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Most analytical results on affine projection algorithms assume special regression models or Gaussian regression data. The available analyses also treat different affine projection filters separately. This paper provides a unified treatment of the transient performance of a family of affine projection algorithms. The treatment relies on energy conservation arguments and does not restrict the input data to being Gaussian or white. Simulation results illustrate the analysis and the derived performance expressions.