Sensing

How to build the measurement matrix used for compressive sensing

How to build the measurement matrix used for compressive sensing
  1. What is measurement matrix in compressive sensing?
  2. How do you measure matrix?
  3. What is sensing matrix?
  4. How does compressed sensing work?

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.

How do you measure matrix?

The dimensions of a matrix are the number of rows by the number of columns. If a matrix has a rows and b columns, it is an a×b matrix.

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.

How does compressed sensing work?

Compressed sensing addresses the issue of high scan time by enabling faster acquisition by measuring fewer Fourier coefficients. This produces a high-quality image with relatively lower scan time. Another application (also discussed ahead) is for CT reconstruction with fewer X-ray projections.

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