Skip to Main Content
A theory for implementation of recursive digital filters that process signals by blocks is presented. It is shown that this approach provides a very general family of filters that includes both the conventional scalar implementation and batch processing. The approach is based on a matrix representation of convolution and results in a state-variable description with block feedback. An eigenvalue analysis guarantees stability of the realization and indicates a reduction in sensitivity to roundoff and coefficient accuracy.