The problem of sequentially deciding upon one of

mutually exclusive and exhaustive hypotheses has been studied in detail for the case of

. This correspondence presents the structure for the Bayes

-ary sequential detector. Computational results depend on a property called subspace separability, which allows one to reduce the dimensionality of the essential averaging process. Numerical results are presented for the case of Gaussian observation statistics and

.