Superresolution autoregressive spectral estimation technique using multiple step prediction

A single channel spectrum estimation is transformed to a multichannel problem. If λ is the pole of the autoregressive model and L is the dimension of the channels, then λ^Lis the resulting pole location obtained from the multichannel approach. The simulations illustrate that the new method is superior over the Burg´s method for the lowpass signals, regarding to the resolution.