Patent ID: 8451921

Claim:
A method for adaptively learning a sparse impulse response of a continuous channel to which an input signal is applied and which delivers an output signal, comprising the following steps: low-pass filtering said input signal and said output signal and obtaining a filtered input signal and a filtered output signal, characterised in that, the method further comprises the steps of, sampling said filtered input signal and said filtered output signal with a sampling rate below the Nyquist rate and obtaining a sampled input signal and a sampled output signal retrieving from said sampled input signal and said sampled output signal an estimate of said sparse impulse response of said continuous channel, wherein said retrieving comprises modelling said estimate in the frequency domain as a filter comprising a sum of complex exponentials by carrying out a frequency domain least mean squares (FLMS) estimation of filter frequency values and using a Singular Value Decomposition (SVD) projection algorithm which exploits a low-rank structure of the filter to accelerate convergence of the frequency domain least mean squares (FLMS) estimation.