Linear algebraic algorithms for high speed and stable reconstruction of plasma image

Computed tomography measurement was studied with linear algebraic methods of image reconstruction. The singular value and QR decompositions of the projection matrix give new types of series expansions of the plasma image and present stable and high speed imaging which might be useful for monitoring the time evolution of plasma in a fusion device with angular-limited, sparse and noisy data in projection observation.