A frequency domain adaptive algorithm for colored measurement noise environment

The problem of incorporating partial knowledge of measurement noise into a frequency domain adaptive filtering scheme is addressed. The proposed algorithm is obtained by minimizing a BLUE criterion function using the stochastic gradient method and then switching over to the frequency domain to reduce the computational complexity. The performance of the algorithm in the situations of colored measurement noise is demonstrated by means of simulations using stationary as well as speech signals.