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Code

Module by: Genaro Picazo

Summary: Code for our ELEC 301 Project for Fall 2003. By: Chris Omidiran, Genaro Picazo, Ian Wells, Daniel Wu

Basis/Orthogonal Matching Pursuit Code

This is our code for the basis pursuit and orthogonal matching pursuit algorithms for 2 dimensional signals, namely images. All of the code was written from scratch by members of the group, and was based on ideas drawn from our research. The code is shown below.

Figure 1: Code to define our dictionary for the algorithms.
BP Basis
BP Basis (bpbasis.JPG)

Figure 2: Given a an image, it decomposes the image into a representation of k terms.
BP Decompose
BP Decompose (bpdecompose.JPG)

Figure 3: Given a an image, it docomposes the image into a representation of k terms (this one is for OMP, it is the only function that differs between algorithms).
OMP Decompose
OMP Decompose (ompdecompose.JPG)

Figure 4: Decomposes and image into row signals.
BP Block Decompose
BP Block Decompose (bpblockdecompose.JPG)

Figure 5: Reconstructs the approximate representation of the original image.
BP Construct
BP Construct (bpconstructs.JPG)

Figure 6: Reconstructs each row of the approximate representation of the original image.
BP Block Construct
BP Block Construct (bpblockconstruct.JPG)

Figure 7: This algorithm takes in an image and the number of coefficients to use to approximate it and applies the BP algorithm to it.
Applying BP to an Image
Applying BP to an Image (imagproc.JPG)

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