On multidimensional system identification

Various existing multidimensional system identification theories and techniques are reviewed. Particular attention is given to various modeling and parameter estimation techniques. State space, conditional Markovian simultaneous autoregressive, and finite-order autoregressive moving average methods and their various variants are discussed. Maximum-likelihood, least-squares, and other commonly used techniques are also studied.<>