| 摘要 |
<p>The invention provides a real-time (or non real-time) signal processing apparatus which enables the accurate and robust discrimination, separation and suppression (or detection) of one or more component random signals/variables which comprise an unknown proportion of a composite random signal (or statistical mixture/ensemble) contained within a finite bandwidth; wherein, the component random signals/variables are characterised by having different (and not necessarily known) statistical attributes, e.g. cumulative probability distribution functions. The signal processing method and apparatus, which are suitable, for example, for audio noise reduction, divide a digital signal into successive sets of data and derive from each set a power spectrum. By sorting the power spectrum into rank order of magnitude, a point (Pd) along the rank ordered data set (Pr) where a change of gradient or rate of change of magnitude with element number is detectable in the case where the signal is a composite signal containing both signal and noise, and the elements having the lower gradient represent the noise component. The original signal can therefore be processed to suppress or zero those elements which have been identified as noise.</p> |
