Roundoff noise minimization in two-dimensional state-space digital filters using error feedback

This paper considers the problem of minimizing roundoff noise in two-dimensional (2-D) state-space digital filters subject to L2-norm dynamic-range scaling constraints. The minimization will be achieved by using error feedback. Several techniques for the determination of the optimal full-scale, block-diagonal, diagonal, and scalar error-feedback matrices for a given 2-D statespace digital filter are proposed. A numerical example is presented to illustrate the utility of the proposed techniques.

• Type: Conference
• Year: 2003
• Where: ISCAS
• Authors: Takao Hinamoto, Keisuke Higashi, Wu-Sheng Lu
• Keywords: Digital filter, Dynamic-range Scaling Constraints, ISCAS 2003, State-space Digital filters