Research Article
Randomized SVD Methods in Hyperspectral Imaging
Algorithm 1
Construct an orthonormal matrix
that approximates the range of matrix
.
Input: An matrix and precision measure . | Output: An matrix and rank . | Initialize as an empty matrix, and . | while do | . | , where is a Gaussian random vector. | . | . | . | . | Compute error . | end |
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