Transform domain CPtNLMS algorithms

The concept of self-orthogonalizing adaptation is extended from the least mean square algorithm to the general case of complex proportionate type normalized least mean square algorithms. The derived algorithm requires knowledge of the input signal's covariance matrix. Implementation of the algorithm using a fixed transform such as the discrete cosine transform or discrete wavelet transform is presented for applications in which the input signal's covariance matrix is unknown.