  This computer science master thesis aims at modelling the nonlinearities of a
loudspeaker. A piecewise linear approximation is initially explored and then we
present a nonlinear Volterra model to simulate the behavior of the system. The
general theory of continuous and discrete Volterra series is summarised. A
Normalized Least Mean Square algorithm is used to determine the Volterra series
to third order. We also present as inverted system which is trained with the
same algorithm. Training data for the models were collected measuring a
physical speaker using a laser interferometer. Results indicate a decrease in
Mean Squared Error compared to the linear model with a dependency on the
particular test signal, the order and the parameters of the model.
