Abstract: A filter for a radio receiving device doubles a sample size of a digital baseband signal to form an enhanced data set and after widowing performs a Fast Fourier Transform (FFT) to facilitate calculation of instantaneous magnitude values and average magnitude values for each of a plurality of frequency bins. A noise floor is calculated based on the average magnitude values of a plurality of the frequency bins, and the noise floor is then used to identify frequency bins which contain an interfering signal. If it is determined that a frequency bin contains spectral energy associated with an interfering signal, then the instantaneous magnitude value of the frequency bin is selectively reduced, after which an inverse FFT operation and inverse window operation is performed.