System identification via singular value decomposition

The problem of identifying linear time invariant system parameters from their truncated impulse response data is studied. The authors analyse the algorithm originally proposed by Kung, and later modified by others, which is based on the singular value decomposition of the Hankel matrix. They propose a modified algorithm which generates more accurate results