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In order to simulate K-distribution Gaussian noise using MATLAB, the grid mapping method can be used. This method involves dividing the image into a grid and then mapping each point in the grid to a corresponding point in a new grid with a different size. This new grid can then be used to apply the K-distribution Gaussian noise simulation. This method is useful for creating more realistic simulations of noise in images and can be used in a variety of applications including image processing and computer vision.