Signal reconstruction from concentrated STFT peaks [short time Fourier transform peaks]

We propose a new method for adaptively removing noise and interference from a signal. In this method, isolation of the signal and interference components is facilitated by a concentration process applied to the short time Fourier transform (STFT). Unwanted components are removed from the concentrated surface, and a clean signal is estimated by integration. The concentrated STFT is a linear representation, free of cross terms and having the property that signal and interference components are easily recognized because their distributions are more concentrated in time and frequency. We demonstrate the advantages of the proposed method over conventional methods.