Digital Signal Processing
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The orthogonal least squares (OLS) algorithm is an efficient implementation of the forward selection method for subset model selection. The ability to find good subset parameters with only a linearly increasing computational requirement makes this method attractive for practical implementations. We examine the computational complexity of the algorithm and present a preprocessing method for reducing the computational requirement