measurement matrix in compressive sensing?

The measurement matrix is one of most essential parts in compressive sensing. For this application, the measurement matrix decides each time which part of the IR light will be reflected and finally reach the CNT detector. Correctly selected measurements will lead to fewer measurements and a clear reconstructed image.

What is compressed sensing used for?

Compressed sensing can be used to improve image reconstruction in holography by increasing the number of voxels one can infer from a single hologram. It is also used for image retrieval from undersampled measurements in optical and millimeter-wave holography.

What is the matrix in measurements?

In the measurement process, a measurement matrix is used to sample only the components that best represent the signal. The choice of the measurement matrix has an important impact on the accuracy and the processing time of the sparse recovery process.

What is sensing matrix?

One of the most important aspects of compressed sensing (CS) theory is an efficient design of sensing matrices. These sensing matrices are accountable for the required signal compression at the encoder end and its exact or approximate reconstruction at the decoder end.