Sensing

Compressive Sensing - Sparse in frequency example

Compressive Sensing - Sparse in frequency example
  1. What is signal sparsity?
  2. What is compressed sensing used for?
  3. What is compressed sensing MRI?
  4. What is compressive sensing theory?

What is signal sparsity?

A signal is said to be sparse if it can be represented in a basis or frame (e.g Fourier, Wavelets, Curvelets, etc.) in which the curve obtained by plotting the obtained coefficients, sorted by their decreasing absolute values, exhibits a polynomial decay.

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 compressed sensing MRI?

Compressed sensing (CS) is a method for accelerating MRI acquisition by acquiring less data through undersampling of k-space. This has the potential to mitigate the time-intensiveness of MRI.

What is compressive sensing theory?

The compressive sensing theory states that the signal can be reconstructed using just a small set of randomly acquired samples if it has a sparse (concise) representation in certain transform domain.

Pulse Is the maximum possible bandwidth of a radar system dependent (or related) to its center frequency?
Is the maximum possible bandwidth of a radar system dependent (or related) to its center frequency?
In this case the necessary bandwidth of radar receiver depends on the internal modulation of the signal, the compressed pulse width and a weighting fu...
Noise Non Gaussian noise in communication system
Non Gaussian noise in communication system
What is non-Gaussian noise?What is Gaussian noise in communication?Is noise Always Gaussian?Why is Gaussian noise important? What is non-Gaussian no...
Sift Why is scaling of images / pixels into '[0, 1]' range performed before SIFT (Scale Invariant Feature Transform) algorithm?
Why is scaling of images / pixels into '[0, 1]' range performed before SIFT (Scale Invariant Feature Transform) algorithm?
What does SIFT do in image processing?Why are SIFT features scale invariant?What is scale space in SIFT?What are the advantages of SIFT? What does S...