Aliasing probability in multiple input linear signature automata for q-ary symmetric errors

The aliasing probability in single and multiple input linear automata signature registers (LASRs: linear feedback shift registers (LFSRs) and linear cellular automata) has been widely studied under the independent bit error model. Aliasing in a class of multiple-input LASRs (MILASRs) under the q-ary symmetric error model is examined. By modeling the signature analyzer as a two state Markov process, it is shown that the closed form expression previously derived for aliasing probability for multiple-input LFSRs with primitive polynomials holds for a far more general class of linear automata signature analyzers, including all multiple-input LFSRs. An easily verifiable criterion is given to determine whether a MILASR falls into this category. It is shown that for q-ary symmetric errors, the circuit complexity and the propagation delay can be minimized by using a set of m single bit LFSRs